{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Generalized Linear Models" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Recall the linear model\n", "\n", "$$y = \\alpha + \\beta x + \\epsilon$$\n" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "Linear models are appropriate where the response variable ($y$) is continuous and the errors ($\\epsilon$) are normally distributed. Many experimental designs (for example, case-control) have categorical outcomes and/or outcomes whose errors are not normally distributed. Often, these experiments may be modeled with a more general category of models called 'generalized linear models' (or GLMs)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To understand GLMs, we need to be more precise about what our linear regression is actually doing. We are really saying:\n", "\n", "$$y = \\mu + \\epsilon$$ \n", "\n", "or equivalently\n", "\n", "$$\\mathbb{E}(Y|x) = \\mu = \\alpha + \\beta x$$\n", "\n", "That is, our model is specifying the conditional expectation of observations $Y$ on the idependent variable $x$. In particular, that expectation is *linear*. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## What Happens When $\\mathbb{E}(Y|x)$ is Not Linear?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A natural question to ask is: Can we find a function of the expectation that *is* linear? We would like this function to be invertible, so that we are really just transforming things. The answer is 'yes' - if - we assume that $Y$ has a distribution that is part of the 'exponential family'.\n", "\n", "This family has the following form (note - this is vector notation)\n", "\n", "$$f_Y(y|\\theta) = h(y) g(\\theta)exp(\\eta(\\theta)\\cdot T(x))$$\n", "\n", "Kinda ugly, but also pretty general. Note that the normal distribution is in this family! So is the binomial, negative binomial, Poisson, Gamma,...\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Suppose our outcome variable $Y$ has a distribution in the exponential family. We need an invertible function $g$ so that:\n", "\n", "$$\\mathbb{E}(Y|x) = \\mu = g^{-1}(\\alpha + \\beta x)$$\n", "\n", "Why???\n", "\n", "Because when we apply $g$ to the expectation:\n", "\n", "$$g(\\mu) = g(g^{-1}(\\alpha + \\beta x))$$\n", "\n", "a miracle occurs...\n", "\n", "$$g(\\mu) = \\alpha + \\beta x$$\n", "\n", "Because it has miraculous properties, we give $g$ a name: $g$ is called a 'link' function. It 'links' the conditional expectation of our outcome variable to a linear function. Everybody loves linear functions! Yay!\n", "\n", "Now, DESeq2 uses a negative binomial model, and we'll talk about that - but first lets look at a model that is commonly used in case-control type settings." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\n", "## Logistic Regression" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In logistic regression, we model the *probability* of the outcome $y$, given the independent variable $x$. That is, \n", "$Y|x$ is Bernoulli, with success probability $p$ given by: \n", "\n", "$$\\mathbb{E}(Y|x) = p = \\frac{1}{1+e^{-(\\alpha + \\beta x)}}$$\n", "\n", "Note that $p$ is bounded between $0$ and $1$ and is defined for all values of $\\alpha + \\beta x$." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We use the notation $expit(t)$ to denote the following:\n", "\n", "$$expit(t) = \\frac{1}{1+e^{-t}}$$\n", "\n", "$expit$ is known as the *logistic function*.\n", "\n", "and $logit(t)$ to denote:\n", "\n", "$$logit(t) = \\log\\left(\\frac{1}{1-t}\\right)$$" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that:\n", "\n", "$$logit(expit(t)) = t$$\n", "\n", "so that \n", "\n", "$$logit(p) = \\alpha + \\beta x$$" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Because $logit(p) = logit(\\mathbb{E}(Y|x))$, it is called the *link* function. " ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "plot without title" ] }, "metadata": { "image/svg+xml": { "isolated": true } }, "output_type": "display_data" } ], "source": [ "expit<-function(t){\n", " return(1/(1+exp(-t)))\n", "}\n", "x<-expit((-10:10))\n", "plot(x)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "So, how do we perform a logistic regression in R? First, let's get a data set:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "Titanic<-read.csv(\"titanic.csv\")" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Warning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generatedWarning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generatedWarning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generatedWarning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generatedWarning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generatedWarning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generatedWarning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generatedWarning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generatedWarning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generatedWarning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generatedWarning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generatedWarning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generatedWarning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generatedWarning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generatedWarning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generatedWarning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generated" ] }, { "data": { "text/html": [ "\n", "\n", "\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\n", "
row.namespclasssurvivednameageembarkedhome.destroomticketboatsex
1111Allen, Miss Elisabeth Walton29SouthamptonSt Louis, MOB-524160 L2212female
2210Allison, Miss Helen Loraine2SouthamptonMontreal, PQ / Chesterville, ONC26female
3310Allison, Mr Hudson Joshua Creighton30SouthamptonMontreal, PQ / Chesterville, ONC26(135)male
4410Allison, Mrs Hudson J.C. (Bessie Waldo Daniels)25SouthamptonMontreal, PQ / Chesterville, ONC26female
5511Allison, Master Hudson Trevor0.9167SouthamptonMontreal, PQ / Chesterville, ONC2211male
6611Anderson, Mr Harry47SouthamptonNew York, NYE-123male
7711Andrews, Miss Kornelia Theodosia63SouthamptonHudson, NYD-713502 L7710female
8810Andrews, Mr Thomas, jr39SouthamptonBelfast, NIA-36male
9911Appleton, Mrs Edward Dale (Charlotte Lamson)58SouthamptonBayside, Queens, NYC-1012female
101010Artagaveytia, Mr Ramon71CherbourgMontevideo, Uruguay(22)male
111110Astor, Colonel John Jacob47CherbourgNew York, NY17754 L224 10s 6d(124)male
121211Astor, Mrs John Jacob (Madeleine Talmadge Force)19CherbourgNew York, NY17754 L224 10s 6d4female
131311Aubert, Mrs Leontine PaulineNACherbourgParis, FranceB-3517477 L69 6s9female
141411Barkworth, Mr Algernon H.NASouthamptonHessle, YorksA-23Bmale
151510Baumann, Mr John D.NASouthamptonNew York, NYmale
161611Baxter, Mrs James (Helene DeLaudeniere Chaput)50CherbourgMontreal, PQB-58/606female
171710Baxter, Mr Quigg Edmond24CherbourgMontreal, PQB-58/60male
181810Beattie, Mr Thomson36CherbourgWinnipeg, MNC-6male
191911Beckwith, Mr Richard Leonard37SouthamptonNew York, NYD-355male
202011Beckwith, Mrs Richard Leonard (Sallie Monypeny)47SouthamptonNew York, NYD-355female
212111Behr, Mr Karl Howell26CherbourgNew York, NYC-1485male
222210Birnbaum, Mr Jakob25CherbourgSan Francisco, CA(148)male
232311Bishop, Mr Dickinson H.25CherbourgDowagiac, MIB-497male
242411Bishop, Mrs Dickinson H. (Helen Walton)19CherbourgDowagiac, MIB-497female
252511Bjornstrm-Steffansson, Mr Mauritz Hakan28SouthamptonStockholm, Sweden / Washington, DC Dmale
262610Blackwell, Mr Stephen Weart45SouthamptonTrenton, NJ(241)male
272711Blank, Mr Henry39CherbourgGlen Ridge, NJA-317male
282811Bonnell, Miss Caroline30SouthamptonYoungstown, OHC-78female
292911Bonnell, Miss Elizabeth58SouthamptonBirkdale, England Cleveland, OhioC-1038female
303010Borebank, Mr John JamesNASouthamptonLondon / Winnipeg, MBD-21/2male
31⋮NA⋮NA⋮NANANANANANA
1284128400Vestrom, Miss Hulda Amanda AdolfinaNAfemale
1285128500Vonk, Mr JenkoNAmale
1286128600Ware, Mr FrederickNAmale
1287128700Warren, Mr Charles WilliamNAmale
1288128800Wazli, Mr YousifNAmale
1289128900Webber, Mr JamesNAmale
1290129001Wennerstrom, Mr August EdvardNAmale
1291129100Wenzel, Mr LinhartNAmale
1292129200Widegren, Mr Charles PeterNAmale
1293129300Wiklund, Mr Jacob AlfredNAmale
1294129401Wilkes, Mrs EllenNAfemale
1295129500Willer, Mr AaronNAmale
1296129600Willey, Mr EdwardNAmale
1297129700Williams, Mr Howard HughNAmale
1298129800Williams, Mr LeslieNAmale
1299129900Windelov, Mr EinarNAmale
1300130000Wirz, Mr AlbertNAmale
1301130100Wiseman, Mr PhillippeNAmale
1302130200Wittevrongel, Mr CamielNAmale
1303130301Yalsevac, Mr IvanNAmale
1304130400Yasbeck, Mr AntoniNAmale
1305130501Yasbeck, Mrs AntoniNAfemale
1306130600Youssef, Mr GeriosNAmale
1307130700Zabour, Miss HileniNAfemale
1308130800Zabour, Miss TaminiNAfemale
1309130900Zakarian, Mr ArtunNAmale
1310131000Zakarian, Mr MapriederNAmale
1311131100Zenn, Mr PhilipNAmale
1312131200Zievens, ReneNAfemale
1313131300Zimmerman, LeoNAmale
\n" ], "text/latex": [ "\\begin{tabular}{r|lllllllllll}\n", " & row.names & pclass & survived & name & age & embarked & home.dest & room & ticket & boat & sex\\\\\n", "\\hline\n", "\t1 & 1 & 1 & 1 & Allen, Miss Elisabeth Walton & 29 & Southampton & St Louis, MO & B-5 & 24160 L221 & 2 & female\\\\\n", "\t2 & 2 & 1 & 0 & Allison, Miss Helen Loraine & 2 & Southampton & Montreal, PQ / Chesterville, ON & C26 & & & female\\\\\n", "\t3 & 3 & 1 & 0 & Allison, Mr Hudson Joshua Creighton & 30 & Southampton & Montreal, PQ / Chesterville, ON & C26 & & (135) & male\\\\\n", "\t4 & 4 & 1 & 0 & Allison, Mrs Hudson J.C. (Bessie Waldo Daniels) & 25 & Southampton & Montreal, PQ / Chesterville, ON & C26 & & & female\\\\\n", "\t5 & 5 & 1 & 1 & Allison, Master Hudson Trevor & 0.9167 & Southampton & Montreal, PQ / Chesterville, ON & C22 & & 11 & male\\\\\n", "\t6 & 6 & 1 & 1 & Anderson, Mr Harry & 47 & Southampton & New York, NY & E-12 & & 3 & male\\\\\n", "\t7 & 7 & 1 & 1 & Andrews, Miss Kornelia Theodosia & 63 & Southampton & Hudson, NY & D-7 & 13502 L77 & 10 & female\\\\\n", "\t8 & 8 & 1 & 0 & Andrews, Mr Thomas, jr & 39 & Southampton & Belfast, NI & A-36 & & & male\\\\\n", "\t9 & 9 & 1 & 1 & Appleton, Mrs Edward Dale (Charlotte Lamson) & 58 & Southampton & Bayside, Queens, NY & C-101 & & 2 & female\\\\\n", "\t10 & 10 & 1 & 0 & Artagaveytia, Mr Ramon & 71 & Cherbourg & Montevideo, Uruguay & & & (22) & male\\\\\n", "\t11 & 11 & 1 & 0 & Astor, Colonel John Jacob & 47 & Cherbourg & New York, NY & & 17754 L224 10s 6d & (124) & male\\\\\n", "\t12 & 12 & 1 & 1 & Astor, Mrs John Jacob (Madeleine Talmadge Force) & 19 & Cherbourg & New York, NY & & 17754 L224 10s 6d & 4 & female\\\\\n", "\t13 & 13 & 1 & 1 & Aubert, Mrs Leontine Pauline & NA & Cherbourg & Paris, France & B-35 & 17477 L69 6s & 9 & female\\\\\n", "\t14 & 14 & 1 & 1 & Barkworth, Mr Algernon H. & NA & Southampton & Hessle, Yorks & A-23 & & B & male\\\\\n", "\t15 & 15 & 1 & 0 & Baumann, Mr John D. & NA & Southampton & New York, NY & & & & male\\\\\n", "\t16 & 16 & 1 & 1 & Baxter, Mrs James (Helene DeLaudeniere Chaput) & 50 & Cherbourg & Montreal, PQ & B-58/60 & & 6 & female\\\\\n", "\t17 & 17 & 1 & 0 & Baxter, Mr Quigg Edmond & 24 & Cherbourg & Montreal, PQ & B-58/60 & & & male\\\\\n", "\t18 & 18 & 1 & 0 & Beattie, Mr Thomson & 36 & Cherbourg & Winnipeg, MN & C-6 & & & male\\\\\n", "\t19 & 19 & 1 & 1 & Beckwith, Mr Richard Leonard & 37 & Southampton & New York, NY & D-35 & & 5 & male\\\\\n", "\t20 & 20 & 1 & 1 & Beckwith, Mrs Richard Leonard (Sallie Monypeny) & 47 & Southampton & New York, NY & D-35 & & 5 & female\\\\\n", "\t21 & 21 & 1 & 1 & Behr, Mr Karl Howell & 26 & Cherbourg & New York, NY & C-148 & & 5 & male\\\\\n", "\t22 & 22 & 1 & 0 & Birnbaum, Mr Jakob & 25 & Cherbourg & San Francisco, CA & & & (148) & male\\\\\n", "\t23 & 23 & 1 & 1 & Bishop, Mr Dickinson H. & 25 & Cherbourg & Dowagiac, MI & B-49 & & 7 & male\\\\\n", "\t24 & 24 & 1 & 1 & Bishop, Mrs Dickinson H. (Helen Walton) & 19 & Cherbourg & Dowagiac, MI & B-49 & & 7 & female\\\\\n", "\t25 & 25 & 1 & 1 & Bjornstrm-Steffansson, Mr Mauritz Hakan & 28 & Southampton & Stockholm, Sweden / Washington, DC & & & D & male\\\\\n", "\t26 & 26 & 1 & 0 & Blackwell, Mr Stephen Weart & 45 & Southampton & Trenton, NJ & & & (241) & male\\\\\n", "\t27 & 27 & 1 & 1 & Blank, Mr Henry & 39 & Cherbourg & Glen Ridge, NJ & A-31 & & 7 & male\\\\\n", "\t28 & 28 & 1 & 1 & Bonnell, Miss Caroline & 30 & Southampton & Youngstown, OH & C-7 & & 8 & female\\\\\n", "\t29 & 29 & 1 & 1 & Bonnell, Miss Elizabeth & 58 & Southampton & Birkdale, England Cleveland, Ohio & C-103 & & 8 & female\\\\\n", "\t30 & 30 & 1 & 0 & Borebank, Mr John James & NA & Southampton & London / Winnipeg, MB & D-21/2 & & & male\\\\\n", "\t31 & ⋮ & NA & ⋮ & NA & ⋮ & NA & NA & NA & NA & NA & NA\\\\\n", "\t1284 & 1284 & 0 & 0 & Vestrom, Miss Hulda Amanda Adolfina & NA & & & & & & female\\\\\n", "\t1285 & 1285 & 0 & 0 & Vonk, Mr Jenko & NA & & & & & & male\\\\\n", "\t1286 & 1286 & 0 & 0 & Ware, Mr Frederick & NA & & & & & & male\\\\\n", "\t1287 & 1287 & 0 & 0 & Warren, Mr Charles William & NA & & & & & & male\\\\\n", "\t1288 & 1288 & 0 & 0 & Wazli, Mr Yousif & NA & & & & & & male\\\\\n", "\t1289 & 1289 & 0 & 0 & Webber, Mr James & NA & & & & & & male\\\\\n", "\t1290 & 1290 & 0 & 1 & Wennerstrom, Mr August Edvard & NA & & & & & & male\\\\\n", "\t1291 & 1291 & 0 & 0 & Wenzel, Mr Linhart & NA & & & & & & male\\\\\n", "\t1292 & 1292 & 0 & 0 & Widegren, Mr Charles Peter & NA & & & & & & male\\\\\n", "\t1293 & 1293 & 0 & 0 & Wiklund, Mr Jacob Alfred & NA & & & & & & male\\\\\n", "\t1294 & 1294 & 0 & 1 & Wilkes, Mrs Ellen & NA & & & & & & female\\\\\n", "\t1295 & 1295 & 0 & 0 & Willer, Mr Aaron & NA & & & & & & male\\\\\n", "\t1296 & 1296 & 0 & 0 & Willey, Mr Edward & NA & & & & & & male\\\\\n", "\t1297 & 1297 & 0 & 0 & Williams, Mr Howard Hugh & NA & & & & & & male\\\\\n", "\t1298 & 1298 & 0 & 0 & Williams, Mr Leslie & NA & & & & & & male\\\\\n", "\t1299 & 1299 & 0 & 0 & Windelov, Mr Einar & NA & & & & & & male\\\\\n", "\t1300 & 1300 & 0 & 0 & Wirz, Mr Albert & NA & & & & & & male\\\\\n", "\t1301 & 1301 & 0 & 0 & Wiseman, Mr Phillippe & NA & & & & & & male\\\\\n", "\t1302 & 1302 & 0 & 0 & Wittevrongel, Mr Camiel & NA & & & & & & male\\\\\n", "\t1303 & 1303 & 0 & 1 & Yalsevac, Mr Ivan & NA & & & & & & male\\\\\n", "\t1304 & 1304 & 0 & 0 & Yasbeck, Mr Antoni & NA & & & & & & male\\\\\n", "\t1305 & 1305 & 0 & 1 & Yasbeck, Mrs Antoni & NA & & & & & & female\\\\\n", "\t1306 & 1306 & 0 & 0 & Youssef, Mr Gerios & NA & & & & & & male\\\\\n", "\t1307 & 1307 & 0 & 0 & Zabour, Miss Hileni & NA & & & & & & female\\\\\n", "\t1308 & 1308 & 0 & 0 & Zabour, Miss Tamini & NA & & & & & & female\\\\\n", "\t1309 & 1309 & 0 & 0 & Zakarian, Mr Artun & NA & & & & & & male\\\\\n", "\t1310 & 1310 & 0 & 0 & Zakarian, Mr Maprieder & NA & & & & & & male\\\\\n", "\t1311 & 1311 & 0 & 0 & Zenn, Mr Philip & NA & & & & & & male\\\\\n", "\t1312 & 1312 & 0 & 0 & Zievens, Rene & NA & & & & & & female\\\\\n", "\t1313 & 1313 & 0 & 0 & Zimmerman, Leo & NA & & & & & & male\\\\\n", "\\end{tabular}\n" ], "text/plain": [ " row.names pclass survived\n", "1 1 1 1\n", "2 2 1 0\n", "3 3 1 0\n", "4 4 1 0\n", "5 5 1 1\n", "6 6 1 1\n", "7 7 1 1\n", "8 8 1 0\n", "9 9 1 1\n", "10 10 1 0\n", "11 11 1 0\n", "12 12 1 1\n", "13 13 1 1\n", "14 14 1 1\n", "15 15 1 0\n", "16 16 1 1\n", "17 17 1 0\n", "18 18 1 0\n", "19 19 1 1\n", "20 20 1 1\n", "21 21 1 1\n", "22 22 1 0\n", "23 23 1 1\n", "24 24 1 1\n", "25 25 1 1\n", "26 26 1 0\n", "27 27 1 1\n", "28 28 1 1\n", "29 29 1 1\n", "30 30 1 0\n", "31 31 1 1\n", "32 32 1 1\n", "33 33 1 1\n", "34 34 1 0\n", "35 35 1 0\n", "36 36 1 0\n", "37 37 1 1\n", "38 38 1 1\n", "39 39 1 1\n", "40 40 1 0\n", "41 41 1 1\n", "42 42 1 1\n", "43 43 1 1\n", "44 44 1 1\n", "45 45 1 0\n", "46 46 1 0\n", "47 47 1 0\n", "48 48 1 1\n", "49 49 1 1\n", "50 50 1 1\n", "51 51 1 1\n", "52 52 1 0\n", "53 53 1 1\n", "54 54 1 0\n", "55 55 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(Bessie Waldo Daniels) 25.0000\n", "5 Allison, Master Hudson Trevor 0.9167\n", "6 Anderson, Mr Harry 47.0000\n", "7 Andrews, Miss Kornelia Theodosia 63.0000\n", "8 Andrews, Mr Thomas, jr 39.0000\n", "9 Appleton, Mrs Edward Dale (Charlotte Lamson) 58.0000\n", "10 Artagaveytia, Mr Ramon 71.0000\n", "11 Astor, Colonel John Jacob 47.0000\n", "12 Astor, Mrs John Jacob (Madeleine Talmadge Force) 19.0000\n", "13 Aubert, Mrs Leontine Pauline NA\n", "14 Barkworth, Mr Algernon H. NA\n", "15 Baumann, Mr John D. NA\n", "16 Baxter, Mrs James (Helene DeLaudeniere Chaput) 50.0000\n", "17 Baxter, Mr Quigg Edmond 24.0000\n", "18 Beattie, Mr Thomson 36.0000\n", "19 Beckwith, Mr Richard Leonard 37.0000\n", "20 Beckwith, Mrs Richard Leonard (Sallie Monypeny) 47.0000\n", "21 Behr, Mr Karl Howell 26.0000\n", "22 Birnbaum, Mr Jakob 25.0000\n", "23 Bishop, Mr Dickinson H. 25.0000\n", "24 Bishop, Mrs Dickinson H. (Helen Walton) 19.0000\n", "25 Bjornstrm-Steffansson, Mr Mauritz Hakan 28.0000\n", "26 Blackwell, Mr Stephen Weart 45.0000\n", "27 Blank, Mr Henry 39.0000\n", "28 Bonnell, Miss Caroline 30.0000\n", "29 Bonnell, Miss Elizabeth 58.0000\n", "30 Borebank, Mr John James NA\n", "31 Bowen, Miss Grace Scott 45.0000\n", "32 Bowerman, Miss Elsie Edith 22.0000\n", "33 Bradley, Mr George NA\n", "34 Brady, Mr John Bertram 41.0000\n", "35 Brandeis, Mr Emil 48.0000\n", "36 Brewe, Dr Arthur Jackson NA\n", "37 Brown, Mrs James Joseph (Margaret Molly Tobin) 44.0000\n", "38 Brown, Mrs John Murray (Caroline Lane Lamson) 59.0000\n", "39 Bucknell, Mrs William Robert (Emma Eliza Ward) 60.0000\n", "40 Butt, Major Archibald Willingham 45.0000\n", "41 Calderhead, Mr Edward P. NA\n", "42 Candee, Mrs Edward (Helen Churchill Hungerford) 53.0000\n", "43 Cardeza, Mrs James Warburton Martinez (Charlotte Wardle Drake) 58.0000\n", "44 Cardeza, Mr Thomas Drake Martinez 36.0000\n", "45 Carlsson, Mr Frans Olof 33.0000\n", "46 Carrau, Mr Francisco M. NA\n", "47 Carrau, Mr Jose Pedro NA\n", "48 Carter, Mr William Ernest 36.0000\n", "49 Carter, Mrs William Ernest (Lucile Polk) 36.0000\n", "50 Carter, Miss Lucile Polk 14.0000\n", "51 Carter, Master William T. II 11.0000\n", "52 Case, Mr Howard Brown 49.0000\n", "53 Cassebeer, Mrs Henry Arthur jr (Genevieve Fosdick) NA\n", "54 Cavendish, Mr Tyrell William 36.0000\n", "55 Cavendish, Mrs Tyrell William Julia Florence Siegel NA\n", "56 Chaffee, Mr Herbert Fuller 46.0000\n", "57 Chaffee, Mrs Herbert Fuller (Carrie Constance Toogood) 47.0000\n", "58 Chambers, Mr Norman Campbell 27.0000\n", "59 Chambers, Mrs Norman Campbell (Bertha Griggs) 31.0000\n", "60 Cherry, Miss Gladys NA\n", "61 Chevre, Mr Paul NA\n", "62 Chibnall (Bowerman), Mrs Edith Martha NA\n", "63 Chisholm, Mr Roderick Robert NA\n", "64 Clark, Mr Walter Miller 27.0000\n", "65 Clark, Mrs Walter Miller (Virginia McDowell) 26.0000\n", "66 Clifford, Mr George Quincy NA\n", "67 Colley, Mr Edward Pomeroy NA\n", "68 Compton, Mrs Alexander Taylor (Mary Eliza Ingersoll) 64.0000\n", "69 Compton, Mr Alexander Taylor, Jr 37.0000\n", "70 Compton, Miss Sara Rebecca 39.0000\n", "71 Cornell, Mrs Robert Clifford (Malvina Helen Lamson) 55.0000\n", "72 Crafton, Mr John Bertram NA\n", "73 Crosby, Captain Edward Gifford 70.0000\n", "74 Crosby, Mrs Edward Gifford (Catherine Elizabeth Halstead) 69.0000\n", "75 Crosby, Miss Harriet R. 36.0000\n", "76 Cumings, Mr John Bradley 39.0000\n", "77 Cumings, Mrs John Bradley (Florence Briggs Thayer) 38.0000\n", "78 Daly, Mr Peter Denis NA\n", "79 Daniel, Mr Robert Williams 27.0000\n", "80 Davidson, Mr Thornton 31.0000\n", "81 Davidson, Mrs Thornton (Orian Hays) 27.0000\n", "82 de Villiers, Madame Berthe NA\n", "83 Dick, Mr Albert Adrian 31.0000\n", "84 Dick, Mrs Albert Adrian Vera Gillespie 17.0000\n", "85 Dodge, Dr. Washington NA\n", "86 Dodge, Mrs Washington (Ruth Vidaver) NA\n", "87 Dodge, Master Washington 4.0000\n", "88 Douglas, Mrs Frederick Charles (Suzette Baxter) 27.0000\n", "89 Douglas, Mr Walter Donald 50.0000\n", "90 Douglas, Mrs Walter Donald (Mahala Dutton) 48.0000\n", "91 Duff Gordon, Sir Cosmo Edmund 49.0000\n", "92 Duff Gordon, Lady (Lucille Wallace Sutherland) 48.0000\n", "93 Dulles, Mr William Crothers 39.0000\n", "94 Earnshaw, Mrs Boulton (Olive Potter) 23.0000\n", "95 Eustis, Miss Elizabeth Mussey 53.0000\n", "96 Evans, Miss Edith Corse 36.0000\n", "97 Flegenheim, Mrs Alfred (Antoinette) NA\n", "98 Flynn, Mr John Irving NA\n", "99 Foreman, Mr Benjamin Laventall 30.0000\n", "100 Fortune, Miss Alice Elizabeth 24.0000\n", "101 Fortune, Mr Charles Alexander 19.0000\n", "102 Fortune, Miss Ethel Flora 28.0000\n", "103 Fortune, Miss Mabel 23.0000\n", "104 Fortune, Mr Mark 64.0000\n", "105 Fortune, Mrs Mark (Mary McDougald) 60.0000\n", "106 Franklin, Mr Thomas Parham NA\n", "107 Frauenthal, Dr Henry William 49.0000\n", "108 Frauenthal, Mrs Henry William (Clara Heinsheimer) NA\n", "109 Frauenthal, Mr Isaac Gerald 44.0000\n", "110 Frolicher, Miss Marguerite 22.0000\n", "111 Frolicher-Stehli, Mr Maxmillian 60.0000\n", "112 Frolicher-Stehli, Mrs Maxmillian (Margaretha Emerentia Stehli) 48.0000\n", "113 Futrelle, Mr Jacques 37.0000\n", "114 Futrelle, Mrs Jacques (May Peel) 35.0000\n", "115 Gee, Mr Arthur H. 47.0000\n", "116 Gibson, Miss Dorothy 22.0000\n", "117 Gibson, Mrs Leonard (Pauline C. Boeson) 45.0000\n", "118 Goldenberg, Mr Samuel L. 49.0000\n", "119 Goldenberg, Mrs Samuel L. (Edwiga Grabowsko) NA\n", "120 Goldschmidt, Mr George B. 71.0000\n", "121 Gracie, Colonel Archibald IV 54.0000\n", "122 Graham, Mr George Edward 38.0000\n", "123 Graham, Miss Margaret Edith 19.0000\n", "124 Graham, Mrs William Thompson (Edith Junkins) 58.0000\n", "125 Greenfield, Mrs Leo David (Blanche Strouse) 45.0000\n", "126 Greenfield, Mr William Bertram 23.0000\n", "127 Guggenheim, Mr Benjamin 46.0000\n", "128 Harder, Mr George Achilles 25.0000\n", "129 Harder, Mrs George Achilles (Dorothy Annan) 21.0000\n", "130 Harper, Mr Henry Sleeper 48.0000\n", "131 Harper, Mrs Henry Sleeper (Myna Haxtun) 49.0000\n", "132 Harris, Mr Henry Birkhardt 45.0000\n", "133 Harris, Mrs Henry Birkhardt (Irene Wallach) 36.0000\n", "134 Hawksford, Mr Walter James NA\n", "135 Hays, Mr Charles Melville 55.0000\n", "136 Hays, Mrs Charles Melville (Clara Jennings Gregg) 52.0000\n", "137 Hays, Miss Margaret Bechstein 24.0000\n", "138 Head, Mr Christopher NA\n", "139 Hilliard, Mr Herbert Henry NA\n", "140 Hipkins, Mr William Edward NA\n", "141 Hippach, Miss Jean Gertrude 16.0000\n", "142 Hippach, Mrs Louis Albert (Ida Sophia Fischer) 44.0000\n", "143 Hogeboom, Mrs John C. (Anna Andrews) 51.0000\n", "144 Holverson, Mr Alexander Oskar 42.0000\n", "145 Holverson, Mrs Alexander Oskar (Mary Aline Towner) 35.0000\n", "146 Homer, Mr Harry 35.0000\n", "147 Hoyt, Mr Frederick Maxfield 38.0000\n", "148 Hoyt, Mrs Frederick Maxfield (Jane Anne Forby) 35.0000\n", "149 Hoyt, Mr William F. NA\n", "150 Isham, Miss Anne Elizabeth 50.0000\n", "151 Ismay, Mr Joseph Bruce 49.0000\n", "152 Jones, Mr Charles Cresson 46.0000\n", "153 Julian, Mr Henry Forbes NA\n", "154 Kent, Mr Edward Austin 58.0000\n", "155 Kenyon, Mr Frederick R. 41.0000\n", "156 Kenyon, Mrs Frederick R. (Marion) NA\n", "157 Kimball, Mr Edwin Nelson Jr. 42.0000\n", "158 Kimball, Mrs Edwin Nelson Jr. (Gertrude Parsons) 40.0000\n", "159 Klaber, Mr Herman NA\n", "160 Leader, Dr Alice Farnham NA\n", "161 Lewy, Mr Ervin G. NA\n", "162 Lindeberg-Lind, Mr Erik Gustaf 42.0000\n", "163 Lindstrom, Mrs Carl Johan (Sigrid Posse) 55.0000\n", "164 Lines, Mrs Ernest H. (Elizabeth Lindsey James) 50.0000\n", "165 Lines, Miss Mary Conover 16.0000\n", "166 Lingrey, Mr Edward NA\n", "167 Long, Mr Milton Clyde 29.0000\n", "168 Longley, Miss Gretchen Fiske 21.0000\n", "169 Loring, Mr Joseph Holland 30.0000\n", "170 Madill, Miss Georgette Alexandra 15.0000\n", "171 Maguire, Mr John Edward 30.0000\n", "172 Marechal, Mr Pierre NA\n", "173 Marvin, Mr Daniel Warner NA\n", "174 Marvin, Mrs Daniel Warner (Mary Graham Carmichael Farquarson) NA\n", "175 McCaffry, Mr Thomas Francis 46.0000\n", "176 McCarthy, Mr Timothy J. 54.0000\n", "177 McGough, Mr James R. 36.0000\n", "178 Meyer, Mr Edgar Joseph 28.0000\n", "179 Meyer, Mrs Edgar Joseph (Leila Saks) NA\n", "180 Millet, Mr Francis Davis 65.0000\n", "181 Minahan, Miss Daisy E. 33.0000\n", "182 Minahan, Dr William Edward 44.0000\n", "183 Minahan, Mrs William Edward (Lillian E. Thorpe) 37.0000\n", "184 Mock, Mr Philip E. NA\n", "185 Molson, Mr Harry Markland 55.0000\n", "186 Moore, Mr Clarence Bloomfield 47.0000\n", "187 Natsch, Mr Charles H. 36.0000\n", "188 Newell, Mr Arthur Webster 58.0000\n", "189 Newell, Miss Madeleine 31.0000\n", "190 Newell, Miss Marjorie 23.0000\n", "191 Newsom, Miss Helen Monypeny 19.0000\n", "192 Nicholson, Mr Arthur Ernest 64.0000\n", "193 Omont, Mr A. Fernand NA\n", "194 Ostby, Mr Engelhart Cornelius 64.0000\n", "195 Ostby, Miss Helen Raghnild 22.0000\n", "196 Ovies y Rodriguez, Mr Servando 28.0000\n", "197 Parr, Mr William Henry Marsh NA\n", "198 Partner, Mr Austin NA\n", "199 Payne, Mr Vivian Ponsonby 22.0000\n", "200 Pears, Mr Thomas NA\n", "201 Pears, Mrs Thomas (Edith) NA\n", "202 Penasco, Mr Victor de Satode 18.0000\n", "203 Penasco, Mrs Victor de Satode (Josefa de Soto) 17.0000\n", "204 Peuchen, Major Arthur Godfrey 52.0000\n", "205 Porter, Mr Walter Chamberlain 46.0000\n", "206 Potter, Mrs Thomas, Jr. (Lily Alexenia Wilson) 56.0000\n", "207 Reuchlin, Jonkheer John George NA\n", "208 Rheims, Mr George Lucien NA\n", "209 Robert, Mrs Edward Scott (Elisabeth Walton McMillan) 43.0000\n", "210 Roebling, Mr Washington Augustus 2nd 31.0000\n", "211 Romaine, Mr Charles Hallace NA\n", "212 Rood, Mr Hugh R. NA\n", "213 Rosenbaum (Russell), Miss Edith Louise 33.0000\n", "214 Ross, Mr John Hugo NA\n", "215 Rothes, the Countess of (Noel Lucy Martha Dyer-Edwardes) 27.0000\n", "216 Rothschild, Mr Martin 55.0000\n", "217 Rothschild, Mrs Martin (Elizabeth L. Barrett) 54.0000\n", "218 Rowe, Mr Alfred G. NA\n", "219 Ryerson, Mr Arthur Larned 61.0000\n", "220 Ryerson, Mrs Arthur Larned (Emily Maria Borie) 48.0000\n", "221 Ryerson, Miss Emily Borie 18.0000\n", "222 Ryerson, Master John Borie 13.0000\n", "223 Ryerson, Miss Susan (Suzette) Parker 21.0000\n", "224 Saalfeld, Mr Adolphe NA\n", "225 Salomon, Mr Abraham L. NA\n", "226 Schabert, Mrs Paul (Emma Mock) NA\n", "227 Seward, Mr Frederic Kimber 34.0000\n", "228 Shutes, Miss Elizabeth W. 40.0000\n", "229 Silverthorne, Mr Spencer Victor 36.0000\n", "230 Silvey, Mr William Baird 50.0000\n", "231 Silvey, Mrs William Baird (Alice Munger) 39.0000\n", "232 Simonius-Blumer, Col Alfons 56.0000\n", "233 Sloper, Mr William Thompson 28.0000\n", "234 Smart, Mr John Montgomery 56.0000\n", "235 Smith, Mr James Clinch 56.0000\n", "236 Smith, Mr Lucien Philip 24.0000\n", "237 Smith, Mrs Lucien Philip (Mary Eloise Hughes 18.0000\n", "238 Smith, Mr Richard William NA\n", "239 Snyder, Mr John Pillsbury 24.0000\n", "240 Snyder, Mrs John Pillsbury (Nelle Stevenson) 23.0000\n", "241 Spedden, Mr Frederick Oakley 45.0000\n", "242 Spedden, Mrs Frederick Oakley (Margaretta Corning Stone) 40.0000\n", "243 Spedden, Master Robert Douglas 6.0000\n", "244 Spencer, Mr William Augustus 57.0000\n", "245 Spencer, Mrs William Augustus (Marie Eugenie) NA\n", "246 Staehlin, Dr Max 32.0000\n", "247 Stead, Mr William Thomas 62.0000\n", "248 Stengel, Mr Charles Emil Henry 54.0000\n", "249 Stengel, Mrs Charles Emil Henry (Annie May Morris) 43.0000\n", "250 Stephenson, Mrs Walter Bertram (Martha Eustis) 52.0000\n", "251 Stewart, Mr Albert A. NA\n", "252 Stone, Mrs George Nelson (Martha E.) 62.0000\n", "253 Straus, Mr Isidor 67.0000\n", "254 Straus, Mrs Isidor (Ida Blun) 63.0000\n", "255 Sutton, Mr Frederick 61.0000\n", "256 Swift, Mrs Frederick Joel (Margaret Welles Barron) 46.0000\n", "257 Taussig, Mr Emil 52.0000\n", "258 Taussig, Mrs Emil (Tillie Mandelbaum) 39.0000\n", "259 Taussig, Miss Ruth 18.0000\n", "260 Taylor, Mr Elmer Zebley 48.0000\n", "261 Taylor, Mrs Elmer Zebley (Juliet Cummins Wright) NA\n", "262 Thayer, Mr John Borland 49.0000\n", "263 Thayer, Mrs John Borland (Marian Longstreth Morris) 39.0000\n", "264 Thayer, Mr John Borland, jr. 17.0000\n", "265 Thorne, Mr George (alias of: Mr George Rosenshine) 46.0000\n", "266 Thorne, Mrs Gertrude Maybelle NA\n", "267 Tucker, Mr Gilbert Milligan, jr 31.0000\n", "268 Uruchurtu, Mr Manuel E. NA\n", "269 Van Derhoef, Mr Wyckoff 61.0000\n", "270 Walker, Mr William Anderson 47.0000\n", "271 Warren, Mr Frank Manley 64.0000\n", "272 Warren, Mrs Frank Manley (Anna S. Atkinson) 60.0000\n", "273 Weir, Col John 60.0000\n", "274 White, Mrs J. Stuart (Ella Holmes) 55.0000\n", "275 White, Mr Percival Wayland 54.0000\n", "276 White, Mr Richard Frasar 21.0000\n", "277 Wick, Mr George Dennick 57.0000\n", "278 Wick, Mrs George Dennick (Martha Hitchcock) 45.0000\n", "279 Wick, Miss Mary Natalie 31.0000\n", "280 Widener, Mr George Dunton 50.0000\n", "281 Widener, Mrs George Dunton (Eleanor Elkins) 50.0000\n", "282 Widener, Mr Harry Elkins 27.0000\n", "283 Willard, Miss Constance 20.0000\n", "284 Williams, Mr Charles Duane 51.0000\n", "285 Williams, Mr Fletcher Lambert NA\n", "286 Williams, Mr Richard Norris II 21.0000\n", "287 Woolner, Mr Hugh NA\n", "288 Wright, Mr George NA\n", "289 Young, Miss Marie Grice 36.0000\n", "290 Barber, Ms NA\n", "291 Bazzani, Ms Albina NA\n", "292 Bidois, Miss Rosalie NA\n", "293 Bird, Ms Ellen NA\n", "294 Bissetti, Ms Amelia NA\n", "295 Burns, Ms Elizabeth Margaret NA\n", "296 Chaudanson, Ms \\tVictorine NA\n", "297 Cleaver, Ms Alice NA\n", "298 Daniels, Ms Sarah NA\n", "299 Endres, Miss Caroline Louise NA\n", "300 Farthing, Mr John NA\n", "301 Fleming, Ms Margaret NA\n", "302 Francatelli, Ms Laura Mabel NA\n", "303 Fry, Mr Richard NA\n", "304 Geiger, Miss Emily NA\n", "305 Giglio, Mr Victor NA\n", "306 Harrington, Mr Charles NA\n", "307 Harrison, Mr William \\tHenry 40.0000\n", "308 Hassah, Mr Hamad NA\n", "309 Icabad (Icabod), Ms NA\n", "310 Keeping, Mr Edwin 32.0000\n", "311 Kenchen, Ms Amelia NA\n", "312 LeRoy, Miss Berthe NA\n", "313 Lesneur, Mr Gustave NA\n", "314 Maloney, Ms NA\n", "315 Oliva, Mlle NA\n", "316 Pericault, Ms NA\n", "317 Ringhini, Mr Sante 33.0000\n", "318 Robbins, Mr Victor NA\n", "319 Segesser, Mlle. Emma NA\n", "320 Seredeca, Ms NA\n", "321 Ward, Ms Anna NA\n", "322 Wilson, Ms Helen NA\n", "323 Abelson, Mr Samuel 30.0000\n", "324 Abelson, Mrs Samuel (Anna) 28.0000\n", "325 Andrew, Mr Edgar Samuel 18.0000\n", "326 Andrew, Mr Frank NA\n", "327 Angle, Mr William A. 34.0000\n", "328 Angle, Mrs William A. (Florence) 32.0000\n", "329 Ashby, Mr John 57.0000\n", "330 Bailey, Mr Percy Andrew 18.0000\n", "331 Baimbrigge, Mr Charles R. 23.0000\n", "332 Balls, Mrs Ada E. Hall 36.0000\n", "333 Banfield, Mr Frederick J. 28.0000\n", "334 Bateman, Rev Robert James 51.0000\n", "335 Beane, Mr Edward 32.0000\n", "336 Beane, Mrs Edward (Ethel Clarke) 19.0000\n", "337 Beauchamp, Mr Henry James 28.0000\n", "338 Becker, Mrs Allen Oliver (Nellie E. Baumgardner) 36.0000\n", "339 Becker, Miss Marion Louise 4.0000\n", "340 Becker, Master Richard F. 1.0000\n", "341 Becker, Miss Ruth Elizabeth 12.0000\n", "342 Beesley, Mr Lawrence 34.0000\n", "343 Bentham, Miss Lilian W. 19.0000\n", "344 Berriman, Mr William S. 23.0000\n", "345 Botsford, Mr William Hull 26.0000\n", "346 Bowenur, Mr Solomon NA\n", "347 Bracken, Mr James H. 27.0000\n", "348 Brown, Miss Edith E. 15.0000\n", "349 Brown, Mr Thomas William Solomon 45.0000\n", "350 Brown, Mrs Thomas William Solomon (Elizabeth C.) 40.0000\n", "351 Bryhl, Miss Dagmar 20.0000\n", "352 Bryhl, Mr Kurt Arnold Gottfrid 25.0000\n", "353 Buss, Miss Kate 36.0000\n", "354 Butler, Mr Reginald Fenton 25.0000\n", "355 Byles, Rev. Thomas Roussel D. NA\n", "356 Bystrom, Mrs Carolina 42.0000\n", "357 Caldwell, Mr Albert Francis 26.0000\n", "358 Caldwell, Mrs Albert Francis (Sylvia Mae Harbaugh) 26.0000\n", "359 Caldwell, Master Alden Gates 0.8333\n", "360 Cameron, Miss Clear 31.0000\n", "361 Campbell, Mr William NA\n", "362 Carbines, Mr William 19.0000\n", "363 Carter, Rev Ernest Courtenay 54.0000\n", "364 Carter, Mrs Ernest Courtenay (Lillian Hughes) 44.0000\n", "365 Chapman, Mr Charles Henry 52.0000\n", "366 Chapman, Mr John Henry 30.0000\n", "367 Chapman, Mrs John Henry (Elizabeth Lawry) 30.0000\n", "368 Christy, Mrs Alice Frances NA\n", "369 Christy, Miss Julie NA\n", "370 Clarke, Mr Charles V. 29.0000\n", "371 Clarke, Mrs Charles V. (Ada Maria) NA\n", "372 Coleridge, Mr Reginald Charles 29.0000\n", "373 Collander, Mr Erik 27.0000\n", "374 Collett, Mr Sidney C. Stuart 24.0000\n", "375 Collyer, Mr Harvey 35.0000\n", "376 Collyer, Mrs Harvey (Charlotte Tate) 31.0000\n", "377 Collyer, Miss Marjorie 8.0000\n", "378 Cook, Mrs Selena Rogers 22.0000\n", "379 Corbett, Mrs Walter H. (Irene Colvin) 30.0000\n", "380 Corey, Mrs Percy C. (Mary Phyllis Elizabeth Miller) NA\n", "381 Cotterill, Mr Harry 20.0000\n", "382 Cunningham, Mr Alfred Fleming NA\n", "383 Davies, Mr Charles Henry 21.0000\n", "384 Davis, Mrs Agnes 49.0000\n", "385 Davis, Master John Morgan 8.0000\n", "386 Davis, Miss Mary 28.0000\n", "387 Deacon, Mr Percy 18.0000\n", "388 de Brito, Mr Jose Joaquim NA\n", "389 del Carlo, Mr Sebastiano 28.0000\n", "390 del Carlo, Mrs Sebastiano (Argenia Genovese) 22.0000\n", "391 Denbury, Mr Herbert 25.0000\n", "392 Dibden, Mr William 18.0000\n", "393 Doling, Mrs Ada 32.0000\n", "394 Doling, Miss Elsie 18.0000\n", "395 Downton (?Douton), Mr William James NA\n", "396 Drew, Mr James Vivian 42.0000\n", "397 Drew, Mrs James Vivian (Lulu Thorne Christian) 34.0000\n", "398 Drew, Master Marshall Brines 8.0000\n", "399 Duran y More, Miss Asuncion NA\n", "400 Duran y More, Miss Florentina NA\n", "401 Eitemiller, Mr George Floyd 23.0000\n", "402 Enander, Mr Ingvar 21.0000\n", "403 Fahlstrom, Mr Arne Jonas 19.0000\n", "404 Faunthorpe, Mr Harry NA\n", "405 Faunthorpe, Mrs Lizzie (see Wilkinson, E.) NA\n", "406 Fillbrook, Mr Charles NA\n", "407 Fox, Mr Stanley H. 38.0000\n", "408 Frost, Mr Anthony (Archie) W. NA\n", "409 Funk, Miss Annie C. 38.0000\n", "410 Fynney, Mr Joseph J. 35.0000\n", "411 Gale, Mr Harry 35.0000\n", "412 Gale, Mr Shadrach 38.0000\n", "413 Garside, Miss Ethel 24.0000\n", "414 Gaskell, Mr Alfred 16.0000\n", "415 Gavey, Mr Lawrence 26.0000\n", "416 Gilbert, Mr William 45.0000\n", "417 Giles, Mr Edgar 24.0000\n", "418 Giles, Mr Frederick 21.0000\n", "419 Giles, Mr Ralph 22.0000\n", "420 Gill, Mr John W. NA\n", "421 Gillespie, Mr William 34.0000\n", "422 Givard, Mr Hans Christensen 30.0000\n", "423 Greenberg, Mr Samuel 50.0000\n", "424 Hale, Mr Reginald 30.0000\n", "425 Hamalainen, Mrs William (Anna) 23.0000\n", "426 Hamalainen, Master Viljo 1.0000\n", "427 Harbeck, Mr William H. 44.0000\n", "428 Harper, Rev John 28.0000\n", "429 Harper, Miss Nina 6.0000\n", "430 Harris, Mr George 30.0000\n", "431 Harris, Mr Walter NA\n", "432 Hart, Mr Benjamin 43.0000\n", "433 Hart, Mrs Benjamin (Esther) 45.0000\n", "434 Hart, Miss Eva Miriam 7.0000\n", "435 Herman, Miss Alice 24.0000\n", "436 Herman, Miss Kate 24.0000\n", "437 Herman, Mr Samuel 49.0000\n", "438 Herman, Mrs Samuel (Jane Laver) 48.0000\n", "439 Hewlett, Mrs Mary D. NA\n", "440 Hickman, Mr Leonard Mark 34.0000\n", "441 Hickman, Mr Lewis 32.0000\n", "442 Hickman, Mr Stanley George 21.0000\n", "443 Hiltunen, Miss Marta 18.0000\n", "444 Hocking, Mrs Elizabeth 53.0000\n", "445 Hocking, Mr George 23.0000\n", "446 Hocking, Miss Ellen (Nellie) 21.0000\n", "447 Hocking, Mr Samuel James NA\n", "448 Hodges, Mr Henry Price 52.0000\n", "449 Hold, Mr Stephen 42.0000\n", "450 Hold, Mrs Stephen (Annie Margaret) 36.0000\n", "451 Hood, Mr Ambrose, Jr 21.0000\n", "452 Hosono, Mr Masafumi 41.0000\n", "453 Howard, Mr Benjamin NA\n", "454 Howard, Mrs Benjamin (Ellen Truelove) NA\n", "455 Hunt, Mr George Henry 33.0000\n", "456 Ilett, Miss Bertha 17.0000\n", "457 Jacobsohn Mr Sidney Samuel NA\n", "458 Jacobsohn, Mrs Sidney Samuel (Amy Frances Christy) NA\n", "459 Jarvis, Mr John Denzil NA\n", "460 Jefferys, Mr Clifford NA\n", "461 Jefferys, Mr Ernest NA\n", "462 Jenkin, Mr Stephen Curnow NA\n", "463 Jerwan, Mrs Amin S. (Marie Thuillard) 23.0000\n", "464 Kantor, Mr Sinai 34.0000\n", "465 Kantor, Mrs Sinai (Miriam Sternim) NA\n", "466 Karnes, Mrs J. Frank (Claire Bennett) 22.0000\n", "467 Keane, Mr Daniel NA\n", "468 Keane, Miss Nora A. NA\n", "469 Kelly, Mrs Florence (Fannie) 45.0000\n", "470 Kirkland, Rev Charles Leonard NA\n", "471 Knight, Mr Robert NA\n", "472 Kvillner, Mr Johan Henrik Johannesson 31.0000\n", "473 Lahtinen, Rev William 30.0000\n", "474 Lahtinen, Mrs William (Anna Sylvan) 26.0000\n", "475 Lamb, Mr John James NA\n", "476 Lemore, Mrs Amelia 34.0000\n", "477 LaRoche, Mr Joseph 26.0000\n", "478 LaRoche, Mrs Joseph (Juliet) 22.0000\n", "479 LaRoche, Miss Louise 1.0000\n", "480 LaRoche, Miss Simonne 3.0000\n", "481 Lehmann, Miss Bertha NA\n", "482 Leitch, Miss Jessie NA\n", "483 Levy, Mr Rene Jacques NA\n", "484 Leyson, Mr Robert William Norman 25.0000\n", "485 Lingan, Mr John NA\n", "486 Louch, Mr Charles Alexander 48.0000\n", "487 Louch, Mrs Charles Alexander (Alice Adelaide) NA\n", "488 Mack, Mrs Mary 57.0000\n", "489 Malachard, Mr Noel NA\n", "490 Mallet, Mr Albert NA\n", "491 Mallet, Mrs Albert (Antoinette) NA\n", "492 Mallet, Master Andre 2.0000\n", "493 Mangiavacchi, Mr Serafino Emilio NA\n", "494 Mantvila, Rev Joseph 27.0000\n", "495 Marshall, Mrs Kate Louise Phillips 19.0000\n", "496 Matthews, Mr William John 30.0000\n", "497 Maybery, Mr Frank H. 20.0000\n", "498 McCrae, Mr Arthur Gordon 45.0000\n", "499 McCrie, Mr James Matthew NA\n", "500 McKane, Mr Peter D. 46.0000\n", "501 Mellenger, Mrs Elizabeth Anne 41.0000\n", "502 Mellenger, Miss Madeleine Violet 13.0000\n", "503 Mellor, Mr William John 19.0000\n", "504 Meyer, Mr August 30.0000\n", "505 Milling, Mr Jacob Christian 48.0000\n", "506 Mitchell, Mr Henry Michael 71.0000\n", "507 Moraweck, Dr Ernest 54.0000\n", "508 Morley, Mr William NA\n", "509 Mudd, Mr Thomas C. NA\n", "510 Myles, Mr Thomas Francis 64.0000\n", "511 Nasser (Nasrallah), Mr Nicholas 32.0000\n", "512 Nasser (Nasrallah), Mrs Nicholas 18.0000\n", "513 Navratil, Master Edmond Roger 2.0000\n", "514 Navratil, Mr Michel 32.0000\n", "515 Navratil, Master Michel M. 3.0000\n", "516 Nesson, Mr Israel 26.0000\n", "517 Nicholls, Mr Joseph Charles 19.0000\n", "518 Norman, Mr Robert Douglas NA\n", "519 Nourney, Mr Alfred (aka Baron von Drachstedt) 20.0000\n", "520 Nye, Mrs Elizabeth Ramell 29.0000\n", "521 Otter, Mr Richard 39.0000\n", "522 Oxenham, Mr Percy Thomas 22.0000\n", "523 Padro y Manent, Mr Julian NA\n", "524 Pain, Dr Alfred 24.0000\n", "525 Pallas y Castello, Mr Emilio NA\n", "526 Parker, Mr Clifford R. 28.0000\n", "527 Parkes, Mr Francis (Frank) NA\n", "528 Parrish, Mrs Lutie Davis 50.0000\n", "529 Pengelly, Mr Frederick 20.0000\n", "530 Peruschitz, Rev. Joseph M. 40.0000\n", "531 Phillips, Miss Alice 42.0000\n", "532 Phillips, Mr Robert 21.0000\n", "533 Pinsky, Miss Rosa 32.0000\n", "534 Ponesell, Mr Martin 34.0000\n", "535 Portaluppi, Mr Emilio NA\n", "536 Pulbaum, Mr Frank NA\n", "537 Quick, Mrs Frederick C. (Jane Richards) 33.0000\n", "538 Quick, Miss Phyllis May 2.0000\n", "539 Quick, Miss Winifred Vera 8.0000\n", "540 Reeves, Mr David 36.0000\n", "541 Renouf, Mr Peter Henry 34.0000\n", "542 Renouf, Mrs Peter Henry (Lillian Jefferys) 30.0000\n", "543 Reynaldo, Mrs Encarnacion 28.0000\n", "544 Richard, Mr Emil 23.0000\n", "545 Richards, Master George Sidney 0.8333\n", "546 Richards, Mrs Sidney (Emily Hocking) 25.0000\n", "547 Richards, Master William Rowe 3.0000\n", "548 Ridsdale, Miss Lucy 50.0000\n", "549 Rogers, Mr Harry NA\n", "550 Rugg, Miss Emily 21.0000\n", "551 Sedgwick, Mr Charles Frederick Waddington NA\n", "552 Sharp, Mr Percival NA\n", "553 Shelley, Mrs William (Imanita) 25.0000\n", "554 Silven, Miss Lyyli 18.0000\n", "555 Sincock, Miss Maude 20.0000\n", "556 Siukonnen, Miss Anna 30.0000\n", "557 Sjostedt, Mr Ernst Adolf 59.0000\n", "558 Slayter, Miss Hilda Mary 30.0000\n", "559 Slemen, Mr Richard James 35.0000\n", "560 Smith (Schmidt), Mr Augustus 22.0000\n", "561 Smith, Miss Marion NA\n", "562 Sobey, Mr Hayden 25.0000\n", "563 Stanton, Mr Samuel Ward 41.0000\n", "564 Stokes, Mr Philip Joseph 25.0000\n", "565 Sweet, Mr George 14.0000\n", "566 Toomey, Miss Ellen 50.0000\n", "567 Troupiansky, Mr Moses Aaron 22.0000\n", "568 Trout, Mrs William H. (Jessie L.) NA\n", "569 Troutt, Miss Edwina Celia 27.0000\n", "570 Turpin, Mr William John 29.0000\n", "571 Turpin, Mrs William John (Dorothy Anne Wonnacott) 27.0000\n", "572 Veale, Mr James 30.0000\n", "573 Waelens, Mr Achille 22.0000\n", "574 Walcroft, Miss Nellie 35.0000\n", "575 Ware, Mr John James 30.0000\n", "576 Ware, Mrs John James (Florence Louise Long) 28.0000\n", "577 Ware, Mr William J. 23.0000\n", "578 Watson, Mr Ennis Hastings NA\n", "579 Watt, Miss Bertha 12.0000\n", "580 Watt, Mrs James (Bessie Inglis Milne) 40.0000\n", "581 Webber, Miss Susan 36.0000\n", "582 Weisz, Mr Leopold 28.0000\n", "583 Weisz, Mrs Leopold (Mathilde) 32.0000\n", "584 Wells, Mrs Arthur H. (Addie Trevaskis) 29.0000\n", "585 Wells, Miss Joan 4.0000\n", "586 Wells, Master Ralph Lester 2.0000\n", "587 West, Miss Barbara J. NA\n", "588 West, Miss Constance Mirium NA\n", "589 West, Mr Edwy Arthur 36.0000\n", "590 West, Mrs Edwy Arthur (Ada Mary) 33.0000\n", "591 Wheadon, Mr Edward NA\n", "592 Wheeler, Mr Edwin NA\n", "593 Wheeler, Mr Frederick NA\n", "594 Wilhelms, Mr Charles 32.0000\n", "595 Wilkinson, Mrs Elizabeth Anne NA\n", "596 Williams, Mr Charles Eugene NA\n", "597 Wright, Miss Marion 26.0000\n", "598 Yrois, Miss Henriette NA\n", "599 Aldworth, Mr Charles Augustus 30.0000\n", "600 Brown, Miss Mildred 24.0000\n", "601 Pernot, Mr Rene NA\n", "602 Swane, Mr George 18.0000\n", "603 Abbing, Mr Anthony 42.0000\n", "604 Abbott, Master Eugene Joseph 13.0000\n", "605 Abbott, Mr Rossmore Edward 16.0000\n", "606 Abbott, Mrs Stanton (Rosa) 35.0000\n", "607 Abelseth, Miss Anna Karen 16.0000\n", "608 Abelseth, Mr Olaus 25.0000\n", "609 Abraham, Mrs Joseph (Sophie Easu) 18.0000\n", "610 Abrahamsson, Mr August 20.0000\n", "611 Adahl, Mr Mauritz Nils Martin 30.0000\n", "612 Adams, Mr John 26.0000\n", "613 Ahlin, Mrs Johanna Persdotter 40.0000\n", "614 Ahmed, Mr Ali 24.0000\n", "615 Aijo-Nirva, Mr Isak 41.0000\n", "616 Aks, Mrs Sam (Leah Rosen) 18.0000\n", "617 Aks, Master Philip 0.8333\n", "618 Alexander, Mr William 23.0000\n", "619 Alhomaki, Mr Ilmari Rudolf 20.0000\n", "620 Ali, Mr William 25.0000\n", "621 Allen, Mr William Henry 35.0000\n", "622 Allum, Mr Owen George 17.0000\n", "623 Andersen, Mr Albert Karvin 32.0000\n", "624 Andersen, Mr Thor Olsvigen 20.0000\n", "625 Andersson, Mr Anders Johan 39.0000\n", "626 Andersson, Mrs Anders Johan (Alfrida K. Brogren) 39.0000\n", "627 Andersson, Miss Ebba Iris 6.0000\n", "628 Andersson, Miss Ellis Anna Maria 2.0000\n", "629 Andersson, Miss Erna 17.0000\n", "630 Andersson, Miss Ida Augusta Margareta 38.0000\n", "631 Andersson, Miss Ingeborg Constancia 9.0000\n", "632 Andersson, Mr Johan Samuel 26.0000\n", "633 Andersson, Miss Sigrid Elizabeth 11.0000\n", "634 Andersson, Master Sigvard Harald Elias 4.0000\n", "635 Andreasson, Mr Paul Edvin 20.0000\n", "636 Angheloff, Mr Minko 26.0000\n", "637 Arnold, Mr Josef 25.0000\n", "638 Arnold, Mrs Josef (Josephine Frank) 18.0000\n", "639 Aronsson, Mr Ernst Axel Algot 24.0000\n", "640 Asim, Mr Adola 35.0000\n", "641 Asplund, Mr Carl Oscar Vilhelm Gustafsson 40.0000\n", "642 Asplund, Mrs Carl Oscar (Selma Augusta Johansson) 38.0000\n", "643 Asplund, Master Carl Edgar 5.0000\n", "644 Asplund, Master Clarence Gustaf Hugo 9.0000\n", "645 Aspland, Master Edvin Rojj Felix 3.0000\n", "646 Asplund, Master Filip Oscar 13.0000\n", "647 Asplund, Mr John Charles 23.0000\n", "648 Asplund, Miss Lillian Gertrud 5.0000\n", "649 Assaf, Mr Gerios NA\n", "650 Assaf, Mrs Mariana 45.0000\n", "651 Assam, Mr Ali 23.0000\n", "652 Attalah, Miss Malaka 17.0000\n", "653 Attala (Kalil), Mr Solomon 27.0000\n", "654 Augustsson, Mr Albert 23.0000\n", "655 Baccos, Mr Rafoul 20.0000\n", "656 Backstrom, Mr Karl Alfred 32.0000\n", "657 Backstrom, Mrs Karl Alfred (Maria Mathilda Gustafsson) 33.0000\n", "658 Baclini, Miss Eugenie 3.0000\n", "659 Baclini, Miss Helene NA\n", "660 Baclini, Miss Maria NA\n", "661 Baclini, Mrs Solomon (Latifa) NA\n", "662 Badman, Miss Emily Louisa 18.0000\n", "663 Badt, Mr Mohamed 40.0000\n", "664 Balkic, Mr Cerin 26.0000\n", "665 Banoura, Miss Ayout 15.0000\n", "666 Barbara, Mrs Catherine 45.0000\n", "667 Barbara, Miss Saude 18.0000\n", "668 Barry, Miss Julia 27.0000\n", "669 Barton Mr David 22.0000\n", "670 Beavan, Mr William Thomas 19.0000\n", "671 Bengtsson, Mr John Viktor 26.0000\n", "672 Berglund. Mr Karl Ivar Sven 22.0000\n", "673 Betros, Mr Tannous 20.0000\n", "674 Bing, Mr Lee 32.0000\n", "675 Birkeland, Mr Hans 21.0000\n", "676 Bjorklund, Ernst Herbert 18.0000\n", "677 Bostandyeff, Mr Guentcho 26.0000\n", "678 Boulos, Master Akar 6.0000\n", "679 Boulos, Mr Hanna NA\n", "680 Boulos, Mrs Joseph (Sultana) NA\n", "681 Boulos, Miss Laura 9.0000\n", "682 Bourke, Mr John 40.0000\n", "683 Bourke, Mrs John (Catherine) 32.0000\n", "684 Bourke, Miss Mary NA\n", "685 Bowen, Mr David 26.0000\n", "686 Bradley, Miss Bridget Delia 18.0000\n", "687 Braf, Miss Elin Ester Maria 20.0000\n", "688 Brahim, Mr Youssef NA\n", "689 Braund, Mr Lewis Richard 29.0000\n", "690 Braund, Mr Owen Harris 22.0000\n", "691 Brobek, Mr Karl Rudolf 22.0000\n", "692 Brocklebank, Mr William Alfred 35.0000\n", "693 Buckley, Mr Daniel 21.0000\n", "694 Buckley, Miss Katherine 20.0000\n", "695 Burke, Mr Jeremiah 19.0000\n", "696 Burns, Miss Mary Delia 18.0000\n", "697 Cacic, Mr Grego 18.0000\n", "698 Cacic, Mr Luka 38.0000\n", "699 Cacic, Mr Manda NA\n", "700 Cacic, Mr Maria 30.0000\n", "701 Calic, Mr Peter 17.0000\n", "702 Canavan, Miss Mary 21.0000\n", "703 Canavan, Mr Patrick 21.0000\n", "704 Cann, Mr Ernest 21.0000\n", "705 Caram (Kareem), Mr Joseph NA\n", "706 Caram (Kareem), Mrs Joseph (Maria Elias) NA\n", "707 Carlsson, Mr Carl Robert 24.0000\n", "708 Carlsson, Mr Frans Olof 33.0000\n", "709 Carlsson, Mr Julius 33.0000\n", "710 Carlsson, Mr August Sigfrid 28.0000\n", "711 Carr, Miss Helen 16.0000\n", "712 Carr, Miss Jeannie 37.0000\n", "713 Carver, Mr Alfred John 28.0000\n", "714 Cassem, Mr Nassef Belmenly NA\n", "715 Celotti, Mr Francesco 24.0000\n", "716 Chartens, Mr David 21.0000\n", "717 Chebab, Mr Emir Farres NA\n", "718 Chip, Mr Chang 32.0000\n", "719 Christmann, Mr Emil 29.0000\n", "720 Chronopoulos, Mr Apostolos 26.0000\n", "721 Chronopoulos, Mr Demetrios 18.0000\n", "722 Coelho, Mr Domingos Fernandes 20.0000\n", "723 Cohen, Mr Gurshon (Gus) 19.0000\n", "724 Colbert, Mr Patrick 24.0000\n", "725 Coleff, Mr Fotio 24.0000\n", "726 Coleff, Mr Peyo 36.0000\n", "727 Conlin, Mr Thomas Henry 31.0000\n", "728 Connaghton, Mr Michael 31.0000\n", "729 Connolly, Miss Kate 30.0000\n", "730 Connolly, Miss Kate 22.0000\n", "731 Connors, Mr Patrick NA\n", "732 Cook, Mr Jacob 43.0000\n", "733 Cor, Mr Bartol 35.0000\n", "734 Cor, Mr Ivan 27.0000\n", "735 Cor, Mr Ludovik 19.0000\n", "736 Corn, Mr Harry 30.0000\n", "737 Coutts, Mrs William (Minnie) 36.0000\n", "738 Coutts, Master Neville 3.0000\n", "739 Coutts, Master William Leslie 9.0000\n", "740 Coxon, Mr Daniel 59.0000\n", "741 Crease, Mr Ernest James 19.0000\n", "742 Cribb, Mr John Hatfield 44.0000\n", "743 Cribb, Miss Laura Alice 17.0000\n", "744 Daher, Mr Tannous NA\n", "745 Dahl, Mr Charles Edward 45.0000\n", "746 Dahlberg, Miss Gerda Ulrika 22.0000\n", "747 Dakic, Mr Branko 19.0000\n", "748 Daly, Mr Eugene 29.0000\n", "749 Daly, Miss Marcella 30.0000\n", "750 Danbom, Mr Ernst Gilbert 34.0000\n", "751 Danbom, Mrs Ernst Gilbert (Anna Sigrid Maria Brogren) 28.0000\n", "752 Danbom, Master Gilbert Sigvard Emanuel 0.3333\n", "753 Danoff, Mr Yoto 27.0000\n", "754 Dantchoff, Mr Khristo 25.0000\n", "755 Davies, Mr Alfred 24.0000\n", "756 Davies, Mr Evan 22.0000\n", "757 Davies, Mr John 21.0000\n", "758 Davies, Mr Joseph 17.0000\n", "759 Davison, Mr Thomas Henry NA\n", "760 Davison, Mrs Thomas Henry (Mary Finck) NA\n", "761 Dean, Mr Bertram 26.0000\n", "762 Dean, Mrs Bertram (Eva) 33.0000\n", "763 Dean, Master Bertram Vere 1.0000\n", "764 Dean, Miss Elizabeth Gladys (Millvena) 0.1667\n", "765 Delalic, Mr Regyo 25.0000\n", "766 De Messemaeker, Mr William Joseph 36.0000\n", "767 De Messemaeker, Mrs William Joseph (Anna) 36.0000\n", "768 De Mulder, Mr Theo 30.0000\n", "769 Denkoff, Mr Mito NA\n", "770 Dennis, Mr Samuel 23.0000\n", "771 Dennis, Mr William 26.0000\n", "772 Devaney, Miss Margaret 19.0000\n", "773 Dewan, Mr Frank 65.0000\n", "774 Dibo, Mr Elias NA\n", "775 Dimic, Mr Jovan 42.0000\n", "776 Dintcheff, Mr Valtcho 43.0000\n", "777 Dooley, Mr Patrick 32.0000\n", "778 Dorkings, Mr Edward Arthur 19.0000\n", "779 Dowdell, Miss Elizabeth 30.0000\n", "780 Doyle, Miss Elizabeth 24.0000\n", "781 Drapkin, Miss Jennie 23.0000\n", "782 Drazonovic, Mr Josef NA\n", "783 Driscoll, Miss Bridget 24.0000\n", "784 Duquemin, Mr Joseph 24.0000\n", "785 Dyker, Mr Adolf Fredrik 23.0000\n", "786 Dyker, Mrs Adolf Fredrik (Anna Elizabeth Judith Andersson) 22.0000\n", "787 Econovic, Mr Joso NA\n", "788 Edvardsson, Mr Gustaf Hjalmar 18.0000\n", "789 Eklund, Mr Hans Linus 16.0000\n", "790 Ekstrom, Mr Johan 45.0000\n", "791 Elias, Mr Elias NA\n", "792 Elias, Mr John NA\n", "793 Elias, Mr Joseph NA\n", "794 Elsbury, Mr James 47.0000\n", "795 Emanuel, Miss Virginia Ethel 5.0000\n", "796 Emmeth, Mr Thomas NA\n", "797 Everett, Thomas James NA\n", "798 Farrell, Mr James NA\n", "799 Finoli, Mr Luigi NA\n", "800 Fischer, Mr Eberhard Telander NA\n", "801 Flynn, Mr James NA\n", "802 Flynn, Mr John NA\n", "803 Foley, Mr Joseph NA\n", "804 Foley, Mr William NA\n", "805 Foo, Mr Choong NA\n", "806 Ford, Mr Arthur NA\n", "807 Ford, Miss Doolina Margaret 21.0000\n", "808 Ford, Mr Edward Watson 18.0000\n", "809 Ford, Miss Maggie 9.0000\n", "810 Ford, Mrs Edward (Margaret Ann) 48.0000\n", "811 Ford, Mr Neil Watson 16.0000\n", "812 Fox, Mr Patrick NA\n", "813 Franklin, Mr Charles NA\n", "814 Gallagher, Mr Martin 25.0000\n", "815 Garfirth, Mr John NA\n", "816 Georges, Mrs Shahini Weappi NA\n", "817 Gilinski, Mr Leslie 22.0000\n", "818 Gilnagh, Miss Katie 16.0000\n", "819 Glynn, Miss Mary Agatha NA\n", "820 Goldsmith, Mr Frank John 33.0000\n", "821 Goldsmith, Mrs Frank John (Emily A. Brown) NA\n", "822 Goldsmith, Master Frank John William 9.0000\n", "823 Goldsmith, Mr Nathan 41.0000\n", "824 Goncalves, Mr Manuel Estanslas 38.0000\n", "825 Goodwin, Mr Frederick 40.0000\n", "826 Goodwin, Mrs Frederick (Augusta) 43.0000\n", "827 Goodwin, Mr Charles E. 14.0000\n", "828 Goodwin, Miss Lillian A. 16.0000\n", "829 Goodwin, Master Harold V. 9.0000\n", "830 Goodwin, Miss Jessie A. 10.0000\n", "831 Goodwin, Master Sidney L. 6.0000\n", "832 Goodwin, Master William F. 11.0000\n", "833 Green, Mr George 40.0000\n", "834 Gronnestad, Mr Daniel Danielsen 32.0000\n", "835 Guest, Mr Robert NA\n", "836 Gustafsson, Mr Alfred Ossian 20.0000\n", "837 Gustafsson, Mr Anders Vilhelm 37.0000\n", "838 Gustafsson, Mr Johan Birger 28.0000\n", "839 Gustafsson, Mr Karl Gideon 19.0000\n", "840 Haas, Miss Aloisia NA\n", "841 Hagardon, Miss Kate NA\n", "842 Hagland, Mr Ingvald Olsen NA\n", "843 Hagland, Mr Konrad Mathias Reiersen NA\n", "844 Hakkarainen, Mr Pekko Pietari NA\n", "845 Hakkarainen, Mrs Pekko Pietari NA\n", "846 Hampe, Mr Leon NA\n", "847 Hansen, Mr Claus Peter NA\n", "848 Hansen, Mrs Claus Peter NA\n", "849 Hansen, Mr Henrik Juul NA\n", "850 Hansen, Mr Henry Damsgaard NA\n", "851 Harknett, Miss Alice NA\n", "852 Harmer, Mr Abraham NA\n", "853 Hart, Mr Henry NA\n", "854 Hassan, Mr M. Houssein NA\n", "855 Healy, Miss Nora NA\n", "856 Hedman, Mr Oscar NA\n", "857 Hee, Mr Ling NA\n", "858 Hegarty, Miss Nora NA\n", "859 Heikkinen, Miss Laina NA\n", "860 Heininen, Miss Wendla Maria NA\n", "861 Hellstrom, Hilda Maria NA\n", "862 Hemming, Miss Nora NA\n", "863 Hendekovic, Mr Ignaz NA\n", "864 Henery, Delia NA\n", "865 Henriksson, Jenny Lovisa NA\n", "866 Hirvonen, Mrs Alexander NA\n", "867 Hirvonen, Miss Hildur E. NA\n", "868 Holm, Mr John Frederik Alexander NA\n", "869 Holthen, Mr Johan Martin NA\n", "870 Honkanen, Miss Eluna NA\n", "871 Horgan, Mr John NA\n", "872 Howard, Miss May NA\n", "873 Humblin, Mr Adolf Mathias Nicolai Olsen NA\n", "874 Hyman, Mr Abraham NA\n", "875 Ilieff, Mr Ylio NA\n", "876 Ilmakangas, Miss Ida Livija NA\n", "877 Ilmakangas, Miss Pieta Sofia NA\n", "878 Ivanoff, Mr Konio NA\n", "879 Jansen, Mr Carl Olof NA\n", "880 Jardin, Mr Jose Netto NA\n", "881 Jensen, Miss Carla Christine NA\n", "882 Jensen, Mr Hans Peder NA\n", "883 Jensen, Mr Niels Peder NA\n", "884 Jensen, Mr Svend Lauritz NA\n", "885 Jermyn, Miss Annie NA\n", "886 Johannesen-Bratthammer, Mr Bernt NA\n", "887 Johanson, Mr Jakob Alfred NA\n", "888 Johansson, Mr Erik NA\n", "889 Johansson, Mr Gustaff Joel NA\n", "890 Johansson, Mr Karl Johan NA\n", "891 Johansson, Mr Nils NA\n", "892 Johansson, Oscar L. NA\n", "893 Johnson, Mr Alfred NA\n", "894 Johnson, Miss Eleanor Ileen NA\n", "895 Johnson, Mr Malkolm Joackim NA\n", "896 Johnson, Master Harold Theodor NA\n", "897 Johnson, Mrs Oscar W. NA\n", "898 Johnson, Mr William Cahoone Jr. NA\n", "899 Johnston, Mr Andrew G. NA\n", "900 Johnston, Mrs Andrew G. NA\n", "901 Johnston, Miss Catherine H. NA\n", "902 Johnston, Master William A. NA\n", "903 Jonkoff, Mr Lazor NA\n", "904 Jonsson, Mr Carl NA\n", "905 Jonsson, Nils Hilding NA\n", "906 Jussila, Miss Aina Maria NA\n", "907 Jussila, Mr Erik NA\n", "908 Jussila, Miss Katriina NA\n", "909 Kallio, Mr Nikolai Erland NA\n", "910 Kalvig, Mr Johannes K. Halverson NA\n", "911 Karajic, Mr Milan NA\n", "912 Karlsson, Mr Einar Gervasius NA\n", "913 Karlsson, Mr Julius Konrad Eugen NA\n", "914 Karlsson, Mr Nils August NA\n", "915 Karun, Miss Anna Mary NA\n", "916 Karun, Mr Franz NA\n", "917 Kassem, Mr Fared NA\n", "918 Keane, Mr Andrew NA\n", "919 Keefe, Mr Arthur NA\n", "920 Kekic, Mr Tido NA\n", "921 Kelly, Miss Anna Kate NA\n", "922 Kelly, Mr James NA\n", "923 Kelly, Mr James NA\n", "924 Kelly, Miss Mary NA\n", "925 Kennedy, Mr John NA\n", "926 Khalil, Mr Betros NA\n", "927 Khalil, Mrs Betros NA\n", "928 Khalil, Mr Saad NA\n", "929 Kiernan, Mr John NA\n", "930 Kiernan, Mr Philip NA\n", "931 Kilgannon, Mr Thomas NA\n", "932 Kink, Mr Anton NA\n", "933 Kink, Mrs Anton (Louise Heilmann) NA\n", "934 Kink, Miss Louise Gretchen NA\n", "935 Kink, Miss Maria NA\n", "936 Kink, Mr Vincenz NA\n", "937 Klasen, Miss Gertrud Emilia NA\n", "938 Klasen, Mrs Hulda Kristina NA\n", "939 Klasen, Mr Klas Albin NA\n", "940 Kraeff, Mr Theodor NA\n", "941 Krekorian, Mr Neshan NA\n", "942 Lahowd, Mr Sarkis NA\n", "943 Laitinen, Miss Kritina Sofia NA\n", "944 Laleff, Mr Kristo NA\n", "945 Lam, Mr Ali NA\n", "946 Lam, Mr Len NA\n", "947 Landegren, Miss Aurora Adelia NA\n", "948 Lane, Mr Patrick NA\n", "949 Lang, Mr Fang NA\n", "950 Larsson, Mr August Viktor NA\n", "951 Larsson, Mr Bengt Edvin NA\n", "952 Larsson-Rondberg, Mr Edvard NA\n", "953 Leeni, Mr Fahim NA\n", "954 Lefebre, Mrs Frank NA\n", "955 Lefebre, Master Henry NA\n", "956 Lefebre, Miss Ida NA\n", "957 Lefebre, Miss Jeannie NA\n", "958 Lefebre, Miss Mathilde NA\n", "959 Leinonen, Mr Antti Gustaf NA\n", "960 Lemberopolous, Mr Peter L. NA\n", "961 Lemom, Mr Denis NA\n", "962 Lemon, Miss Mary NA\n", "963 Leonard, Mr Lionel NA\n", "964 Lester, Mr James NA\n", "965 Lindahl, Miss Agda V. NA\n", "966 Lindblom, Miss Augusta Charlotta NA\n", "967 Lindell, Mr Edvard Bengtsson NA\n", "968 Lindell, Mrs Edvard Bengtsson NA\n", "969 Lindqvist, Eino William NA\n", "970 Linehan, Mr Michael NA\n", "971 Ling, Mr Lee NA\n", "972 Lithman, Mr Simon NA\n", "973 Lobb, Mr William Arthur NA\n", "974 Lobb, Mrs William Arthur NA\n", "975 Lockyer, Mr Edward NA\n", "976 Lovell, Mr John NA\n", "977 Lulich, Mr Nicola NA\n", "978 Lundahl, Mr Johan NA\n", "979 Lundin, Miss Olga Elida NA\n", "980 Lundstrom, Mr Thure Edvin NA\n", "981 Lyntakoff, Mr Stanko NA\n", "982 MacKay, Mr George William NA\n", "983 Madigan, Miss Margaret NA\n", "984 Madsen, Mr Frithiof NA\n", "985 Maenpaa, Mr Matti Alexanteri NA\n", "986 Mahon, Miss Delia NA\n", "987 Maisner, Mr Simon NA\n", "988 Makinen, Mr Kalle Edvard NA\n", "989 Mamee, Mr Hanna NA\n", "990 Mangan, Miss Mary NA\n", "991 Mannion, Miss Margareth NA\n", "992 Mansour, Mr Hanna NA\n", "993 Mardirosian, Mr Sarkis NA\n", "994 Marinko, Mr Dmitri NA\n", "995 Markim, Mr Johann NA\n", "996 Markoff, Mr Marin NA\n", "997 Masselmany, Mrs Fatima NA\n", "998 Matinoff, Mr Nicola NA\n", "999 McCarthy, Miss Katie NA\n", "1000 McCormack, Mr Thomas J. NA\n", "1001 McCoy, Miss Agnes NA\n", "1002 McCoy, Miss Alice NA\n", "1003 McCoy, Mr Bernard NA\n", "1004 McDermott, Miss Delia NA\n", "1005 McElroy, Mr Michael NA\n", "1006 McGovern, Mrs Hugh NA\n", "1007 McGowan, Miss Anna NA\n", "1008 McGowan, Miss Katherine NA\n", "1009 McMahon, Mr Martin NA\n", "1010 McNamee, Mr Neal NA\n", "1011 McNamee, Mrs Neal NA\n", "1012 Meanwell, Miss Marion Ogden NA\n", "1013 Mechen, Mr John NA\n", "1014 Meek, Mrs Thomas NA\n", "1015 Melkebuk, Mrs Philemon NA\n", "1016 Meo, Mr Alfonso NA\n", "1017 Midtsjo, Mr Karl Albert NA\n", "1018 Mihoff, Mr Stoytcho NA\n", "1019 Miles, Mr Frank NA\n", "1020 Mineff, Mr Ivan NA\n", "1021 Minkoff, Mr Lazar NA\n", "1022 Mirko, Mr Dika NA\n", "1023 Mitkoff, Mr Mito NA\n", "1024 Mocklare, Miss Helen Mary NA\n", "1025 Moen, Mr Sigurd H. NA\n", "1026 Moor, Mrs Beila NA\n", "1027 Moor, Master Meier NA\n", "1028 Moore, Mr Leonard Charles NA\n", "1029 Moran, Miss Bertha NA\n", "1030 Moran, Mr Daniel J. NA\n", "1031 Moran, Mr James NA\n", "1032 Morley, Mr Henry Samuel NA\n", "1033 Morrow, Mr Thomas Rowan NA\n", "1034 Moubarek (Borak), Mr Hanna (John) NA\n", "1035 Moubarek, Mrs George NA\n", "1036 Moubarek, Master George NA\n", "1037 Moubarek, Master William George NA\n", "1038 Moss, Albert Johan NA\n", "1039 Moussa, Mrs Mantoura Baloics NA\n", "1040 Moutal, Mr Rahamin NA\n", "1041 Mullins, Miss Katie NA\n", "1042 Mulvihill, Miss Bertha E. NA\n", "1043 Murdlin, Mr Joseph NA\n", "1044 Murphy, Miss Katherine NA\n", "1045 Murphy, Miss Margaret NA\n", "1046 Murphy, Miss Nora NA\n", "1047 Myhrman, Mr Pehr Fabian Oliver Malkolm NA\n", "1048 Nackid, Miss Maria NA\n", "1049 Nackid, Mr Said NA\n", "1050 Nackid, Mrs Said NA\n", "1051 Nahill, Mr Toufik NA\n", "1052 Naidenoff, Mr Penko NA\n", "1053 Nancarrow, W. H. NA\n", "1054 Niklasen, Sander NA\n", "1055 Nosworthy, Richard C. NA\n", "1056 Najib, Miss Adele Kiamie NA\n", "1057 Nancarrow, Mr William Henry NA\n", "1058 Nankoff, Mr Minko NA\n", "1059 Nasr, Mr Mustafa NA\n", "1060 Nassr, Mr Saade Jean NA\n", "1061 Naughton, Miss Hannah NA\n", "1062 Nemaugh, Mr Robert NA\n", "1063 Nenkoff, Mr Christo NA\n", "1064 Nicola-Yarred, Miss Jamila NA\n", "1065 Nicola-Yarred, Master Elias NA\n", "1066 Nieminen, Miss Manta Josefina NA\n", "1067 Niklasson, Mr Samuel NA\n", "1068 Nilsson, Mr August Ferdinand NA\n", "1069 Nilsson, Miss Berta Olivia NA\n", "1070 Nilsson, Miss Helmina Josefina NA\n", "1071 Niskanen, Mr Johan NA\n", "1072 Nosworthy, Mr Richard Cater NA\n", "1073 Novel, Mansouer NA\n", "1074 Nysten, Miss Anna NA\n", "1075 Nysveen, Mr Johan H. NA\n", "1076 O'Brien, Mr Denis NA\n", "1077 O'Brien, Mr Thomas NA\n", "1078 O'Brien, Mrs Thomas NA\n", "1079 O'Connell, Mr Patrick D. NA\n", "1080 O'Connor, Mr Maurice NA\n", "1081 O'Connor, Mr Patrick NA\n", "1082 Odahl, Mr Nils Martin NA\n", "1083 O'Dwyer, Miss Nellie NA\n", "1084 Ohman, Miss Velin NA\n", "1085 O'Keefe, Mr Patrick NA\n", "1086 OLeary, Miss Norah NA\n", "1087 Olsen, Master Arthur NA\n", "1088 Olsen, Mr Charlie (Carl) NA\n", "1089 Olsen, Mr Henry Margido NA\n", "1090 Olsen, Mr Ole M. NA\n", "1091 Olsson, Miss Elida NA\n", "1092 Olsson, Mr Nils Johan NA\n", "1093 Olsson, Mr Oscar Johansson NA\n", "1094 O'Neill, Miss Bridget NA\n", "1095 Oreskovic, Mr Jeko NA\n", "1096 Oreskovic, Mr Luka NA\n", "1097 Oreskovic, Mr Maria NA\n", "1098 Osen, Mr Olof Elon NA\n", "1099 Osman, Miss Maria NA\n", "1100 O'Sullivan, Miss Bridget NA\n", "1101 Panula, Mr Ernesti Arvid NA\n", "1102 Panula, Mr Jaako Arnold NA\n", "1103 Panula, Master Juha Niilo NA\n", "1104 Panula, Mrs John NA\n", "1105 Panula, Master Urho Abraham NA\n", "1106 Panula, Master William NA\n", "1107 Pasic, Mr Jakob NA\n", "1108 Paulner, Mr Uscher NA\n", "1109 Paulsson, Master Gosta Leonard NA\n", "1110 Paulsson, Mrs Nils NA\n", "1111 Paulsson, Master Paul Folke NA\n", "1112 Paulsson, Miss Stina Viola NA\n", "1113 Paulsson, Miss Torborg Danira NA\n", "1114 Pavlovic, Mr Stefo NA\n", "1115 Peacock, Master Alfred Edward NA\n", "1116 Peacock, Mrs Benjamin NA\n", "1117 Peacock, Miss Treasteall NA\n", "1118 Pearce, Mr Ernest NA\n", "1119 Pecruic, Mr Mate NA\n", "1120 Pecruic, Mr Tome NA\n", "1121 Pedersen, Mr Olaf NA\n", "1122 Peduzzi, Mr Joseph NA\n", "1123 Pekoniemi, Mr Edvard NA\n", "1124 Peltomaki, Nikolai Johannes NA\n", "1125 Perkin, Mr John Henry NA\n", "1126 Persson, Mr Ernst Ulrik NA\n", "1127 Peter (Joseph), Miss Mary NA\n", "1128 Peter (Joseph), Mrs Catherine NA\n", "1129 Peter (Joseph), Master Michael J. NA\n", "1130 Peters, Miss Katie NA\n", "1131 Petersen, Mr Marius NA\n", "1132 Petranec, Miss Matilda NA\n", "1133 Petroff, Mr Nedeca NA\n", "1134 Petroff, Mr Pentcho NA\n", "1135 Pettersson, Miss Ellen Natalia NA\n", "1136 Peterson, Mr Johan Emil NA\n", "1137 Pickard (Trembisky), Mr Berk NA\n", "1138 Plotcharsky, Mr Vasil NA\n", "1139 Potchett, Mr George NA\n", "1140 Radeff, Mr Alexander NA\n", "1141 Raibid, Mr Razi NA\n", "1142 Reed, Mr James George NA\n", "1143 Reynolds, Mr Harold NA\n", "1144 Rice, Master Albert NA\n", "1145 Rice, Master Arthur NA\n", "1146 Rice, Master George NA\n", "1147 Rice, Master Eric NA\n", "1148 Rice, Master Eugene NA\n", "1149 Rice, Mrs William NA\n", "1150 Riihiivouri, Miss Sanni NA\n", "1151 Rintamaki, Mr Matti NA\n", "1152 Riordan, Miss Hannah NA\n", "1153 Risien, Mr Samuel NA\n", "1154 Risien, Mrs Samuel NA\n", "1155 Robins, Mr Alexander A. NA\n", "1156 Robins, Mrs Alexander A. NA\n", "1157 Rommetvedt, Mr Karl Kristian Knut NA\n", "1158 Rogers, Mr William John NA\n", "1159 Rosblom, Mrs Viktor NA\n", "1160 Rosblom, Miss Salli Helena NA\n", "1161 Rosblom, Mr Viktor Rickard NA\n", "1162 Roth, Miss Sarah NA\n", "1163 Rouse, Mr Richard Henry NA\n", "1164 Rush, Mr Alfred George John NA\n", "1165 Ryan, Mr Edward Ryan NA\n", "1166 Ryan, Mr Patrick NA\n", "1167 Saad, Mr Amin NA\n", "1168 Saad, Khalil NA\n", "1169 Sadlier, Mr Matthew NA\n", "1170 Sadowitz, Mr Harry NA\n", "1171 Sage, Miss Ada NA\n", "1172 Sage, Miss Constance NA\n", "1173 Sage, Miss Dorothy NA\n", "1174 Sage, Mr Douglas NA\n", "1175 Sage, Mr Frederick NA\n", "1176 Sage, Mr George NA\n", "1177 Sage, Mr John NA\n", "1178 Sage, Mrs John NA\n", "1179 Sage, Miss Stella NA\n", "1180 Sage, Thomas (child) NA\n", "1181 Sage, Master William NA\n", "1182 Salander, Mr Karl Johan NA\n", "1183 Salkjelsvik, Miss Anna NA\n", "1184 Salonen, Mr Johan Werner NA\n", "1185 Samaan, Mr Elias NA\n", "1186 Samaan, Mr Hanna NA\n", "1187 Samaan, Mr Youssef NA\n", "1188 Sandstrom, Miss Hjalmar NA\n", "1189 Sandstrom, Miss Beatrice Irene NA\n", "1190 Sandstrom, Miss Marguerite Rut NA\n", "1191 Sather, Simon Sivertsen NA\n", "1192 Saundercock, William Henry NA\n", "1193 Sawyer, Mr Frederick NA\n", "1194 Scanlan, Mr James NA\n", "1195 Sdycoff, Mr Todor NA\n", "1196 Seman Master Betros NA\n", "1197 Serota, Mr Maurice NA\n", "1198 Shaughnesay, Mr Patrick NA\n", "1199 Shedid (Sitik), Mr Daher (Docart) NA\n", "1200 Sheerlinck, Mr Jean NA\n", "1201 Shellard, Mr Frederick B. NA\n", "1202 Shine, Miss Ellen NA\n", "1203 Shorney, Mr Charles NA\n", "1204 Simmons, Mr John NA\n", "1205 Sirayanian, Mr Arsun NA\n", "1206 Sivic, Mr Husen NA\n", "1207 Sivola, Mr Antti NA\n", "1208 Sjoblom, Miss Anna Sofia NA\n", "1209 Sholt, Mr Peter Andreas Lauritz Andersen NA\n", "1210 Skinner, Mr Henry John NA\n", "1211 Skoog, Master Harald NA\n", "1212 Skoog, Master Karl NA\n", "1213 Skoog, Miss Mabel NA\n", "1214 Skoog, Miss Margit NA\n", "1215 Skoog, Mr William NA\n", "1216 Skoog, Mrs William NA\n", "1217 Slabenoff, Mr Petco NA\n", "1218 Slocovski, Mr Selman NA\n", "1219 Smiljanovic, Mr Mile NA\n", "1220 Smyth, Miss Julia NA\n", "1221 Solvang, Mrs Lena Jacobsen NA\n", "1222 Somerton, Mr Francis William NA\n", "1223 Sop, Mr Jules NA\n", "1224 Spector, Mr Woolf NA\n", "1225 Staneff, Mr Ivan NA\n", "1226 Stankovic, Mr Jovan NA\n", "1227 Stanley, Miss Amy Zilla Elsie NA\n", "1228 Stanley, Mr Edward Roland NA\n", "1229 Storey, Mr Thomas NA\n", "1230 Stoyehoff, Mr Ilia NA\n", "1231 Strandberg, Miss Ida Sofia NA\n", "1232 Stranden, Mr Juho NA\n", "1233 Strilic, Mr Ivan NA\n", "1234 Strom, Mrs Wilhelm NA\n", "1235 Strom, Miss Telma (Selma) Matilda NA\n", "1236 Sunderland, Mr Victor Francis NA\n", "1237 Sundman, Mr Johan Julian NA\n", "1238 Sutehall, Mr Henry, Jr NA\n", "1239 Svensson, Mr Johan NA\n", "1240 Svensson, Mr Johan Cervin NA\n", "1241 Svensson, Mr Olof NA\n", "1242 Tannous, Mr Thomas NA\n", "1243 Tenglin, Mr Gunnar Isidor NA\n", "1244 Theobald, Mr Thomas Leonard NA\n", "1245 Thomas, Mrs Alexander NA\n", "1246 Thomas, Master Assad Alexander NA\n", "1247 Thomas, Mr Charles NA\n", "1248 Thomas, Mr John, Jr NA\n", "1249 Thomas, Mr John (? 1st/2nd class) NA\n", "1250 Thomson, Mr Alexander NA\n", "1251 Thorneycroft, Mr Percival NA\n", "1252 Thorneycroft, Mrs Percival NA\n", "1253 Tikkanen, Mr Juho NA\n", "1254 Tobin, Mr Roger NA\n", "1255 Todoroff, Mr Lalio NA\n", "1256 Toerber, Mr Ernest William NA\n", "1257 Tomlin, Mr Ernest Portage NA\n", "1258 Torfa, Mr Assad NA\n", "1259 Tornquist, Mr William Henry NA\n", "1260 Touma (Thomas), Mrs Darwin NA\n", "1261 Touma (Thomas), Master George NA\n", "1262 Touma (Thomas), Miss Hannah NA\n", "1263 Turcin, Mr Stefan NA\n", "1264 Turja, Miss Anna Sofia NA\n", "1265 Turkula, Mrs Hedvig NA\n", "1266 Uzelas, Mr Joso NA\n", "1267 Van Billiard, Mr Austin Blyler NA\n", "1268 Van Billiard, Master James William NA\n", "1269 Van Billiard, Master Walter John NA\n", "1270 Van der Planke, Miss Augusta NA\n", "1271 Van der Planke, Mr Jules NA\n", "1272 Van der Planke, Mrs Jules NA\n", "1273 Van der Planke, Mr Leon NA\n", "1274 Van der Steen, Mr Leo Peter NA\n", "1275 Van de Velde, Mr John Joseph NA\n", "1276 Vandewalle, Mr Nestor Cyriel NA\n", "1277 Van Impe, Miss Catharine NA\n", "1278 Van Impe, Mr Jean Baptiste NA\n", "1279 Van Impe, Mrs Jean Baptiste NA\n", "1280 Vartunian, Mr David NA\n", "1281 Vassilios, Mr Catavelas NA\n", "1282 Vendel, Mr Olof Wdvin NA\n", "1283 Vereruysse, Mr Victor NA\n", "1284 Vestrom, Miss Hulda Amanda Adolfina NA\n", "1285 Vonk, Mr Jenko NA\n", "1286 Ware, Mr Frederick NA\n", "1287 Warren, Mr Charles William NA\n", "1288 Wazli, Mr Yousif NA\n", "1289 Webber, Mr James NA\n", "1290 Wennerstrom, Mr August Edvard NA\n", "1291 Wenzel, Mr Linhart NA\n", "1292 Widegren, Mr Charles Peter NA\n", "1293 Wiklund, Mr Jacob Alfred NA\n", "1294 Wilkes, Mrs Ellen NA\n", "1295 Willer, Mr Aaron NA\n", "1296 Willey, Mr Edward NA\n", "1297 Williams, Mr Howard Hugh NA\n", "1298 Williams, Mr Leslie NA\n", "1299 Windelov, Mr Einar NA\n", "1300 Wirz, Mr Albert NA\n", "1301 Wiseman, Mr Phillippe NA\n", "1302 Wittevrongel, Mr Camiel NA\n", "1303 Yalsevac, Mr Ivan NA\n", "1304 Yasbeck, Mr Antoni NA\n", "1305 Yasbeck, Mrs Antoni NA\n", "1306 Youssef, Mr Gerios NA\n", "1307 Zabour, Miss Hileni NA\n", "1308 Zabour, Miss Tamini NA\n", "1309 Zakarian, Mr Artun NA\n", "1310 Zakarian, Mr Maprieder NA\n", "1311 Zenn, Mr Philip NA\n", "1312 Zievens, Rene NA\n", "1313 Zimmerman, Leo NA\n", " embarked home.dest\n", "1 Southampton St Louis, MO\n", "2 Southampton Montreal, PQ / Chesterville, ON\n", "3 Southampton Montreal, PQ / Chesterville, ON\n", "4 Southampton Montreal, PQ / Chesterville, ON\n", "5 Southampton Montreal, PQ / Chesterville, ON\n", "6 Southampton New York, NY\n", "7 Southampton Hudson, NY\n", "8 Southampton Belfast, NI\n", "9 Southampton Bayside, Queens, NY\n", "10 Cherbourg Montevideo, Uruguay\n", "11 Cherbourg New York, NY\n", "12 Cherbourg New York, NY\n", "13 Cherbourg Paris, France\n", "14 Southampton Hessle, Yorks\n", "15 Southampton New York, NY\n", "16 Cherbourg Montreal, PQ\n", "17 Cherbourg Montreal, PQ\n", "18 Cherbourg Winnipeg, MN\n", "19 Southampton New York, NY\n", "20 Southampton New York, NY\n", "21 Cherbourg New York, NY\n", "22 Cherbourg San Francisco, CA\n", "23 Cherbourg Dowagiac, MI\n", "24 Cherbourg Dowagiac, MI\n", "25 Southampton Stockholm, Sweden / Washington, DC\n", "26 Southampton Trenton, NJ\n", "27 Cherbourg Glen Ridge, NJ\n", "28 Southampton Youngstown, OH\n", "29 Southampton Birkdale, England Cleveland, Ohio\n", "30 Southampton London / Winnipeg, MB\n", "31 Cherbourg Cooperstown, NY\n", "32 Southampton St Leonards-on-Sea, England Ohio\n", "33 Southampton Los Angeles, CA\n", "34 Southampton Pomeroy, WA\n", "35 Cherbourg Omaha, NE\n", "36 Cherbourg Philadelphia, PA\n", "37 Cherbourg Denver, CO\n", "38 Southampton Belmont, MA\n", "39 Cherbourg Philadelphia, PA\n", "40 Southampton Washington, DC\n", "41 Southampton New York, NY\n", "42 Cherbourg Washington, DC\n", "43 Cherbourg Germantown, Philadelphia, PA\n", "44 Cherbourg Austria-Hungary / Germantown, Philadelphia, PA\n", "45 Southampton New York, NY\n", "46 Southampton Montevideo, Uruguay\n", "47 Southampton Montevideo, Uruguay\n", "48 Southampton Bryn Mawr, PA\n", "49 Southampton Bryn Mawr, PA\n", "50 Southampton Bryn Mawr, PA\n", "51 Southampton Bryn Mawr, PA\n", "52 Southampton Ascot, Berkshire / Rochester, NY\n", "53 Cherbourg New York, NY\n", "54 Southampton Little Onn Hall, Staffs\n", "55 Southampton Little Onn Hall, Staffs\n", "56 Southampton Amenia, ND\n", "57 Southampton Amenia, ND\n", "58 Southampton New York, NY / Ithaca, NY\n", "59 Southampton New York, NY / Ithaca, NY\n", "60 Southampton London, England\n", "61 Cherbourg Paris, France\n", "62 Southampton St Leonards-on-Sea, England Ohio\n", "63 Liverpool, England / Belfast\n", "64 Cherbourg Los Angeles, CA\n", "65 Cherbourg Los Angeles, CA\n", "66 Southampton Stoughton, MA\n", "67 Southampton Victoria, BC\n", "68 Cherbourg Lakewood, NJ\n", "69 Cherbourg Lakewood, NJ\n", "70 Cherbourg Lakewood, NJ\n", "71 Southampton New York, NY\n", "72 Southampton Roachdale, IN\n", "73 Southampton Milwaukee, WI\n", "74 Southampton Milwaukee, WI\n", "75 Southampton Milwaukee, WI\n", "76 Cherbourg New York, NY\n", "77 Cherbourg New York, NY\n", "78 Southampton Lima, Peru\n", "79 Southampton Philadelphia, PA\n", "80 Southampton Montreal, PQ\n", "81 Southampton Montreal, PQ\n", "82 Cherbourg Belgium Montreal, PQ\n", "83 Cherbourg Calgary, AB\n", "84 Cherbourg Calgary, AB\n", "85 Southampton San Francisco, CA\n", "86 Southampton San Francisco, CA\n", "87 Southampton San Francisco, CA\n", "88 Cherbourg Montreal, PQ\n", "89 Cherbourg Deephaven, MN / Cedar Rapids, IA\n", "90 Cherbourg Deephaven, MN / Cedar Rapids, IA\n", "91 Cherbourg London / Paris\n", "92 Cherbourg London / Paris\n", "93 Cherbourg Philadelphia, PA\n", "94 Cherbourg Mt Airy, Philadelphia, PA\n", "95 Cherbourg Brookline, MA\n", "96 Cherbourg New York, NY\n", "97 Cherbourg New York, NY\n", "98 Southampton Brooklyn, NY\n", "99 Cherbourg New York, NY\n", "100 Southampton Winnipeg, MB\n", "101 Southampton Winnipeg, MB\n", "102 Southampton Winnipeg, MB\n", "103 Southampton Winnipeg, MB\n", "104 Southampton Winnipeg, MB\n", "105 Southampton Winnipeg, MB\n", "106 Southampton Westcliff-on-Sea, Essex\n", "107 Cherbourg New York, NY\n", "108 Cherbourg New York, NY\n", "109 Southampton New York, NY\n", "110 Cherbourg Zurich, Switzerland\n", "111 Cherbourg Zurich, Switzerland\n", "112 Cherbourg Zurich, Switzerland\n", "113 Southampton Scituate, MA\n", "114 Southampton Scituate, MA\n", "115 Southampton St Anne's-on-Sea, Lancashire\n", "116 Cherbourg New York, NY\n", "117 Cherbourg New York, NY\n", "118 Cherbourg Paris, France / New York, NY\n", "119 Cherbourg Paris, France / New York, NY\n", "120 Cherbourg New York, NY\n", "121 Southampton Washington, DC\n", "122 Southampton Winnipeg, MB\n", "123 Southampton Greenwich, CT\n", "124 Southampton Greenwich, CT\n", "125 Cherbourg New York, NY\n", "126 Cherbourg New York, NY\n", "127 Cherbourg New York, NY\n", "128 Cherbourg Brooklyn, NY\n", "129 Cherbourg Brooklyn, NY\n", "130 Cherbourg New York, NY\n", "131 Cherbourg New York, NY\n", "132 Southampton New York, NY\n", "133 Southampton New York, NY\n", "134 Southampton Kingston, Surrey\n", "135 Southampton Montreal, PQ\n", "136 Southampton Montreal, PQ\n", "137 Southampton New York, NY\n", "138 Southampton London / Middlesex\n", "139 Southampton Brighton, MA\n", "140 Southampton London / Birmingham\n", "141 Cherbourg Chicago, IL\n", "142 Cherbourg Chicago, IL\n", "143 Southampton Hudson, NY\n", "144 Southampton New York, NY\n", "145 Southampton New York, NY\n", "146 Cherbourg Indianapolis, IN\n", "147 Southampton New York, NY / Stamford CT\n", "148 Southampton New York, NY / Stamford CT\n", "149 Cherbourg New York, NY\n", "150 Cherbourg Paris, France New York, NY\n", "151 Southampton Liverpool\n", "152 Southampton Bennington, VT\n", "153 Southampton London\n", "154 Cherbourg Buffalo, NY\n", "155 Southampton Southington / Noank, CT\n", "156 Southampton Southington / Noank, CT\n", "157 Southampton Boston, MA\n", "158 Southampton Boston, MA\n", "159 Southampton Portland, OR\n", "160 Southampton New York, NY\n", "161 Cherbourg Chicago, IL\n", "162 Southampton Stockholm, Sweden\n", "163 Cherbourg Stockholm, Sweden\n", "164 Cherbourg Paris, France\n", "165 Cherbourg Paris, France\n", "166 \n", "167 Southampton Springfield, MA\n", "168 Southampton Hudson, NY\n", "169 Southampton London / New York, NY\n", "170 Southampton St Louis, MO\n", "171 Southampton Brockton, MA\n", "172 Cherbourg Paris, France\n", "173 Southampton New York, NY\n", "174 Southampton New York, NY\n", "175 Cherbourg Vancouver, BC\n", "176 Southampton Dorchester, MA\n", "177 Southampton Philadelphia, PA\n", "178 Cherbourg New York, NY\n", "179 Cherbourg New York, NY\n", "180 Southampton East Bridgewater, MA\n", "181 Queenstown Green Bay, WI\n", "182 Queenstown Fond du Lac, WI\n", "183 Queenstown Fond du Lac, WI\n", "184 Cherbourg New York, NY\n", "185 Southampton Montreal, PQ\n", "186 Southampton Washington, DC\n", "187 Cherbourg Brooklyn, NY\n", "188 Cherbourg Lexington, MA\n", "189 Cherbourg Lexington, MA\n", "190 Cherbourg Lexington, MA\n", "191 Southampton New York, NY\n", "192 Southampton Isle of Wight, England\n", "193 Cherbourg Paris, France\n", "194 Cherbourg Providence, RI\n", "195 Cherbourg Providence, RI\n", "196 ?Havana, Cuba\n", "197 Belfast\n", "198 Southampton Surbiton Hill, Surrey\n", "199 Southampton Montreal, PQ\n", "200 Southampton Isleworth, England\n", "201 Southampton Isleworth, England\n", "202 Cherbourg Madrid, Spain\n", "203 Cherbourg Madrid, Spain\n", "204 Southampton Toronto, ON\n", "205 Southampton Worcester, MA\n", "206 Cherbourg Mt Airy, Philadelphia, PA\n", "207 Southampton Rotterdam, Netherlands\n", "208 Cherbourg Paris / New York, NY\n", "209 Southampton St Louis, MO\n", "210 Southampton Trenton, NJ\n", "211 Southampton New York, NY\n", "212 Southampton Seattle, WA\n", "213 Cherbourg Paris, France\n", "214 Cherbourg Winnipeg, MB\n", "215 Southampton London Vancouver, BC\n", "216 Cherbourg New York, NY\n", "217 Cherbourg New York, NY\n", "218 Southampton London\n", "219 Cherbourg Haverford, PA / Cooperstown, NY\n", "220 Cherbourg Haverford, PA / Cooperstown, NY\n", "221 Cherbourg Haverford, PA / Cooperstown, NY\n", "222 Cherbourg Haverford, PA / Cooperstown, NY\n", "223 Cherbourg Haverford, PA / Cooperstown, NY\n", "224 Southampton Manchester, England\n", "225 Southampton New York, NY\n", "226 Cherbourg New York, NY\n", "227 Southampton New York, NY\n", "228 Southampton New York, NY / Greenwich CT\n", "229 Southampton St Louis, MO\n", "230 Duluth, MN\n", "231 Duluth, MN\n", "232 Basel, Switzerland\n", "233 Southampton New Britain, CT\n", "234 Southampton New York, NY\n", "235 Cherbourg St James, Long Island, NY\n", "236 Southampton Huntington, WV\n", "237 Southampton Huntington, WV\n", "238 Southampton Streatham, Surrey\n", "239 Southampton Minneapolis, MN\n", "240 Southampton Minneapolis, MN\n", "241 Cherbourg Tuxedo Park, NY\n", "242 Cherbourg Tuxedo Park, NY\n", "243 Cherbourg Tuxedo Park, NY\n", "244 Cherbourg Paris, France\n", "245 Cherbourg Paris, France\n", "246 Cherbourg Basel, Switzerland\n", "247 Southampton Wimbledon Park, London / Hayling Island, Hants\n", "248 Cherbourg Newark, NJ\n", "249 Cherbourg Newark, NJ\n", "250 Haverford, PA\n", "251 Cherbourg Gallipolis, Ohio / ? Paris / New York\n", "252 Cincinatti, OH\n", "253 Southampton New York, NY\n", "254 Southampton New York, NY\n", "255 Southampton Haddenfield, NJ\n", "256 Southampton Brooklyn, NY\n", "257 Southampton New York, NY\n", "258 Southampton New York, NY\n", "259 Southampton New York, NY\n", "260 Southampton London / East Orange, NJ\n", "261 Southampton London / East Orange, NJ\n", "262 Cherbourg Haverford, PA\n", "263 Cherbourg Haverford, PA\n", "264 Cherbourg Haverford, PA\n", "265 Cherbourg New York, NY\n", "266 Cherbourg New York, NY\n", "267 Cherbourg Albany, NY\n", "268 Cherbourg Mexico City, Mexico\n", "269 Southampton Brooklyn, NY\n", "270 Southampton East Orange, NJ\n", "271 Cherbourg Portland, OR\n", "272 Cherbourg Portland, OR\n", "273 Southampton England Salt Lake City, Utah\n", "274 Cherbourg New York, NY / Briarcliff Manor NY\n", "275 Southampton Brunswick, ME\n", "276 Southampton Brunswick, ME\n", "277 Southampton Youngstown, OH\n", "278 Southampton Youngstown, OH\n", "279 Southampton Youngstown, OH\n", "280 Cherbourg Elkins Park, PA\n", "281 Cherbourg Elkins Park, PA\n", "282 Cherbourg Elkins Park, PA\n", "283 Southampton Duluth, MN\n", "284 Cherbourg Geneva, Switzerland / Radnor, PA\n", "285 Southampton London, England\n", "286 Cherbourg Geneva, Switzerland / Radnor, PA\n", "287 Southampton London, England\n", "288 Southampton Halifax, NS\n", "289 Cherbourg New York, NY / Washington, DC\n", "290 Southampton \n", "291 Cherbourg \n", "292 Cherbourg \n", "293 Southampton \n", "294 Cherbourg \n", "295 Cherbourg \n", "296 Cherbourg \n", "297 Southampton \n", "298 Southampton \n", "299 Cherbourg New York, NY\n", "300 Southampton \n", "301 Cherbourg \n", "302 Cherbourg \n", "303 Southampton \n", "304 Cherbourg \n", "305 Cherbourg \n", "306 Southampton \n", "307 Southampton \n", "308 Cherbourg \n", "309 \n", "310 Cherbourg \n", "311 Southampton \n", "312 Cherbourg \n", "313 Cherbourg \n", "314 Southampton \n", "315 Cherbourg \n", "316 Southampton \n", "317 Cherbourg \n", "318 Cherbourg \n", "319 Cherbourg \n", "320 Southampton \n", "321 Cherbourg \n", "322 Cherbourg \n", "323 Cherbourg Russia New York, NY\n", "324 Cherbourg Russia New York, NY\n", "325 Southampton Buenos Aires, Argentina / New Jersey, NJ\n", "326 Southampton Cornwall, England Houghton, MI\n", "327 Southampton Warwick, England\n", "328 Southampton Warwick, England\n", "329 Southampton West Hoboken, NJ\n", "330 Southampton Penzance, Cornwall / Akron, OH\n", "331 Southampton Guernsey\n", "332 Southampton Bristol, Avon / Jacksonville, FL\n", "333 Southampton Plymouth, Dorset / Houghton, MI\n", "334 Southampton Jacksonville, FL\n", "335 Southampton Norwich / New York, NY\n", "336 Southampton Norwich / New York, NY\n", "337 Southampton England\n", "338 Southampton Guntur, India / Benton Harbour, MI\n", "339 Southampton Guntur, India / Benton Harbour, MI\n", "340 Southampton Guntur, India / Benton Harbour, MI\n", "341 Southampton Guntur, India / Benton Harbour, MI\n", "342 Southampton London\n", "343 Southampton Rochester, NY\n", "344 Southampton St Ives, Cornwall / Calumet, MI\n", "345 Southampton Elmira, NY / Orange, NJ\n", "346 Southampton London\n", "347 Southampton Lake Arthur, Chavez County, NM\n", "348 Southampton Cape Town, South Africa / Seattle, WA\n", "349 Southampton Cape Town, South Africa / Seattle, WA\n", "350 Southampton Cape Town, South Africa / Seattle, WA\n", "351 Southampton Skara, Sweden / Rockford, IL\n", "352 Southampton Skara, Sweden / Rockford, IL\n", "353 Southampton Sittingbourne, England / San Diego, CA\n", "354 Southampton Southsea, Hants\n", "355 Southampton London\n", "356 Southampton New York, NY\n", "357 Southampton Bangkok, Thailand / Roseville, IL\n", "358 Southampton Bangkok, Thailand / Roseville, IL\n", "359 Southampton Bangkok, Thailand / Roseville, IL\n", "360 Southampton Mamaroneck, NY\n", "361 Belfast\n", "362 Southampton St Ives, Cornwall / Calumet, MI\n", "363 Southampton London\n", "364 Southampton London\n", "365 Southampton Bronx, NY\n", "366 Southampton Cornwall / Spokane, WA\n", "367 Southampton Cornwall / Spokane, WA\n", "368 Southampton London\n", "369 Southampton London\n", "370 Southampton England / San Francisco, CA\n", "371 Southampton England / San Francisco, CA\n", "372 Southampton Hartford, Huntingdonshire\n", "373 Southampton Helsinki, Finland Ashtabula, Ohio\n", "374 Southampton London / Fort Byron, NY\n", "375 Southampton Bishopstoke, Hants / Fayette Valley, ID\n", "376 Southampton Bishopstoke, Hants / Fayette Valley, ID\n", "377 Southampton Bishopstoke, Hants / Fayette Valley, ID\n", "378 Southampton Pennsylvania\n", "379 Southampton Provo, UT\n", "380 Southampton Upper Burma, India Pittsburgh, PA\n", "381 Southampton Penzance, Cornwall / Akron, OH\n", "382 Belfast\n", "383 Southampton Lyndhurst, England\n", "384 Southampton St Ives, Cornwall / Hancock, MI\n", "385 Southampton St Ives, Cornwall / Hancock, MI\n", "386 Southampton London / Staten Island, NY\n", "387 Southampton \n", "388 Portugal / Sau Paulo, Brazil\n", "389 Cherbourg Lucca, Italy / California\n", "390 Cherbourg Lucca, Italy / California\n", "391 Southampton Guernsey / Elizabeth, NJ\n", "392 Southampton New Forest, England\n", "393 Southampton Southampton\n", "394 Southampton Southampton\n", "395 Southampton Holley, NY\n", "396 Southampton Greenport, NY\n", "397 Southampton Greenport, NY\n", "398 Southampton Greenport, NY\n", "399 Cherbourg Barcelona, Spain / Havana, Cuba\n", "400 Cherbourg Barcelona, Spain / Havana, Cuba\n", "401 Southampton England / Detroit, MI\n", "402 Southampton Goteborg, Sweden / Rockford, IL\n", "403 Southampton Oslo, Norway Bayonne, NJ\n", "404 Southampton England / Philadelphia, PA\n", "405 \n", "406 Southampton Cornwall / Houghton, MI\n", "407 Southampton Rochester, NY\n", "408 Belfast\n", "409 Southampton Janjgir, India / Pennsylvania\n", "410 Southampton Liverpool / Montreal, PQ\n", "411 Southampton Cornwall / Clear Creek, CO\n", "412 Southampton Cornwall / Clear Creek, CO\n", "413 Southampton Brooklyn, NY\n", "414 Southampton Liverpool / Montreal, PQ\n", "415 Southampton Guernsey / Elizabeth, NJ\n", "416 Southampton Cornwall\n", "417 Southampton Cornwall / Camden, NJ\n", "418 Southampton Cornwall / Camden, NJ\n", "419 Southampton West Kensington, London\n", "420 Southampton Clevedon, England\n", "421 Southampton Vancouver, BC\n", "422 Southampton \n", "423 Southampton Bronx, NY\n", "424 Southampton Auburn, NY\n", "425 Southampton Detroit, MI\n", "426 Southampton Detroit, MI\n", "427 Southampton Seattle, WA / Toledo, OH\n", "428 Southampton Denmark Hill, Surrey / Chicago\n", "429 Southampton Denmark Hill, Surrey / Chicago\n", "430 Southampton London\n", "431 Southampton Walthamstow, England\n", "432 Southampton Ilford, Essex / Winnipeg, MB\n", "433 Southampton Ilford, Essex / Winnipeg, MB\n", "434 Southampton Ilford, Essex / Winnipeg, MB\n", "435 Southampton Somerset / Bernardsville, NJ\n", "436 Southampton Somerset / Bernardsville, NJ\n", "437 Southampton Somerset / Bernardsville, NJ\n", "438 Southampton Somerset / Bernardsville, NJ\n", "439 Southampton India / Rapid City, SD\n", "440 Southampton West Hampstead, London / Neepawa, MB\n", "441 Southampton West Hampstead, London / Neepawa, MB\n", "442 Southampton West Hampstead, London / Neepawa, MB\n", "443 Southampton Kontiolahti, Finland / Detroit, MI\n", "444 Southampton Cornwall / Akron, OH\n", "445 Southampton Cornwall / Akron, OH\n", "446 Southampton Cornwall / Akron, OH\n", "447 Southampton Devonport, England\n", "448 Southampton Southampton\n", "449 Southampton England / Sacramento, CA\n", "450 Southampton England / Sacramento, CA\n", "451 Southampton New Forest, England\n", "452 Southampton Tokyo, Japan\n", "453 Southampton Swindon, England\n", "454 Southampton Swindon, England\n", "455 Southampton Philadelphia, PA\n", "456 Southampton Guernsey\n", "457 Southampton London\n", "458 Southampton London\n", "459 Southampton North Evington, England\n", "460 Southampton Guernsey / Elizabeth, NJ\n", "461 Southampton Guernsey / Elizabeth, NJ\n", "462 Southampton St Ives, Cornwall / Houghton, MI\n", "463 Cherbourg New York, NY\n", "464 Southampton Moscow / Bronx, NY\n", "465 Southampton Moscow / Bronx, NY\n", "466 Southampton India / Pittsburgh, PA\n", "467 Queenstown \n", "468 Queenstown Harrisburg, PA\n", "469 Southampton London / New York, NY\n", "470 Queenstown Glasgow / Bangor, ME\n", "471 Belfast\n", "472 Southampton Sweden / Arlington, NJ\n", "473 Southampton Minneapolis, MN\n", "474 Southampton Minneapolis, MN\n", "475 Queenstown \n", "476 Southampton Chicago, IL\n", "477 Cherbourg Paris / Haiti\n", "478 Cherbourg Paris / Haiti\n", "479 Cherbourg Paris / Haiti\n", "480 Cherbourg Paris / Haiti\n", "481 Cherbourg Berne, Switzerland / Central City, IA\n", "482 Southampton London / Chicago, IL\n", "483 Cherbourg Montreal, PQ\n", "484 Southampton \n", "485 Queenstown \n", "486 Southampton Weston-Super-Mare, Somerset\n", "487 Southampton Weston-Super-Mare, Somerset\n", "488 Southampton Southampton / New York, NY\n", "489 Cherbourg Paris\n", "490 Cherbourg Paris / Montreal, PQ\n", "491 Cherbourg Paris / Montreal, PQ\n", "492 Cherbourg Paris / Montreal, PQ\n", "493 Cherbourg New York, NY\n", "494 Southampton Worcester, MA\n", "495 Southampton Worcester, England\n", "496 Southampton St Austall, Cornwall\n", "497 Southampton Weston-Super-Mare / Moose Jaw, SK\n", "498 Southampton Sydney, Australia\n", "499 Southampton Sarnia, ON\n", "500 Southampton Rochester, NY\n", "501 Southampton England / Bennington, VT\n", "502 Southampton England / Bennington, VT\n", "503 Southampton Chelsea, London\n", "504 Southampton Harrow-on-the-Hill, Middlesex\n", "505 Southampton Copenhagen, Denmark\n", "506 Southampton Guernsey / Montclair, NJ and/or Toledo, Ohio\n", "507 Southampton Frankfort, KY\n", "508 Southampton Petworth, Sussex\n", "509 Southampton Halesworth, England\n", "510 Queenstown Cambridge, MA\n", "511 Cherbourg New York, NY\n", "512 Cherbourg New York, NY\n", "513 Southampton Nice, France\n", "514 Southampton Nice, France\n", "515 Southampton Nice, France\n", "516 Southampton Boston, MA\n", "517 Southampton Cornwall / Hancock, MI\n", "518 Southampton Glasgow\n", "519 Cherbourg Cologne, Germany\n", "520 Southampton Folkstone, Kent / New York, NY\n", "521 Southampton Middleburg Heights, OH\n", "522 Southampton Pondersend, England / New Durham, NJ\n", "523 Cherbourg Spain / Havana, Cuba\n", "524 Southampton Hamilton, ON\n", "525 Cherbourg Spain / Havana, Cuba\n", "526 Southampton St Andrews, Guernsey\n", "527 Belfast\n", "528 Southampton Woodford County, KY\n", "529 Southampton Gunnislake, England / Butte, MT\n", "530 Southampton \n", "531 Southampton Ilfracombe, Devon\n", "532 Southampton Ilfracombe, Devon\n", "533 Southampton Russia\n", "534 Southampton Denmark / New York, NY\n", "535 Cherbourg Milford, NH\n", "536 Cherbourg Paris\n", "537 Southampton Plymouth, Devon / Detroit, MI\n", "538 Southampton Plymouth, Devon / Detroit, MI\n", "539 Southampton Plymouth, Devon / Detroit, MI\n", "540 Southampton Brighton, Sussex\n", "541 Southampton Elizabeth, NJ\n", "542 Southampton Elizabeth, NJ\n", "543 Southampton Spain\n", "544 Cherbourg Paris / Montreal, PQ\n", "545 Southampton Cornwall / Akron, OH\n", "546 Southampton Cornwall / Akron, OH\n", "547 Southampton Cornwall / Akron, OH\n", "548 Southampton London, England / Marietta, Ohio and Milwaukee, WI\n", "549 Southampton \n", "550 Southampton Guernsey / Wilmington, DE\n", "551 Southampton Liverpool\n", "552 Southampton Hornsey, England\n", "553 Southampton Deer Lodge, MT\n", "554 Southampton Finland / Minneapolis, MN\n", "555 Southampton Cornwall / Hancock, MI\n", "556 Southampton Finland / Washington, DC\n", "557 Southampton Sault St Marie, ON\n", "558 Queenstown Halifax, NS\n", "559 Southampton Cornwall\n", "560 Southampton Newark, NJ\n", "561 Southampton \n", "562 Southampton Cornwall / Houghton, MI\n", "563 Cherbourg New York, NY\n", "564 Southampton Catford, Kent / Detroit, MI\n", "565 Southampton Somerset / Bernardsville, NJ\n", "566 Southampton Indianapolis, IN\n", "567 Southampton \n", "568 Southampton Columbus, OH\n", "569 Southampton Bath, England / Massachusetts\n", "570 Southampton Plymouth, England\n", "571 Southampton Plymouth, England\n", "572 Southampton Barre, Co Washington, VT\n", "573 Southampton Antwerp, Belgium / Stanton, OH\n", "574 Southampton Mamaroneck, NY\n", "575 Southampton Bristol, England / New Britain, CT\n", "576 Southampton Bristol, England / New Britain, CT\n", "577 Southampton \n", "578 Southampton Belfast\n", "579 Southampton Aberdeen / Portland, OR\n", "580 Southampton Aberdeen / Portland, OR\n", "581 Southampton England / Hartford, CT\n", "582 Southampton Bromsgrove, England / Montreal, PQ\n", "583 Southampton Bromsgrove, England / Montreal, PQ\n", "584 Southampton Cornwall / Akron, OH\n", "585 Southampton Cornwall / Akron, OH\n", "586 Southampton Cornwall / Akron, OH\n", "587 Southampton Bournmouth, England\n", "588 Southampton Bournmouth, England\n", "589 Southampton Bournmouth, England\n", "590 Southampton Bournmouth, England\n", "591 Southampton Guernsey, England / Edgewood, RI\n", "592 Southampton \n", "593 \n", "594 Southampton London, England\n", "595 Southampton Manchester, England\n", "596 Southampton Harrow, England\n", "597 Southampton Yoevil, England / Cottage Grove, OR\n", "598 Southampton Paris\n", "599 Southampton Bryn Mawr, PA, USA\n", "600 Southampton London / Montreal, PQ\n", "601 Cherbourg \n", "602 Southampton \n", "603 Southampton \n", "604 Southampton East Providence, RI\n", "605 Southampton East Providence, RI\n", "606 Southampton East Providence, RI\n", "607 Southampton Norway Los Angeles, CA\n", "608 Southampton Perkins County, SD\n", "609 Cherbourg Greensburg, PA\n", "610 Southampton Taalintehdas, Finland Hoboken, NJ\n", "611 Southampton Asarum, Sweden Brooklyn, NY\n", "612 Southampton Bournemouth, England\n", "613 Southampton Sweden Akeley, MN\n", "614 Southampton \n", "615 Southampton Finland Sudbury, ON\n", "616 Southampton London, England Norfolk, VA\n", "617 Southampton London, England Norfolk, VA\n", "618 Southampton England Albion, NY\n", "619 Southampton Salo, Finland Astoria, OR\n", "620 Southampton Argentina\n", "621 Southampton Lower Clapton, Middlesex or Erdington, Birmingham\n", "622 Southampton Windsor, England New York, NY\n", "623 Southampton Bergen, Norway\n", "624 Southampton Oslo, Norway Cameron, WI\n", "625 Southampton Sweden Winnipeg, MN\n", "626 Southampton Sweden Winnipeg, MN\n", "627 Southampton Sweden Winnipeg, MN\n", "628 Southampton Sweden Winnipeg, MN\n", "629 Southampton Ruotsinphyhtaa, Finland New York, NY\n", "630 Southampton Vadsbro, Sweden Ministee, MI\n", "631 Southampton Sweden Winnipeg, MN\n", "632 Southampton Hartford, CT\n", "633 Southampton Sweden Winnipeg, MN\n", "634 Southampton Sweden Winnipeg, MN\n", "635 Southampton Sweden Chicago, IL\n", "636 Southampton Bulgaria Chicago, IL\n", "637 Southampton Altdorf, Switzerland\n", "638 Southampton Altdorf, Switzerland\n", "639 Southampton Sweden Joliet, IL\n", "640 Southampton \n", "641 Southampton Sweden Worcester, MA\n", "642 Southampton Sweden Worcester, MA\n", "643 Southampton Sweden Worcester, MA\n", "644 Southampton Sweden Worcester, MA\n", "645 Southampton Sweden Worcester, MA\n", "646 Southampton Sweden Worcester, MA\n", "647 Southampton Oskarshamn, Sweden Minneapolis, MN\n", "648 Southampton Sweden Worcester, MA\n", "649 Cherbourg Ottawa, ON\n", "650 Cherbourg Ottawa, ON\n", "651 Southampton \n", "652 Cherbourg \n", "653 Cherbourg Ottawa, ON\n", "654 Southampton Krakoryd, Sweden Bloomington, IL\n", "655 Cherbourg \n", "656 Southampton Ruotsinphytaa, Finland New York, NY\n", "657 Southampton Ruotsinphytaa, Finland New York, NY\n", "658 Cherbourg Syria New York, NY\n", "659 Cherbourg Syria New York, NY\n", "660 Cherbourg Syria New York, NY\n", "661 Cherbourg Syria New York, NY\n", "662 Southampton London Skanteales, NY\n", "663 Cherbourg \n", "664 Southampton \n", "665 Cherbourg Syria Youngstown, OH\n", "666 Cherbourg Syria Ottawa, ON\n", "667 Cherbourg Syria Ottawa, ON\n", "668 Queenstown New York, NY\n", "669 Southampton England New York, NY\n", "670 Southampton England\n", "671 Southampton Krakudden, Sweden Moune, IL\n", "672 Southampton Tranvik, Finland New York\n", "673 Cherbourg Syria\n", "674 Southampton Hong Kong New York, NY\n", "675 Southampton Brennes, Norway New York\n", "676 Southampton Stockholm, Sweden New York\n", "677 Southampton Bulgaria Chicago, IL\n", "678 Cherbourg Syria Kent, ON\n", "679 Cherbourg Syria\n", "680 Cherbourg Syria Kent, ON\n", "681 Cherbourg Syria Kent, ON\n", "682 Queenstown Ireland Chicago, IL\n", "683 Queenstown Ireland Chicago, IL\n", "684 Queenstown Ireland Chicago, IL\n", "685 Southampton Treherbert, Cardiff, Wales\n", "686 Queenstown Kingwilliamstown, Co Cork, Ireland Glens Falls, NY\n", "687 Southampton Medeltorp, Sweden Chicago, IL\n", "688 Cherbourg \n", "689 Southampton Bridgerule, Devon\n", "690 Southampton Bridgerule, Devon\n", "691 Southampton Sweden Worcester, MA\n", "692 Southampton Broomfield, Chelmsford, England\n", "693 Queenstown Kingwilliamstown, Co Cork, Ireland New York, NY\n", "694 Queenstown Co Cork, Ireland Roxbury, MA\n", "695 Queenstown Co Cork, Ireland Charlestown, MA\n", "696 Queenstown Co Sligo, Ireland New York, NY\n", "697 Southampton Croatia\n", "698 Southampton Croatia\n", "699 Southampton Croatia\n", "700 Southampton Croatia\n", "701 Southampton \n", "702 Queenstown \n", "703 Queenstown Ireland Philadelphia, PA\n", "704 Southampton \n", "705 Cherbourg Ottawa, ON\n", "706 Cherbourg Ottawa, ON\n", "707 Southampton Goteborg, Sweden Huntley, IL\n", "708 Southampton New York, NY\n", "709 Southampton \n", "710 Southampton Dagsas, Sweden Fower, MN\n", "711 Queenstown Co Longford, Ireland New York, NY\n", "712 Queenstown Co Sligo, Ireland Hartford, CT\n", "713 Southampton St Denys, Southampton, Hants\n", "714 Cherbourg Syria Fredericksburg, VA\n", "715 Southampton London\n", "716 Southampton Ireland New York, NY\n", "717 Cherbourg \n", "718 Southampton Hong Kong New York, NY\n", "719 Southampton \n", "720 Cherbourg Greece\n", "721 Cherbourg Greece\n", "722 Southampton Portugal\n", "723 Southampton London Brooklyn, NY\n", "724 Queenstown Co Limerick, Ireland Sherbrooke, PQ\n", "725 Southampton \n", "726 Southampton Bulgaria Chicago, IL\n", "727 Queenstown Philadelphia, PA\n", "728 Queenstown Ireland Brooklyn, NY\n", "729 Queenstown Ireland\n", "730 Queenstown Ireland\n", "731 Queenstown \n", "732 Southampton \n", "733 Southampton Austria\n", "734 Southampton Austria\n", "735 Southampton Austria\n", "736 Southampton London\n", "737 Southampton England Brooklyn, NY\n", "738 Southampton England Brooklyn, NY\n", "739 Southampton England Brooklyn, NY\n", "740 Southampton Merrill, WI\n", "741 Southampton Bristol, England Cleveland, 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Devon, England Wichita, KS\n", "765 Southampton \n", "766 Southampton Tampico, MT\n", "767 Southampton Tampico, MT\n", "768 Southampton Belgium Detroit, MI\n", "769 Southampton Bulgaria Coon Rapids, IA\n", "770 Southampton \n", "771 Southampton \n", "772 Queenstown Kilmacowen, Co Sligo, Ireland New York, NY\n", "773 Queenstown \n", "774 Cherbourg \n", "775 Southampton \n", "776 Southampton \n", "777 Queenstown Ireland New York, NY\n", "778 Southampton England Oglesby, IL\n", "779 Southampton Union Hill, NJ\n", "780 Queenstown Ireland New York, NY\n", "781 Southampton London New York, NY\n", "782 Cherbourg Austria Niagara Falls, NY\n", "783 Queenstown Ballydehob, Co Cork, Ireland New York, NY\n", "784 Southampton England Albion, NY\n", "785 Southampton West Haven, CT\n", "786 Southampton West Haven, CT\n", "787 Southampton Austria-Hungary\n", "788 Southampton Tofta, Sweden Joliet, IL\n", "789 Southampton Karberg, Sweden Jerome Junction, AZ\n", "790 Southampton Effington Rut, SD\n", "791 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"817 Southampton \n", "818 Queenstown Co Longford, Ireland New York, NY\n", "819 Queenstown Co Clare, Ireland Washington, DC\n", "820 Southampton Strood, Kent, England Detroit, MI\n", "821 Southampton Strood, Kent, England Detroit, MI\n", "822 Southampton Strood, Kent, England Detroit, MI\n", "823 Southampton Philadelphia, PA\n", "824 Southampton Portugal\n", "825 Southampton Wiltshire, England Niagara Falls, NY\n", "826 Southampton Wiltshire, England Niagara Falls, NY\n", "827 Southampton Wiltshire, England Niagara Falls, NY\n", "828 Southampton Wiltshire, England Niagara Falls, NY\n", "829 Southampton Wiltshire, England Niagara Falls, NY\n", "830 Southampton Wiltshire, England Niagara Falls, NY\n", "831 Southampton Wiltshire, England Niagara Falls, NY\n", "832 Southampton Wiltshire, England Niagara Falls, NY\n", "833 Southampton Dorking, Surrey, England\n", "834 Southampton Foresvik, Norway Portland, ND\n", "835 Southampton \n", "836 Southampton Waukegan, Chicago, IL\n", "837 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\n", "1295 \n", "1296 \n", "1297 \n", "1298 \n", "1299 \n", "1300 \n", "1301 \n", "1302 \n", "1303 \n", "1304 \n", "1305 \n", "1306 \n", "1307 \n", "1308 \n", "1309 \n", "1310 \n", "1311 \n", "1312 \n", "1313 \n", " room ticket boat sex\n", "1 B-5 24160 L221 2 female\n", "2 C26 female\n", "3 C26 (135) male\n", "4 C26 female\n", "5 C22 11 male\n", "6 E-12 3 male\n", "7 D-7 13502 L77 10 female\n", "8 A-36 male\n", "9 C-101 2 female\n", "10 (22) male\n", "11 17754 L224 10s 6d (124) male\n", "12 17754 L224 10s 6d 4 female\n", "13 B-35 17477 L69 6s 9 female\n", "14 A-23 B male\n", "15 male\n", "16 B-58/60 6 female\n", "17 B-58/60 male\n", "18 C-6 male\n", "19 D-35 5 male\n", "20 D-35 5 female\n", "21 C-148 5 male\n", "22 (148) male\n", "23 B-49 7 male\n", "24 B-49 7 female\n", "25 D male\n", "26 (241) male\n", "27 A-31 7 male\n", "28 C-7 8 female\n", "29 C-103 8 female\n", "30 D-21/2 male\n", "31 4 female\n", "32 6 female\n", "33 15 male\n", "34 male\n", "35 17591 L50 9s 11d (208) male\n", "36 male\n", "37 17610 L27 15s 5d 6 female\n", "38 C-101 D female\n", "39 8 female\n", "40 male\n", "41 5/7 male\n", "42 6 female\n", "43 B-51/3/5 17755 L512 6s 3 female\n", "44 B-51/3/5 17755 L512 6s 3 male\n", "45 male\n", "46 male\n", "47 male\n", "48 C male\n", "49 4 female\n", "50 4 female\n", "51 4 male\n", "52 male\n", "53 5 female\n", "54 (172) male\n", "55 6 female\n", "56 male\n", "57 female\n", "58 5 male\n", "59 5 female\n", "60 8 female\n", "61 7 male\n", "62 6 female\n", "63 male\n", "64 C-87 male\n", "65 C-87 4 female\n", "66 male\n", "67 male\n", "68 14 female\n", "69 male\n", "70 14 female\n", "71 C-101 2 female\n", "72 male\n", "73 (269) male\n", "74 5 female\n", "75 5 female\n", "76 C-85 male\n", "77 C-85 4 female\n", "78 A male\n", "79 7 male\n", "80 male\n", "81 3 female\n", "82 6 female\n", "83 3 male\n", "84 3 female\n", "85 13 male\n", "86 5/7 female\n", "87 5/7 male\n", "88 6 female\n", "89 (62) male\n", "90 2 female\n", "91 11755 L39 12s 1 male\n", "92 17485 L56 18s 7d 1 female\n", "93 (133) male\n", "94 7 female\n", "95 4 female\n", "96 female\n", "97 7 female\n", "98 5/7 male\n", "99 male\n", "100 10 female\n", "101 male\n", "102 10 female\n", "103 10 female\n", "104 male\n", "105 10 female\n", "106 male\n", "107 5 male\n", "108 5 female\n", "109 5 male\n", "110 5 female\n", "111 5 male\n", "112 5 female\n", "113 male\n", "114 9 female\n", "115 (275) male\n", "116 7 female\n", "117 7 female\n", "118 5 male\n", "119 5 female\n", "120 male\n", "121 C-51 113780 L28 10s B male\n", "122 (147) male\n", "123 C-125 17582 L153 9s 3d 3 female\n", "124 C-91 17582 L153 9s 3d 3 female\n", "125 7 female\n", "126 7 male\n", "127 B-82/4 17593 L56 18s 7d male\n", "128 5 male\n", "129 5 female\n", "130 3 male\n", "131 3 female\n", "132 C-83 36973 L83 9s 6d male\n", "133 C-83 36973 L83 9s 6d D female\n", "134 3 male\n", "135 (307) male\n", "136 3 female\n", "137 7 female\n", "138 male\n", "139 male\n", "140 male\n", "141 B-18 111361 L57 19s 7d 4 female\n", "142 B-18 111361 L57 19s 7d 4 female\n", "143 D-? 13502 L77 10 female\n", "144 (38) male\n", "145 female\n", "146 15 male\n", "147 C-93 D male\n", "148 C-93 D female\n", "149 14 male\n", "150 C-49 female\n", "151 B-52/4/6 112058 Complimentary C male\n", "152 (80) male\n", "153 male\n", "154 (258) male\n", "155 male\n", "156 8 female\n", "157 5 male\n", "158 5 female\n", "159 male\n", "160 8 female\n", "161 male\n", "162 male\n", "163 6 female\n", "164 9 female\n", "165 9 female\n", "166 male\n", "167 (126) male\n", "168 D-? 13502 L77 10 female\n", "169 male\n", "170 B-5 24160 L221 2 female\n", "171 male\n", "172 7 male\n", "173 male\n", "174 female\n", "175 (292) male\n", "176 (175) male\n", "177 7 male\n", "178 male\n", "179 6 female\n", "180 (249) male\n", "181 14 female\n", "182 (230) male\n", "183 14 female\n", "184 11 male\n", "185 male\n", "186 male\n", "187 male\n", "188 (122) male\n", "189 6 female\n", "190 6 female\n", "191 5 female\n", "192 (263) male\n", "193 7 male\n", "194 (234) male\n", "195 5 female\n", "196 (189) male\n", "197 male\n", "198 (166) male\n", "199 male\n", "200 male\n", "201 8 female\n", "202 male\n", "203 8 female\n", "204 C-104 6 male\n", "205 (207) male\n", "206 7 female\n", "207 male\n", "208 17604 L39 12s A male\n", "209 B-3 24160 L221 2 female\n", "210 male\n", "211 15 male\n", "212 male\n", "213 A-11 17613 L27 14s 5d 11 female\n", "214 male\n", "215 8 female\n", "216 male\n", "217 6 female\n", "218 (109) male\n", "219 17608 L262 7s 6d male\n", "220 17608 L262 7s 6d 4 female\n", "221 17608 L262 7s 6d 4 female\n", "222 17608 L262 7s 6d 4 male\n", "223 17608 L262 7s 6d 4 female\n", "224 3 male\n", "225 1 male\n", "226 11 female\n", "227 7 male\n", "228 C-125 17582 L153 9s 3d 3 female\n", "229 5 male\n", "230 male\n", "231 female\n", "232 3 male\n", "233 7 male\n", "234 male\n", "235 male\n", "236 male\n", "237 6 female\n", "238 male\n", "239 7 male\n", "240 7 female\n", "241 3 male\n", "242 3 female\n", "243 3 male\n", "244 male\n", 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10s 6d 4 female\n", "300 C-55 (?C-95) 17483 male\n", "301 4 female\n", "302 17485 female\n", "303 B-102 112058 male\n", "304 female\n", "305 B-86 17593 male\n", "306 male\n", "307 112059 (110) male\n", "308 male\n", "309 female\n", "310 (45) male\n", "311 2 female\n", "312 2 female\n", "313 B-? male\n", "314 8 female\n", "315 female\n", "316 female\n", "317 (232) male\n", "318 C-62 17754 male\n", "319 female\n", "320 female\n", "321 female\n", "322 female\n", "323 male\n", "324 12 female\n", "325 male\n", "326 male\n", "327 male\n", "328 female\n", "329 male\n", "330 male\n", "331 male\n", "332 female\n", "333 male\n", "334 (174) male\n", "335 male\n", "336 female\n", "337 male\n", "338 230136 L39 11 female\n", "339 230136 L39 11 female\n", "340 230136 L39 11 male\n", "341 230136 L39 13 female\n", "342 D-56 248698 L13 13 male\n", "343 12 female\n", "344 male\n", "345 male\n", "346 male\n", "347 male\n", "348 14 female\n", "349 male\n", "350 14 female\n", "351 12 female\n", "352 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"1257 male\n", "1258 male\n", "1259 male\n", "1260 female\n", "1261 male\n", "1262 female\n", "1263 male\n", "1264 female\n", "1265 female\n", "1266 male\n", "1267 male\n", "1268 male\n", "1269 male\n", "1270 female\n", "1271 male\n", "1272 female\n", "1273 male\n", "1274 male\n", "1275 male\n", "1276 male\n", "1277 female\n", "1278 male\n", "1279 female\n", "1280 male\n", "1281 male\n", "1282 male\n", "1283 male\n", "1284 female\n", "1285 male\n", "1286 male\n", "1287 male\n", "1288 male\n", "1289 male\n", "1290 male\n", "1291 male\n", "1292 male\n", "1293 male\n", "1294 female\n", "1295 male\n", "1296 male\n", "1297 male\n", "1298 male\n", "1299 male\n", "1300 male\n", "1301 male\n", "1302 male\n", "1303 male\n", "1304 male\n", "1305 female\n", "1306 male\n", "1307 female\n", "1308 female\n", "1309 male\n", "1310 male\n", "1311 male\n", "1312 female\n", "1313 male" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "attach(Titanic)\n", "#Titanic\n", "library(plyr)\n", "Titanic$pclass<-revalue(pclass, c(\"1st\"=1, \"2nd\"=1,\"3rd\"=0))\n", "Titanic" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [], "source": [ "fit.survive<-glm(survived ~ sex + age +pclass,family= \"binomial\")" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "\n", "Call:\n", "glm(formula = survived ~ sex + age + pclass, family = \"binomial\")\n", "\n", "Deviance Residuals: \n", " Min 1Q Median 3Q Max \n", "-2.9784 -0.6520 -0.3142 0.5894 2.7022 \n", "\n", "Coefficients:\n", " Estimate Std. Error z value Pr(>|z|) \n", "(Intercept) 4.522163 0.471008 9.601 < 2e-16 ***\n", "sexmale -3.086709 0.241063 -12.805 < 2e-16 ***\n", "age -0.049309 0.008732 -5.647 1.63e-08 ***\n", "pclass2nd -1.495229 0.281986 -5.302 1.14e-07 ***\n", "pclass3rd -2.841271 0.338897 -8.384 < 2e-16 ***\n", "---\n", "Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1\n", "\n", "(Dispersion parameter for binomial family taken to be 1)\n", "\n", " Null deviance: 869.54 on 632 degrees of freedom\n", "Residual deviance: 539.71 on 628 degrees of freedom\n", " (680 observations deleted due to missingness)\n", "AIC: 549.71\n", "\n", "Number of Fisher Scoring iterations: 5\n" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "summary(fit.survive)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [], "source": [ "fit.survive<-glm(survived ~ sex + age + pclass + sex:pclass + age:pclass,family= \"binomial\")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "\n", "Call:\n", "glm(formula = survived ~ sex + age + pclass + sex:pclass + age:pclass, \n", " family = \"binomial\")\n", "\n", "Deviance Residuals: \n", " Min 1Q Median 3Q Max \n", "-3.0532 -0.6111 -0.3829 0.4168 2.5174 \n", "\n", "Coefficients:\n", " Estimate Std. Error z value Pr(>|z|) \n", "(Intercept) 4.736466 0.756171 6.264 3.76e-10 ***\n", "sexmale -3.685635 0.510927 -7.214 5.45e-13 ***\n", "age -0.042485 0.013044 -3.257 0.00113 ** \n", "pclass2nd 0.232062 1.095137 0.212 0.83218 \n", "pclass3rd -3.978596 0.888172 -4.480 7.48e-06 ***\n", "sexmale:pclass2nd -0.655681 0.735503 -0.891 0.37268 \n", "sexmale:pclass3rd 1.870332 0.631770 2.960 0.00307 ** \n", "age:pclass2nd -0.049047 0.023427 -2.094 0.03629 * \n", "age:pclass3rd 0.007216 0.021396 0.337 0.73593 \n", "---\n", "Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1\n", "\n", "(Dispersion parameter for binomial family taken to be 1)\n", "\n", " Null deviance: 869.54 on 632 degrees of freedom\n", "Residual deviance: 517.73 on 624 degrees of freedom\n", " (680 observations deleted due to missingness)\n", "AIC: 535.73\n", "\n", "Number of Fisher Scoring iterations: 5\n" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "summary(fit.survive)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [], "source": [ "detach(Titanic)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Negative Binomial" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When $Y$ follows a negative binomial distribution, we model the mean as:\n", "\n", "$$\\mathbb{E}(Y|x) = exp(\\alpha + \\beta x)$$\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "What is the link function?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following example is lifted from http://www.ats.ucla.edu/stat/r/dae/nbreg.htm" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [], "source": [ "library(foreign)\n", "library(ggplot2)\n", "library(MASS)\n", "dat <- read.dta(\"http://www.ats.ucla.edu/stat/stata/dae/nb_data.dta\")" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Warning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generatedWarning message:\n", "In `[<-.factor`(`*tmp*`, ri, value = \"⋮\"): invalid factor level, NA generated" ] }, { "data": { "text/html": [ "\n", "\n", "\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\n", "
idgendermathdaysabsprog
11001male6342
21002male2742
31003female2022
41004female1632
51005female232
61006female71132
71007female63112
81008male372
91009male51102
101010male4993
111011female3143
121012male2252
131013female7352
141014female7761
151015male1013
161016male8902
171017female3412
181018female3502
191019male7751
201020male4242
211021female2122
221022male6102
231023male4112
241024male6302
251025female1982
261026male5561
271027male672
281028female2102
291029male7022
301030male7931
31⋮NA⋮⋮⋮
2852127male5381
2862128female4313
2872129male4613
2882130female3572
2892131female6363
2902132female7503
2912133female8483
2922134male4102
2932135female3213
2942136male1202
2952137male6143
2962138female99172
2972139male6791
2982140female3503
2992141female7003
3002142female8713
3012143male7033
3022144male5712
3032145male4423
3042146female2623
3052147male6323
3062148female852
3072150male6333
3082151female5973
3092152female4613
3102153male2612
3112154female7933
3122155female5902
3132156female9003
3142157female7723
\n" ], "text/latex": [ "\\begin{tabular}{r|lllll}\n", " & id & gender & math & daysabs & prog\\\\\n", "\\hline\n", "\t1 & 1001 & male & 63 & 4 & 2\\\\\n", "\t2 & 1002 & male & 27 & 4 & 2\\\\\n", "\t3 & 1003 & female & 20 & 2 & 2\\\\\n", "\t4 & 1004 & female & 16 & 3 & 2\\\\\n", "\t5 & 1005 & female & 2 & 3 & 2\\\\\n", "\t6 & 1006 & female & 71 & 13 & 2\\\\\n", "\t7 & 1007 & female & 63 & 11 & 2\\\\\n", "\t8 & 1008 & male & 3 & 7 & 2\\\\\n", "\t9 & 1009 & male & 51 & 10 & 2\\\\\n", "\t10 & 1010 & male & 49 & 9 & 3\\\\\n", "\t11 & 1011 & female & 31 & 4 & 3\\\\\n", "\t12 & 1012 & male & 22 & 5 & 2\\\\\n", "\t13 & 1013 & female & 73 & 5 & 2\\\\\n", "\t14 & 1014 & female & 77 & 6 & 1\\\\\n", "\t15 & 1015 & male & 10 & 1 & 3\\\\\n", "\t16 & 1016 & male & 89 & 0 & 2\\\\\n", "\t17 & 1017 & female & 34 & 1 & 2\\\\\n", "\t18 & 1018 & female & 35 & 0 & 2\\\\\n", "\t19 & 1019 & male & 77 & 5 & 1\\\\\n", "\t20 & 1020 & male & 4 & 24 & 2\\\\\n", "\t21 & 1021 & female & 21 & 2 & 2\\\\\n", "\t22 & 1022 & male & 61 & 0 & 2\\\\\n", "\t23 & 1023 & male & 41 & 1 & 2\\\\\n", "\t24 & 1024 & male & 63 & 0 & 2\\\\\n", "\t25 & 1025 & female & 19 & 8 & 2\\\\\n", "\t26 & 1026 & male & 55 & 6 & 1\\\\\n", "\t27 & 1027 & male & 6 & 7 & 2\\\\\n", "\t28 & 1028 & female & 21 & 0 & 2\\\\\n", "\t29 & 1029 & male & 70 & 2 & 2\\\\\n", "\t30 & 1030 & male & 79 & 3 & 1\\\\\n", "\t31 & ⋮ & NA & ⋮ & ⋮ & ⋮\\\\\n", "\t285 & 2127 & male & 53 & 8 & 1\\\\\n", "\t286 & 2128 & female & 43 & 1 & 3\\\\\n", "\t287 & 2129 & male & 46 & 1 & 3\\\\\n", "\t288 & 2130 & female & 35 & 7 & 2\\\\\n", "\t289 & 2131 & female & 63 & 6 & 3\\\\\n", "\t290 & 2132 & female & 75 & 0 & 3\\\\\n", "\t291 & 2133 & female & 84 & 8 & 3\\\\\n", "\t292 & 2134 & male & 41 & 0 & 2\\\\\n", "\t293 & 2135 & female & 32 & 1 & 3\\\\\n", "\t294 & 2136 & male & 12 & 0 & 2\\\\\n", "\t295 & 2137 & male & 61 & 4 & 3\\\\\n", "\t296 & 2138 & female & 99 & 17 & 2\\\\\n", "\t297 & 2139 & male & 67 & 9 & 1\\\\\n", "\t298 & 2140 & female & 35 & 0 & 3\\\\\n", "\t299 & 2141 & female & 70 & 0 & 3\\\\\n", "\t300 & 2142 & female & 87 & 1 & 3\\\\\n", "\t301 & 2143 & male & 70 & 3 & 3\\\\\n", "\t302 & 2144 & male & 57 & 1 & 2\\\\\n", "\t303 & 2145 & male & 44 & 2 & 3\\\\\n", "\t304 & 2146 & female & 26 & 2 & 3\\\\\n", "\t305 & 2147 & male & 63 & 2 & 3\\\\\n", "\t306 & 2148 & female & 8 & 5 & 2\\\\\n", "\t307 & 2150 & male & 63 & 3 & 3\\\\\n", "\t308 & 2151 & female & 59 & 7 & 3\\\\\n", "\t309 & 2152 & female & 46 & 1 & 3\\\\\n", "\t310 & 2153 & male & 26 & 1 & 2\\\\\n", "\t311 & 2154 & female & 79 & 3 & 3\\\\\n", "\t312 & 2155 & female & 59 & 0 & 2\\\\\n", "\t313 & 2156 & female & 90 & 0 & 3\\\\\n", "\t314 & 2157 & female & 77 & 2 & 3\\\\\n", "\\end{tabular}\n" ], "text/plain": [ " id gender math daysabs prog\n", "1 1001 male 63 4 2\n", "2 1002 male 27 4 2\n", "3 1003 female 20 2 2\n", "4 1004 female 16 3 2\n", "5 1005 female 2 3 2\n", "6 1006 female 71 13 2\n", "7 1007 female 63 11 2\n", "8 1008 male 3 7 2\n", "9 1009 male 51 10 2\n", "10 1010 male 49 9 3\n", "11 1011 female 31 4 3\n", "12 1012 male 22 5 2\n", "13 1013 female 73 5 2\n", "14 1014 female 77 6 1\n", "15 1015 male 10 1 3\n", "16 1016 male 89 0 2\n", "17 1017 female 34 1 2\n", "18 1018 female 35 0 2\n", "19 1019 male 77 5 1\n", "20 1020 male 4 24 2\n", "21 1021 female 21 2 2\n", "22 1022 male 61 0 2\n", "23 1023 male 41 1 2\n", "24 1024 male 63 0 2\n", "25 1025 female 19 8 2\n", "26 1026 male 55 6 1\n", "27 1027 male 6 7 2\n", "28 1028 female 21 0 2\n", "29 1029 male 70 2 2\n", "30 1030 male 79 3 1\n", "31 1031 male 1 0 2\n", "32 1032 female 29 1 2\n", "33 1033 male 40 3 2\n", "34 1034 male 39 0 2\n", "35 1035 male 68 0 2\n", "36 1036 female 20 28 2\n", "37 1037 male 10 8 2\n", "38 1038 male 84 5 2\n", "39 1039 male 1 5 1\n", "40 1040 female 35 27 2\n", "41 1041 female 32 5 2\n", "42 1042 female 34 18 2\n", "43 1043 female 40 19 2\n", "44 1044 male 29 9 2\n", "45 1045 male 20 9 2\n", "46 1046 female 27 4 2\n", "47 1047 male 74 2 2\n", "48 1048 male 38 3 2\n", "49 1049 male 21 9 2\n", "50 1050 female 81 20 2\n", "51 1051 male 16 6 2\n", "52 1052 male 59 0 2\n", "53 1053 male 48 27 2\n", "54 1054 female 55 12 2\n", "55 1055 female 4 34 2\n", "56 1056 male 57 1 2\n", "57 1057 male 5 28 1\n", "58 1058 male 3 8 1\n", "59 1059 female 23 3 2\n", "60 1060 female 35 2 2\n", "61 1061 male 33 1 2\n", "62 1062 female 27 7 2\n", "63 1063 male 13 4 2\n", "64 1064 male 46 8 2\n", "65 1065 female 30 6 2\n", "66 1066 male 32 16 2\n", "67 1067 female 26 6 1\n", "68 1068 female 14 4 2\n", "69 1069 female 31 3 3\n", "70 1070 female 48 5 2\n", "71 1071 male 72 0 2\n", "72 1072 male 79 9 2\n", "73 1073 male 15 0 3\n", "74 1074 male 24 8 2\n", "75 1075 female 55 0 3\n", "76 1076 female 13 14 1\n", "77 1077 male 34 4 2\n", "78 1078 male 67 2 2\n", "79 1079 male 1 35 2\n", "80 1080 female 21 23 2\n", "81 1081 female 33 13 2\n", "82 1082 male 78 6 2\n", "83 1083 female 84 3 1\n", "84 1084 male 59 6 2\n", "85 1085 male 75 0 2\n", "86 1086 male 22 11 1\n", "87 1087 female 49 11 2\n", "88 1088 female 13 11 2\n", "89 1089 male 84 4 3\n", "90 1090 male 27 6 2\n", "91 1091 female 27 23 2\n", "92 1092 female 70 5 2\n", "93 1093 male 96 5 2\n", "94 1094 female 70 29 1\n", "95 1095 female 10 7 2\n", "96 1096 male 14 1 2\n", "97 1097 male 20 9 2\n", "98 1098 male 11 11 2\n", "99 1099 male 42 18 2\n", "100 1100 male 2 12 2\n", "101 1101 male 24 6 1\n", "102 1102 male 37 0 2\n", "103 1103 male 13 4 2\n", "104 1104 male 3 10 2\n", "105 1105 male 70 19 1\n", "106 1106 female 27 1 2\n", "107 1107 female 1 12 1\n", "108 1108 female 61 3 2\n", "109 1109 male 44 0 2\n", "110 1110 male 35 9 2\n", "111 1111 male 78 14 2\n", "112 1112 female 3 7 2\n", "113 1113 male 21 3 2\n", "114 1114 male 26 10 2\n", "115 1115 male 44 12 2\n", "116 1116 female 47 6 2\n", "117 1117 female 35 35 2\n", "118 1118 female 8 16 1\n", "119 1119 female 87 3 2\n", "120 1120 male 3 10 2\n", "121 1121 male 6 6 2\n", "122 1122 male 89 3 1\n", "123 1123 male 13 2 2\n", "124 1124 male 84 6 2\n", "125 1125 male 90 5 2\n", "126 1126 female 71 13 2\n", "127 1127 female 15 7 1\n", "128 1128 female 41 5 2\n", "129 1129 female 63 3 2\n", "130 1130 female 34 30 2\n", "131 1131 female 45 16 2\n", "132 1132 female 29 15 2\n", "133 1133 female 3 12 2\n", "134 1134 male 35 1 2\n", "135 1135 male 32 4 1\n", "136 1136 male 22 7 2\n", "137 1137 female 81 1 2\n", "138 1139 female 73 10 2\n", "139 1140 male 69 3 2\n", "140 1141 female 27 30 1\n", "141 1142 female 13 2 2\n", "142 1143 female 76 13 2\n", "143 1144 female 7 5 1\n", "144 1145 male 59 5 2\n", "145 1146 female 29 5 2\n", "146 1147 female 57 4 2\n", "147 1148 female 44 3 2\n", "148 1149 female 53 20 2\n", "149 1150 female 23 12 2\n", "150 1151 female 29 34 1\n", "151 1152 male 40 6 2\n", "152 1153 male 49 14 2\n", "153 1154 female 38 16 1\n", "154 1155 male 31 9 1\n", "155 1156 female 21 15 1\n", "156 1157 male 8 15 1\n", "157 1158 male 37 0 2\n", "158 1159 male 53 1 2\n", "159 2001 female 31 4 3\n", "160 2002 male 57 0 3\n", "161 2003 male 57 0 3\n", "162 2004 male 59 2 3\n", "163 2005 female 29 1 3\n", "164 2006 female 41 2 2\n", "165 2007 male 71 0 3\n", "166 2008 female 59 0 3\n", "167 2009 male 71 0 3\n", "168 2010 female 70 7 3\n", "169 2011 male 77 2 3\n", "170 2012 female 70 9 2\n", "171 2013 female 87 6 3\n", "172 2014 male 59 4 3\n", "173 2015 male 65 1 3\n", "174 2016 female 28 7 2\n", "175 2017 male 77 0 3\n", "176 2018 male 65 0 3\n", "177 2019 female 73 4 3\n", "178 2020 male 99 2 2\n", "179 2021 female 57 0 3\n", "180 2022 female 77 4 3\n", "181 2023 female 57 2 2\n", "182 2024 female 47 21 1\n", "183 2025 female 24 1 3\n", "184 2026 male 84 0 3\n", "185 2027 female 73 1 3\n", "186 2028 male 81 16 3\n", "187 2029 female 52 9 1\n", "188 2030 female 75 16 3\n", "189 2031 male 65 0 2\n", "190 2032 female 44 11 1\n", "191 2033 male 44 1 3\n", "192 2034 female 79 2 3\n", "193 2035 female 20 3 3\n", "194 2036 female 16 4 2\n", "195 2037 female 99 2 2\n", "196 2038 female 71 7 1\n", "197 2039 male 46 7 3\n", "198 2040 female 57 0 2\n", "199 2041 female 67 1 2\n", "200 2042 female 87 1 3\n", "201 2043 female 70 0 3\n", "202 2044 female 21 13 3\n", "203 2045 female 31 1 3\n", "204 2046 male 63 0 3\n", "205 2047 female 44 1 2\n", "206 2048 male 34 0 3\n", "207 2049 female 77 4 1\n", "208 2050 female 94 0 3\n", "209 2051 female 41 4 1\n", "210 2052 female 67 0 3\n", "211 2053 female 61 2 3\n", "212 2054 male 82 0 3\n", "213 2055 female 63 4 1\n", "214 2056 male 63 0 3\n", "215 2057 female 77 4 3\n", "216 2058 male 46 3 3\n", "217 2059 male 8 1 3\n", "218 2060 female 61 0 2\n", "219 2061 female 71 1 2\n", "220 2062 female 65 4 3\n", "221 2063 female 41 1 2\n", "222 2064 male 16 9 2\n", "223 2065 female 22 0 3\n", "224 2066 male 57 4 2\n", "225 2067 female 51 8 2\n", "226 2068 male 74 13 2\n", "227 2069 male 41 0 3\n", "228 2070 male 87 0 3\n", "229 2071 male 67 0 3\n", "230 2072 female 99 0 2\n", "231 2073 female 63 2 2\n", "232 2074 female 65 5 3\n", "233 2075 female 71 1 3\n", "234 2076 male 77 0 3\n", "235 2077 female 67 3 1\n", "236 2078 female 79 1 2\n", "237 2079 female 20 2 3\n", "238 2080 male 84 4 1\n", "239 2081 male 28 5 2\n", "240 2082 female 20 3 3\n", "241 2083 male 26 1 3\n", "242 2084 female 75 3 2\n", "243 2085 female 63 6 3\n", "244 2086 male 39 8 3\n", "245 2087 male 32 21 2\n", "246 2088 male 15 1 2\n", "247 2089 female 55 7 3\n", "248 2090 female 32 5 2\n", "249 2091 male 34 1 2\n", "250 2092 female 67 1 3\n", "251 2093 female 41 0 3\n", "252 2094 male 41 4 3\n", "253 2095 female 29 0 2\n", "254 2096 male 43 14 3\n", "255 2097 female 77 2 2\n", "256 2098 female 53 2 3\n", "257 2099 female 44 2 3\n", "258 2100 male 51 0 3\n", "259 2101 male 67 1 3\n", "260 2102 male 49 19 3\n", "261 2103 female 37 2 2\n", "262 2104 male 65 11 3\n", "263 2105 male 43 3 1\n", "264 2106 female 48 5 2\n", "265 2107 female 99 16 1\n", "266 2108 female 34 0 3\n", "267 2109 male 87 5 3\n", "268 2110 male 75 3 3\n", "269 2111 female 57 2 2\n", "270 2112 male 61 2 3\n", "271 2113 male 73 8 1\n", "272 2114 female 70 0 3\n", "273 2115 female 99 3 3\n", "274 2116 male 73 0 3\n", "275 2117 male 66 1 3\n", "276 2118 male 57 9 2\n", "277 2119 male 77 1 3\n", "278 2120 male 53 0 3\n", "279 2121 male 73 0 3\n", "280 2122 male 84 1 3\n", "281 2123 male 83 12 2\n", "282 2124 female 77 3 3\n", "283 2125 male 44 0 3\n", "284 2126 female 79 1 3\n", "285 2127 male 53 8 1\n", "286 2128 female 43 1 3\n", "287 2129 male 46 1 3\n", "288 2130 female 35 7 2\n", "289 2131 female 63 6 3\n", "290 2132 female 75 0 3\n", "291 2133 female 84 8 3\n", "292 2134 male 41 0 2\n", "293 2135 female 32 1 3\n", "294 2136 male 12 0 2\n", "295 2137 male 61 4 3\n", "296 2138 female 99 17 2\n", "297 2139 male 67 9 1\n", "298 2140 female 35 0 3\n", "299 2141 female 70 0 3\n", "300 2142 female 87 1 3\n", "301 2143 male 70 3 3\n", "302 2144 male 57 1 2\n", "303 2145 male 44 2 3\n", "304 2146 female 26 2 3\n", "305 2147 male 63 2 3\n", "306 2148 female 8 5 2\n", "307 2150 male 63 3 3\n", "308 2151 female 59 7 3\n", "309 2152 female 46 1 3\n", "310 2153 male 26 1 2\n", "311 2154 female 79 3 3\n", "312 2155 female 59 0 2\n", "313 2156 female 90 0 3\n", "314 2157 female 77 2 3" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dat" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ " id gender math daysabs prog \n", " 1001 : 1 female:160 Min. : 1.00 Min. : 0.000 General : 40 \n", " 1002 : 1 male :154 1st Qu.:28.00 1st Qu.: 1.000 Academic :167 \n", " 1003 : 1 Median :48.00 Median : 4.000 Vocational:107 \n", " 1004 : 1 Mean :48.27 Mean : 5.955 \n", " 1005 : 1 3rd Qu.:70.00 3rd Qu.: 8.000 \n", " 1006 : 1 Max. :99.00 Max. :35.000 \n", " (Other):308 " ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dat <- within(dat, {\n", " prog <- factor(prog, levels = 1:3, labels = c(\"General\", \"Academic\", \"Vocational\"))\n", " id <- factor(id)\n", "})\n", "\n", "summary(dat)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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+ facet_grid(prog ~ \n", " ., margins = TRUE, scales = \"free\")" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [], "source": [ "m1 <- glm.nb(daysabs ~ math + prog, data = dat)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "\n", "Call:\n", "glm.nb(formula = daysabs ~ math + prog, data = dat, init.theta = 1.032713156, \n", " link = log)\n", "\n", "Deviance Residuals: \n", " Min 1Q Median 3Q Max \n", "-2.1547 -1.0192 -0.3694 0.2285 2.5273 \n", "\n", "Coefficients:\n", " Estimate Std. Error z value Pr(>|z|) \n", "(Intercept) 2.615265 0.197460 13.245 < 2e-16 ***\n", "math -0.005993 0.002505 -2.392 0.0167 * \n", "progAcademic -0.440760 0.182610 -2.414 0.0158 * \n", "progVocational -1.278651 0.200720 -6.370 1.89e-10 ***\n", "---\n", "Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1\n", "\n", "(Dispersion parameter for Negative Binomial(1.0327) family taken to be 1)\n", "\n", " Null deviance: 427.54 on 313 degrees of freedom\n", "Residual deviance: 358.52 on 310 degrees of freedom\n", "AIC: 1741.3\n", "\n", "Number of Fisher Scoring iterations: 1\n", "\n", "\n", " Theta: 1.033 \n", " Std. 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