{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# R Graphics Exercise (Solutions)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Warning message:\n",
"“package ‘tidyverse’ was built under R version 3.4.2”── Attaching packages ─────────────────────────────────────── tidyverse 1.2.1 ──\n",
"✔ ggplot2 2.2.1 ✔ purrr 0.2.4\n",
"✔ tibble 1.4.2 ✔ dplyr 0.7.4\n",
"✔ tidyr 0.8.0 ✔ stringr 1.3.1\n",
"✔ readr 1.1.1 ✔ forcats 0.3.0\n",
"Warning message:\n",
"“package ‘tibble’ was built under R version 3.4.3”Warning message:\n",
"“package ‘tidyr’ was built under R version 3.4.3”Warning message:\n",
"“package ‘purrr’ was built under R version 3.4.2”Warning message:\n",
"“package ‘dplyr’ was built under R version 3.4.2”Warning message:\n",
"“package ‘forcats’ was built under R version 3.4.3”── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──\n",
"✖ dplyr::filter() masks stats::filter()\n",
"✖ dplyr::lag() masks stats::lag()\n"
]
}
],
"source": [
"library(tidyverse)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Parsed with column specification:\n",
"cols(\n",
" .default = col_integer(),\n",
" person = col_character(),\n",
" method = col_character(),\n",
" Label = col_character(),\n",
" Media = col_character(),\n",
" Strain = col_character()\n",
")\n",
"See spec(...) for full column specifications.\n"
]
}
],
"source": [
"df <- read_tsv('data/gene_counts.txt')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"sid | person | method | Label | Media | Strain | gene0 | gene1 | gene10 | gene100 |
\n",
"\n",
"\t1 | J | MA | 1_MA_J | YPD | H99 | 1 | 0 | 13 | 425 |
\n",
"\t1 | J | RZ | 1_RZ_J | YPD | H99 | 0 | 0 | 14 | 261 |
\n",
"\t2 | C | MA | 2_MA_C | YPD | H99 | 0 | 0 | 10 | 491 |
\n",
"\t2 | C | RZ | 2_RZ_C | YPD | H99 | 10 | 0 | 18 | 251 |
\n",
"\t2 | C | TOT | 2_TOT_C | YPD | H99 | 1 | 0 | 0 | 14 |
\n",
"\t3 | J | MA | 3_MA_J | YPD | H99 | 0 | 0 | 8 | 280 |
\n",
"\t3 | J | RZ | 3_RZ_J | YPD | H99 | 0 | 0 | 7 | 168 |
\n",
"\t3 | J | TOT | 3_TOT_J | YPD | H99 | 0 | 0 | 2 | 35 |
\n",
"\t4 | P | MA | 4_MA_P | YPD | H99 | 1 | 0 | 16 | 571 |
\n",
"\t4 | P | RZ | 4_RZ_P | YPD | H99 | 0 | 0 | 1 | 74 |
\n",
"\n",
"
\n"
],
"text/latex": [
"\\begin{tabular}{r|llllllllll}\n",
" sid & person & method & Label & Media & Strain & gene0 & gene1 & gene10 & gene100\\\\\n",
"\\hline\n",
"\t 1 & J & MA & 1\\_MA\\_J & YPD & H99 & 1 & 0 & 13 & 425 \\\\\n",
"\t 1 & J & RZ & 1\\_RZ\\_J & YPD & H99 & 0 & 0 & 14 & 261 \\\\\n",
"\t 2 & C & MA & 2\\_MA\\_C & YPD & H99 & 0 & 0 & 10 & 491 \\\\\n",
"\t 2 & C & RZ & 2\\_RZ\\_C & YPD & H99 & 10 & 0 & 18 & 251 \\\\\n",
"\t 2 & C & TOT & 2\\_TOT\\_C & YPD & H99 & 1 & 0 & 0 & 14 \\\\\n",
"\t 3 & J & MA & 3\\_MA\\_J & YPD & H99 & 0 & 0 & 8 & 280 \\\\\n",
"\t 3 & J & RZ & 3\\_RZ\\_J & YPD & H99 & 0 & 0 & 7 & 168 \\\\\n",
"\t 3 & J & TOT & 3\\_TOT\\_J & YPD & H99 & 0 & 0 & 2 & 35 \\\\\n",
"\t 4 & P & MA & 4\\_MA\\_P & YPD & H99 & 1 & 0 & 16 & 571 \\\\\n",
"\t 4 & P & RZ & 4\\_RZ\\_P & YPD & H99 & 0 & 0 & 1 & 74 \\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"sid | person | method | Label | Media | Strain | gene0 | gene1 | gene10 | gene100 | \n",
"|---|---|---|---|---|---|---|---|---|---|\n",
"| 1 | J | MA | 1_MA_J | YPD | H99 | 1 | 0 | 13 | 425 | \n",
"| 1 | J | RZ | 1_RZ_J | YPD | H99 | 0 | 0 | 14 | 261 | \n",
"| 2 | C | MA | 2_MA_C | YPD | H99 | 0 | 0 | 10 | 491 | \n",
"| 2 | C | RZ | 2_RZ_C | YPD | H99 | 10 | 0 | 18 | 251 | \n",
"| 2 | C | TOT | 2_TOT_C | YPD | H99 | 1 | 0 | 0 | 14 | \n",
"| 3 | J | MA | 3_MA_J | YPD | H99 | 0 | 0 | 8 | 280 | \n",
"| 3 | J | RZ | 3_RZ_J | YPD | H99 | 0 | 0 | 7 | 168 | \n",
"| 3 | J | TOT | 3_TOT_J | YPD | H99 | 0 | 0 | 2 | 35 | \n",
"| 4 | P | MA | 4_MA_P | YPD | H99 | 1 | 0 | 16 | 571 | \n",
"| 4 | P | RZ | 4_RZ_P | YPD | H99 | 0 | 0 | 1 | 74 | \n",
"\n",
"\n"
],
"text/plain": [
" sid person method Label Media Strain gene0 gene1 gene10 gene100\n",
"1 1 J MA 1_MA_J YPD H99 1 0 13 425 \n",
"2 1 J RZ 1_RZ_J YPD H99 0 0 14 261 \n",
"3 2 C MA 2_MA_C YPD H99 0 0 10 491 \n",
"4 2 C RZ 2_RZ_C YPD H99 10 0 18 251 \n",
"5 2 C TOT 2_TOT_C YPD H99 1 0 0 14 \n",
"6 3 J MA 3_MA_J YPD H99 0 0 8 280 \n",
"7 3 J RZ 3_RZ_J YPD H99 0 0 7 168 \n",
"8 3 J TOT 3_TOT_J YPD H99 0 0 2 35 \n",
"9 4 P MA 4_MA_P YPD H99 1 0 16 571 \n",
"10 4 P RZ 4_RZ_P YPD H99 0 0 1 74 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df[1:10, 1:10]"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"options(repr.plot.width=4, repr.plot.height=3)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**1**. Plot a scatter plot of gene100 against gene 1001. Color points by the method used. Save the image as a PNG file 'fig1.png' in the 'figs' folder."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Saving 7 x 7 in image\n"
]
},
{
"data": {
"image/png": 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8woK9Q1FU1nD7iixHg+CZAACZBAxAlgPhh/ZQleMowlTmWdF+oYesMdOnQIddgn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\nAElFTkSuQmCC",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ggplot(df, aes(x=gene100, y=gene1001, color=method)) + \n",
"geom_point()\n",
"ggsave('figs/fig1.png')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**2**. Make a boxplot plot of gene100 counts by method."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Saving 7 x 7 in image\n"
]
},
{
"data": {
"image/png": 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gggEFKAABySiAwIIIAAAghEX4AAHH1T\ntogAAggggEBIAQJwSCIyIIAAAgggEH0BAnD0TdkiAggggAACIQUIwCGJyIAAAggggED0BQjA\n0TdliwgggAACCIQUIACHJCIDAggggAAC0RcgAEfflC0igAACCCAQUoAAHJKIDAgggAACCERf\noFL0NxmdLX7zzTeybt06qVGjhlx//fVStWpVvw3v2bNHVq9eLbVr15auXbtKZmam3/KcnBxZ\ntWqV6N9OnTpJs2bN/JYzgQACCCCAQCwFHHkG/NZbb8nPf/5z2bZtmyxdulT69+8vX3/9tc/p\njTfekGHDhsmWLVtk0aJF8vDDD8uJEyd8y3ft2iUDBgyQJUuWyKZNm2T48OHy2Wef+ZbzAgEE\nEEAAgVgLOC4AayB9+eWX5Ve/+pU89dRTMmPGDOnRo4fMnTvXWOmZr76ePn26PPPMM/LKK69I\nenq6LFy40Gc5efJkE7RnzZolEydONMF62rRp4vF4fHl4gQACCCCAQCwFHBeAly1bJk2aNJGe\nPXv6XEaPHi1jx44102vXrpVGjRpJ+/btzXSlSpWkd+/esnz5cjN97Ngx2bp1qzkDTkpKMvP6\n9esnBw4cMGfMZgb/IYAAAgggEGMBx/UB7927V5o3b276bzUYnzt3Tm6++Wbp27evoTp48KA0\nbtzYj00D8tGjR+XChQty6NAhs0znWalOnTqSlpYmR44ckbZt21qz5dSpU3Lffff5pvXFwIED\n5Sc/+YnfPCZKFlBfUmIIWD9qK1euLKmpqYlRaEopycn/f65WrVq1IuNt4CkqUFhYWHRmkDmO\nC8Dff/+9aJDdsWOH6Jnr7t27ZcqUKaaPd+jQoSbAVq9e3a8o+qbQ4KsBVdfVJmn9Z0+ax95P\nrMsUafPmzfZs0r17d75Y/ERCT/BFHNrIbTn0C9n6UnZb2ShP8QLa4kiKnoDjNDUo7tu3TxYv\nXiz169c3JdXgOW/ePLnrrrtMcCwoKPATsKarVKkSdLlm1u3qcnvSEdTaXG1P2dnZvrNo+3xe\nFy9gtToUn4MlbhHQH1tZWVly5swZ0c8KKTEE9CoUPfHRk5i8vLzEKHQZSpmSkiL16tULuQXH\n9QHXrVtX2rRp4wu+WoJu3brJ2bNn5fjx4+bDr5cW2ZN+EdSqVcuc9eqXgwZb/YKwJ83TsGFD\n+yxeI4AAAgggEDMBxwXgVq1ayeHDh/1GLH/77beiZ8Ha19iyZUtzeZJ11qty2oxs9QvrAC5t\nJrE3LetZrjZR2/uFYybOjhFAAAEEEPAKOK4JWvt9X3vtNXN5kQ6Q0j7gd955R2688UbRASB6\nSZJemjR//nxzeZEu18FaTzzxhKlQvXFHr169zKVKeiatwXj27NlmpLSeXTstaZ/3yZMnnXZY\nYR2P/qjRQXL2a7TDWtEhmfT9ULNmTYccDYeBAAKJJpDkvTbWcRfH6tnrs88+Kxqc9PD0Tljj\nx4/3DY5av369ub5Xm5kzMjLMJUd6sw0raT+FXv+7ceNG0yzdrl07efLJJ00fhpWnuL/aVJ2b\nm1vc4qjO16Z0HXV9/vz5qG6XjYUnoAFYxxqQwhew+oD1M0IfcPhu8Z7T6gPWbkD6gEPXZrh9\nwI4MwFbx9NIibXoOHNFsLdemav0SLW40pn5BKETgbSyt9YP9rcgArMd/5513StOmTU0/d7Dj\nYV75CLz//vty+vRp3/Xj5bMX922VAOy+Og2nRATgcJR+yBNuAHZcE/QPRRAz4Mo+HfjaGiUd\nON+aDrxcyZrvtL8/+tGP5Omnn3baYbn6eDZs2CB6v3ESAgggECsBxw3CihUE+0UAAQQQQKAi\nBQjAFanNvhBAAAEEEPi3AAGYtwICCCCAAAIxECAAxwCdXSKAAAIIIEAA5j2AAAIIIIBADAQI\nwDFAZ5cIIIAAAggQgHkPIIAAAgggEAMBAnAM0NklAggggAACBGDeAwgggAACCMRAgAAcA3R2\niQACCCCAAAGY9wACCCCAAAIxECAAxwCdXSKAAAIIIEAA5j2AAAIIIIBADAQIwDFAZ5cIIIAA\nAggQgHkPIIAAAgggEAMBAnAM0NklAggggAACBGDeAwgggAACCMRAgAAcA3R2iQACCCCAAAGY\n9wACCCCAAAIxEKgU6T7PnDkj27Ztk6NHj8q5c+ekatWqUqtWLbn88sulcuXKkW6O/AgggAAC\nCCSkQNgBeOPGjTJ16lRZvHix5OXlFcFKTU2V/v37y0svvSSNGjUqspwZCCCAAAIIIPCDQFgB\nePXq1dKzZ09JSkqSH//4x9K2bVupXbu2VK9eXXJycuT48eOydetWWbp0qTkTfvPNN6VPnz4/\n7IVXCCCAAAIIIOAnEFYAHjFihAm6y5cvlxo1avhtwD6Rm5srt956q/zud78jANtheI0AAggg\ngECAQMgAfOzYMXN2+/7775cYfHW72h/8m9/8Rrp16yZHjhyRevXqBeyOSQQQQAABBBBQgZCj\noDMyMqRKlSpha+Xn50thYWHQfuKwN0JGBBBAAAEEXC4Q8gxYg2/v3r1l3Lhxpn+3adOmxZLo\nWe8jjzwizZs3l5LyFbsBByzQfu5IfnCU5ZD1xw0ptgIVVdexLWX09p6SkmI2VqlSpQr7nETv\n6NlSaQXS0tLMqunp6WK9B0q7rURYz+PxhFXMkAFYt6LBd9CgQdKiRQvp3r276Q/OysoyTdLW\nICy9NGnFihVmoNbKlSvD2rlTM2kQrohUUfupiLLE6z6og8hqzu5lfx3ZVsgdrwJa59R79Gov\nrAB8zTXXyKZNm+TJJ58UHeH897//vcgRaED+xS9+IWPGjDFnwEUyxMkM/eWig8kqIuk11aTY\nClRUXce2lNHbu15uqGM9CgoKKuxzEr2jZ0tlEdD7POi9H4JdhlqW7bpx3XBbCcIKwAqUmZkp\n06dPN//2798vOjhLA0jdunWlYcOGNEe58V1EmRBAAAEEyk0g7ABsP4LGjRuL/iMhgAACCCCA\nQOkEIg7A3IqydNCshQACCCCAgF0g7ADMrSjtbLxGAAEEEECgbAJhBWBuRVk25FBr6x3Grrrq\nqlDZWB5FgbNnz0pycsjL4KO4RzaFAAII+AuEFYC5FaU/WrSndESp/iNVrAABuGK92RsCCPgL\nhAzA3IrSH4wpBBBAAAEEoiEQMgBzK8poMJe8jSZNmkjnzp1LzsTSqAposz/XAEeVlI0hgECE\nAiEDcKLdijJCv6hkv+KKK2TSpElR2RYbCU9g8+bN8s0334SXmVwIIIBAOQiEDMC6z0S7FWU5\nOLNJBBBAAAEE/ATCCsCJdCtKPx0mEEAAAQQQKCeBsAKw7ptbUZZTDbBZBBBAAIGEFAg7ANt1\nuBWlXYPXCCCAAAIIRC7AnQgiN2MNBBBAAAEEyixAAC4zIRtAAAEEEEAgcoGQTdBff/213HHH\nHRFvWZ8fTEIAAQQQQACB4AIhA7A+67devXry4Ycfmmf+XnnllcG3xFwEEEAAAQQQCFsgZADW\n0c9/+9vf5MEHH5TXXntNnnvuObn55pvD3gEZEUAAAQQQQKCoQFh9wJUqVZIZM2bIZZddJnff\nfbecO3eu6JaYgwACCCCAAAJhC4QVgHVraWlpMmfOHDl48KDMmjUr7B2QEQEEEEAAAQSKCoRs\ngravog8MKCwstM/iNQIIIIAAAgiUQiDsM+BSbJtVEEAAAQQQQKAYgYjOgAO38dVXX8mOHTuk\nWrVqcsstt8h3330nzZs3D8zGNAIIIIAAAggECJTqDHjLli1yww03SLt27WTQoEEyd+5cs1md\nnjBhguTl5QXshkkEEEAAAQQQsAtEfAacnZ0tffv2lfPnz8ujjz4qq1evNtvTvuHevXvLs88+\nK/v37zcDtuw74jUCCCCAAAII/CAQ8Rnwq6++KqdOnZI1a9bI1KlTpUmTJmZrKSkpsmDBAhk7\ndqy8/vrrkpub+8NeeIUAAggggAACfgIRB+D169dL9+7dpVmzZn4bsiaGDBkiBQUFsnv3bmsW\nfxFAAAEEEEAgQCDiJugqVarIF198EbCZHybPnDljJurUqfPDzDK80n2dPHlSevTo4beVPXv2\nmObv2rVrS9euXc3ziu0ZcnJyZNWqVaJ/O3XqVOwPBvs6vEYAAQQQQKCiBCI+A7722mvNyOe/\n/vWvRY5R+4cnTpwojRo1kgYNGhRZHumMw4cPy/jx42X58uV+q77xxhsybNgw0cFgixYtkocf\nflhOnDjhy7Nr1y4ZMGCALFmyRPShEMOHD5fPPvvMt5wXCCCAAAIIxFog4jPge++9V7QfeODA\ngdKlSxfRoJuRkSFDhw4VDcpnz56VhQsXlrlcFy5cMAO6kpKS/LalZ7466nr69OnSvn1709z9\n0EMPmX3qX02TJ0+W/v37y5gxY0TXnzdvnkybNs30UQduz2/jTCCAAAIIIFBBAhGfAet9oZct\nW2bOKj///HPZvHmzaZL+7//+b6lZs6bo2engwYPLfPhvvvmmCZ433XST37bWrl1rzrA1+GrS\n49HR19ZZ8rFjx2Tr1q3mDNgKtv369ZMDBw6YM2a/jTGBAAIIIIBAjAQiPgPW46xbt665zOiF\nF14QfV7w0aNHpVWrVuZfampqmYuyfft20QA8e/Zs+fOf/+y3Pb0XdePGjf3maZO3HoOeNR86\ndMgs03lW0v5ovZf1kSNHpG3bttZsOX78uAnevhneF/fdd5/cf//99lnl9prbepYbbdgbrl+/\nfth5yfiDgI4F0ZYvUmIJ6EkWKbSAXqYbTipVALY2rJVxzTXXWJNR+as38dBriUeOHBm0H1kD\nbPXq1f32pXfi0uCrl0dpgE5PTzf/7Jk0j72fWJclJydLrVq17NmkcuXKZlt+M8tpQo+ZFFsB\n6iByf/3ceDyeCvucRH6ErBFtAas1Uetd/5FKFgjXqFQB+C9/+Yvo2a/eelL7fIPtLDDYlXy4\nPyx9+eWXze0s+/Tp88NM2ys9w9bLnOzJmtZf5cGWa14929Tl9qQ/ID744AP7LNOn/f333/vN\nK68JPQPXpGfmH374YXnthu0GEdDR8Zoqqq6DHEJcztLPV1ZWlvnc6/gPUmIIVK1a1Zz46EkO\ndzoMXed6Xww9mQuVIg7AeuerO++80zQ/6a0n69WrZ/pqQ+0onOU66lkHcl1xxRXy2GOPmVW+\n/fZbyc/PN9OPP/64+fAHXmOsXwR6JqtnvvrloMFWL4eyB1zN07Bhw3AOo8LyaP+1pnXr1pl/\nFbZjdmQEaELljYAAArEUiDgAL1682ET2L7/8Ulq3bh3VY9cvxBEjRvhtU88S9a5al19+uTm7\nbdmypbz//vvmLNgKYDoQzOoX1jtz6XydZzWP66AsbWq09wv77SRGE9o3rT8q9Aw4HtNrr71m\nfvjoJV/xmC666KJ4PGyOGQEEXCIQcQDWPtaOHTtGPfiqp/bt3n333X602kSo/6z5ekOOGTNm\nyPz58821wHo2rKOyn3jiCbNejRo1pFevXuZSpTZt2phgrIO5dKS0Dh5zWtKnSMVr0gFy+iNC\nr8kmIYAAAghEJhDxZUgafPXs17rjVWS7K3tubWbWQVraVK1B9ZFHHjHXJOvdsKyk1wPrqOfb\nbrtNbr/9dhOER40aZS3mLwIIIIAAAjEXSPIOoIpoSJte7tOtWzdzo4vnnnvOBLpYlUL7jPWs\nVkdlBkva76ud4TqAINyk6/AgifC09Oy9RYsWMnPmzPBWIFfcC1iDsPQzop8VUmIIWIOwtEuQ\nQVih61zjjo6PCpUiboLW0boa9KZMmSIvvfSSeRpSsAC3cePGUPsu8/JQ13AGXq5U5h2yAQQQ\nQAABBKIkEHEA1suL9BeQNcApSsfBZhBAAAEEEEgogYgD8AMPPCD6j4QAAggggAACpReIOADb\nd/XVV1+ZJyPpXaa0P1BvzNG8eXN7Fl4jgAACCCCAQBCB4KOXgmS0z9LHAN5www2iN+IYNGiQ\nueRHl+v0hAkT6KS3Y/EaAQQQQACBIAIRnwHryMe+ffuK3mz60UcfFb0zlia9+5ReFqSXCO3f\nv988rCHI/piFAAIIIIAAAl6BiM+A9VnAej/QNWvWyNSpU80oaJXUYdcLFiyQsWPHyuuvv86l\nPLy9EEAAAQQQKEEg4gC8fv166d69uzRr1izoZocMGWJuExl4v+agmZmJAAIIIIBAggpEHID1\nAQfaB1xcsu6QpbcoJCGAAAIIIIBAcIGIA/C1115rRj7rrSADk/YPT5w40Tz0oEGDBoGLmUYA\nAQQQQACBfwtEPAjr3nvvFe0HHjhwoHTp0sXcjk6fYjR06FBzf2Z9PvDChQsBRgABBBBAAIES\nBCIOwPqoP3360Lhx40QfR6eP+dP0xRdfmOftanAePHhwCbtkEQIIIIAAAghE3AStZHov6Dlz\n5sixY8dk7dq1JiBv27bN3IjjZz/7GaoIIOBSgT179og+beztt992aQkpFgIVJxDxGbD90GrW\nrMk9oe0gvEbA5QI5OTmiD2Rp2LCh3HTTTS4vLcVDoHwFSnUGXL6HxNYRQAABBBBwv0DEAVjv\ndFW5cuVi/+mArKysLLnsssvk/vvvF31+JAkBBBBAAAEE/AUiDsDXXXedueezPpKwTZs2ZvTz\niBEjTHOU3o4yKSnJ3CdaL0PSfmJtpjp69Kj/XplCAAEEEEAgwQUiDsC1a9eWf/3rXzJz5kzR\nu2JpkP3DH/5gBmLp/MzMTPNkpI8++kg++eQT2blzp8ybNy/BmSk+AggggAAC/gIRB+D58+fL\nVVddFfSZwNrs/Mgjj5iArLvp1q2b3Hjjjea+0f67ZQoBBBBAAIHEFog4AB86dMj08RbHpiOj\n9+7d61vcunVr2bdvn2+aFwgggAACCCBQiqch3XzzzbJy5UpzO8pAQH1Eod6cQ58LbKWPP/7Y\nPLzBmuYvAggggAACCIhEfB3wrbfeKk899ZR07txZRo0aJe3bt5e0tDTT16v9wnpDjnfffdfc\nIatPnz7mDllTpkzBGgEEEEAAAQRsAhEHYL0Llt52Uh87+Mwzz9g2JdKiRQvzTOBbbrlF9HGE\nq1atkkcffdSMivbLyAQCCCCAAAIJLhBxAFYvDcLaDK2XF+lI6CNHjsjFF18sHTp0MGfDmqdp\n06aid83Ry5JICCCAAAIIIOAvUKoAbG1Cb7jRs2dPa9Lvb0pKit80EwgggAACCCDwg0DEo6B/\nWJVXCCCAAAIIIFBagTKdAZd2p05eLzk5WapVq+bkQ3TcseHluCoptwPS29Bq4nNSbsSO3HBq\naqo5Lr3VsA66JZUs4PF4Ss7w76UE4AAmhSsoKAiYy2RJAnr5GSkxBPR2s5r0c0K9J0adaymt\nLkWtf+o9evVOAA6w1C+Wc+fOBcxlsiQBvErScdcy68uXz4m76jVUaTQA69lvfn6+6HMASCUL\nWD9YSs5VihtxhNogyxFAAAEEEEAgtACDsEIbkQMBBBBAAIGoCxCAo07KBhFAAAEEEAgtQAAO\nbUQOBBBAAAEEoi5AAI46KRtEAAEEEEAgtAABOLQRORBAAAEEEIi6AJchRZ00cTa4du1a0esC\ns7OzE6fQlBQBBBCIkgABOEqQibiZ9PR0blqSiBVPmRFAICoCNEFHhZGNIIAAAgggEJkAZ8CR\neZEbgagIXLhwQfRfvCXrVpR67PF4y1Z9PGq4dymKt7rheONPIMl7S7nw7hodf2Ur1RFrf2Zu\nbm6p1k20lRo0aGC+hPW50KTwBTZt2iT/+Z//GZcBLPxSOjfn4MGD5ec//7lzD9CBR1a1alWp\nXr26HD9+nFtRhlE/+iOvXr16IXNyBhySiAwIRFdg3759Jvg2a9ZM6tatG92Ns7ViBfTsfcOG\nDbJ79+5i87AAgYoUIABXpDb7QsAmMHz4cLnrrrtsc3hZngI5OTnSsWPH8twF20YgIgEGYUXE\nRWYEEEAAAQSiI0AAjo4jW0EAAQQQQCAiAQJwRFxkRgABBBBAIDoCBODoOLIVBBBAAAEEIhIg\nAEfERWYEEEAAAQSiI0AAjo4jW0EAAQQQQCAiAQJwRFxkRgABBBBAIDoCBODoOLIVBBBAAAEE\nIhIgAEfERWYEEEAAAQSiI0AAjo4jW0EAAQQQQCAiAQJwRFxkRgABBBBAIDoCBODoOLIVBBBA\nAAEEIhIgAEfERWYEEEAAAQSiI0AAjo4jW0EAAQQQQCAiAcc+jvDAgQPy6aefij7YuGvXrtKo\nUSO/gu3Zs0dWr14ttWvXNsszMzP9luujx1atWiX6t1OnTqLPXiUhgAACCCDgFAFHngH/+te/\nlnvuuUd27Nghy5Ytk2HDhsmaNWt8Zm+88YaZt2XLFlm0aJE8/PDDcuLECd/yXbt2yYABA2TJ\nkiWyadMm0eeufvbZZ77lvEAAAQQQQCDWAo47A96+fbt88sknsnjxYqlXr57xmThxorz00kvS\npUsX0TPfuXPnyvTp06V9+/ZSUFAgDz30kCxcuND81RUmT54s/fv3lzFjxkhSUpLMmzdPpk2b\nJgsWLDDTsUZn/wgggAACCDguAOuZ7H333ecLvlpFHTp0kI8++kg8Ho+sXbvWNEdr8NVUqVIl\n6d27t7z55psmAB87dky2bt0qjz/+uC/Y9uvXT2bPni16xty2bVuznv6n29MmanvKz8/3rWef\nz+viBfRHDil8AbzCtyqvnNRBZLKWl/61Xke2hcTKHa6R4wJw586dRf/Z08qVK6VNmzam4g8e\nPCiNGze2LzYB+ejRo3LhwgU5dOiQWWbvM65Tp46kpaXJkSNH/ALw8ePHTf+xfWMjR46U0aNH\n22fxugSB1NRUadCgQQk5WBQoUKNGjcBZTFegQHp6Ou/ZUnrXqlWrlGsm1mp6IhdOclwADjxo\nbVreuHGjzJw50yzSAFu9enW/bNWqVTPB99SpU6IBWj9g+s+eNI+9n1iXaVC+4YYb7NmkSZMm\ncu7cOb95TAQXUGNtRQj3zRZ8K4k39/z584lXaAeVWH+o8xmPrEJ0MKz+2NbPuvqRShYoLCw0\n8aXkXN4W3FAZYrn8T3/6k8yfP18mTZokl156qTkUfRNov689WdNVqlQxbxJr2p5HQXS5PWlQ\nnjVrln2WZGdnFwnUfhmY8Anoma+6Bv6w8WXgRVCB3NxcM3/v3r2yYcOGoHmYGX2BM2fOmI3q\nDyDes5H5Vq1a1Xy3nj59WvLy8iJbOQFz6w8WNQuVHBmA9RfWCy+8ICtWrJCpU6eaPmCrIFlZ\nWbJ7925r0vzVoKlNI3pGpss1KOiHzR5wNU/Dhg391mMCgVgKzJkzR/QfCQEEElPAkZchPfvs\ns+ayoxkzZvgFX62ili1byrZt2/zOgjdv3uzrF9YmZB2YpfOspIOyNKjb+4WtZfxFAAEEEEAg\nFgKOC8DvvfeeOfPV64B1hLL2/1r/9My2R48exkmbpjWo7ty503etsC7QAS69evUylyppc4n2\n9egIaB0pXbdu3VgYs08EEEAAAQSKCDiuCVpvnqFpypQpRQ72gw8+MM3Keoas1wZrEM7IyJCB\nAwf6jWbW64J1+W233Waapdu1ayejRo0qsj1mIBBLgUGDBsl1110Xy0NIqH3rj/Fx48YlVJkp\nrLMFHBeAw+kT0+uC3377bTl8+LA5q01O9j+R1/7gF1980QyoCrcz3NnVxNG5UUCvSe/Tp48b\ni+bIMgVe8+/Ig+SgEkrAcQE4Ev369euXmD3wcqUSM7MQAQQQQACBChTwP3WswB2zKwQQQAAB\nBBJZgACcyLVP2RFAAAEEYiYQ103QMVNjxwhEQUCf8MUdmaIAGeYmuIFEmFBkqzABAnCFUbMj\nBP5foHLlyuaFjurXf6SKFbD8K3av7A2BogIE4KImzEGgXAWuv/56ef755+PyHtoHDhyQV199\nVbp16+a7Jr9cscph41dccUU5bJVNIhC5AAE4cjPWQKBMAnppXNeuXcu0jVitvGPHDhOAmzVr\nJt27d4/VYbBfBFwhwCAsV1QjhUAAAQQQiDcBAnC81RjHiwACCCDgCgECsCuqkUIggAACCMSb\nAAE43mqM40UAAQQQcIUAAdgV1UghEEAAAQTiTYAAHG81xvEigAACCLhCgADsimqkEAgggAAC\n8SZAAI63GuN4EUAAAQRcIUAAdkU1UggEEEAAgXgTIADHW41xvAgggAACrhAgALuiGikEAggg\ngEC8CRCA463GOF4EEEAAAVcIEIBdUY0UAgEEEEAg3gQIwPFWYxwvAggggIArBAjArqhGCoEA\nAgggEG8CBOB4qzGOFwEEEEDAFQIEYFdUI4VAAAEEEIg3AQJwvNUYx4sAAggg4AoBArArqpFC\nIIAAAgjEm0CleDvg8j7e5ORkqVWrVnnvxjXbT0lJwcs1tRm6IFWqVDGZqPfQVm7KofWtKTMz\nU6z3gJvKF+2yFBYWhrVJAnAA04ULF+T06dMBc5kMJpCeni54BZNx77y8vDxTOOrdvXUcrGQZ\nGRmSmpoq586dk/z8/GBZmGcTSEpKkqpVq9rmBH9JAA7icv78+SBzmRVMwOPxCF7BZNw5z/pl\nT727s36LK1VaWppZVFBQwOe9OCTbfKvFwDYr6Ev6gIOyMBMBBBBAAIHyFSAAl68vW0cAAQQQ\nQCCoAAE4KAszEUAAAQQQKF8BAnD5+rJ1BBBAAAEEggoQgIOyMBMBBBBAAIHyFSAAl68vW0cA\nAQQQQCCoAAE4KAszEUAAAQQQKF8BrgMuX1+2joCrBFq0aCHz5s2TGjVquKpcFAaBWAgQgGOh\nzj4RiFMBvbtP586dJTc3V7Kzs+O0FBw2As4QoAnaGfXAUSCAAAIIJJgAATjBKpziIoAAAgg4\nQ4AA7Ix64CgQQAABBBJMgACcYBVOcRFAAAEEnCFAAHZGPXAUCCCAAAIJJkAATrAKp7gIIIAA\nAs4QIAA7ox44CgQQQACBBBMgACdYhVNcBBBAAAFnCBCAnVEPHAUCCCCAQIIJEIATrMIpLgII\nIICAMwS4FaUz6oGjQAABBBwrcPz4cdm/f79kZmZKpUqEjWhVFGfA0ZJkOwgggIBLBd555x25\n/fbb5csvv3RpCWNTLH7KxMY97veal5cn69evl+TkZMnKypKUlJS4LxMFQKA8BU6ePCn//Oc/\n5cKFC+W5m3LZ9rZt28x2161bJydOnCiXfZTnRvWsvVu3bpKenl6eu4l42wTgiMlY4b333pPp\n06fL+fPnxePxSLVq1eTXv/61dOzYERwEEChGYO7cubJ06dJilsbH7IULF8bHgQY5ylGjRsmP\nf/zjIEtiN4sAHDv7uNzz559/LlOmTPH7FX/q1Cl57LHHZM6cOaLPiyUhgEBRAW010tShQwfJ\nyMgomoE55SJw7Ngx2b59u+Tn55fL9suyUQJwWfQScF19GHtxTWiLFi2S//qv/0pAFYqMQPgC\n2nVDQkAFGITF+yAigb179wbNX1hYKDt37gy6jJkIIIAAAkUFXBuAc3Jy5P3335fFixfLnj17\nipacOaUS0AFXwVJSUpI0bNgw2CLmIYCAV6B169ainxNSxQvoYNFWrVpV/I5D7DHJO4jGEyJP\n3C3etWuX3HfffQa8cePGsmrVKnnuueekc+fOIcuSnZ0tubm5IfMlaoZly5bJCy+8IHrGa0/6\nxaIDs6688kr7bF67TCA1NdWMetfPiH5WSJEJaPdNcV04kW2pYnNXrVpVqlevLno9sNWXXbFH\nULa9aQDWfxWV9KqQevXqhdydK/uAJ0+eLP3795cxY8aYX5zabzlt2jRZsGABv0BDviVKztC3\nb1/ToqCjIXVIv/5+KygoMNYE35LtWIpARQeCaInrZTzWv8Af39HaRyJux3UBWEe8bd26VR5/\n/HFfsO3Xr5/Mnj1btmzZIm3btk3Eeo5qmR966CG57bbbZPfu3eZX5SWXXCJ16tSJ6j7YGAII\nIOB2AdcF4EOHDpk6a9Soka/uNDikpaXJkSNH/AKwnrlZF5hbmatUqWKaWqxp/gYX0MuNrr76\natMUrTcYICWGgHUbQj2T0+ZoUmIIWDfa0fqPxyb0iq6lcPv6XReADx48aJpGA+94ojeLCLyD\ni16/Gnhh9siRI2X06NEVXV9xuz/9QBY3MCtuC8WBhxTQ61i5ljUkk+syaD8wKbRAuNccuy4A\n669yPbMNTNpvoWe39lS5cmUZOnSofZa0adOGQVh+IsVPqKf+Gj537lzxmVjiKgE989XAq3dB\nC/dLxlUACVoY/V7VVkT9rNMHHPpNoN+L6hUquS4A69mYvkHOnDnjF3B1xGbgZTI6sm/ChAl+\nRpqP0Z1+JMVOWAEYr2KJXLdAv4g1AGvwpd5dV73FFki/KzWg6PdqPI6CLrZg5bRAm+y11TVU\nqrhx2aGOJErLmzRpYkbrbd682bdFHZSlv0js/cK+hbxAAAEEEEAgBgKuC8A1atSQXr16id74\n/PTp06bJREdA9+7dW+rWrRsDYnaJAAIIIIBAUQHXBWAtol4mo80leqmMPsNSBwrpkzBICCCA\nAAIIOEXAdX3AClurVi158cUXTR+VtsVr/wUJAQQQQAABJwm4MgBbwAyZtyT4iwACCCDgNAFX\nNkE7DZnjQQABBBBAIFDAlQ9jCCxkJNN6nRvD7MMT+9///V/JzMyU7t27h7cCueJeQG9m88kn\nn8hFF10kP/rRj+K+PBQgPIGvv/7a3Mq3U6dO0qBBg/BWSuBcer18OJchuboJujT1rzfn0H+k\n0AK//e1vRW9JOWDAgNCZyeEKAb3/96RJk+Tuu++W6667zhVlohChBdatWye///3v5Y9//KNc\neumloVcgR1gCNEGHxUQmBBBAAAEEoitAAI6uJ1tDAAEEEEAgLAECcFhMZEIAAQQQQCC6AgzC\niq5nQm1t165d5pF0evtPUmII6ADFffv2Sc2aNXkGdGJUuSmlPnJUn7WuA7C4r0L0Kp4AHD1L\ntoQAAggggEDYAjRBh01FRgQQQAABBKInQACOniVbQgABBBBAIGwBrgMOmypxMh46dEiWLVsm\n6enpMnTo0CIFP378uLz99ttSv359ufXWW/2Wnz17Vt58801zrSDXifrRxMWEVbf2g9WHmWhd\n6803Lr74Yt+id999Vw4fPuybtr/QvsK+ffvaZ/HaIQL6pDiPx1Ps0dx4443SsmVL3/JVq1aZ\nm3B8//33csUVV8jVV1/t92jXjz76SHbu3OnLH/hCt6XbJBUVIAAXNUn4ORqA9UOqSe98Y//S\n1XkrVqwwy9u2bVskAOuHccGCBVKlShWzrn55k+JHQAOw1n3Hjh19d/LJz8+XhQsXSk5Ojnmq\n2KBBg0yBvvnmmyJfvPrc7Q0bNpj1CcDOrPevvvrKPB9dj27//v2idzez39XsqquuMgd+6tQp\nef755+WLL76Qzp07S1ZWlvzlL3+R3/3ud/LAAw/IsGHDTL7vvvtONm7caF6fOXNGtm3bJpdd\ndpn5DtCZSUlJZhn/FRXg27GoCXP+LdC0aVP58MMPiwTglStXmg9jMCi9PeWQIUNk0aJF8o9/\n/IPbVAZDioN5+gXbpk0b35FqYP3Nb34js2bNkjvuuMM84nPMmDG+5daL6dOnmy/gkSNHWrP4\n6zCBadOm+Y7olVdeEf3RrPUWmHSe3vlMf5A1a9bMt1i/E5566ikzEl4f+ap3RdN/mrZv3y4j\nRoyQX/3qV3LJJZf41uFFcAH6gIO7MNcrcNNNN5kAbMc4cOCA6OVHXbp0sc82r/fu3Sv66/qG\nG24w/7SZmuQOAb237fXXXy/axaCXowRLWt9LliyRJ554osiPtmD5medcAQ2ky5cvl9GjR/sF\nXz1ibU7WH9kzZ850bgHi5MgIwHFSUbE4TH3IgjZRaVOjlf7+979Lt27dTP+wNc/6q/3G2t+j\nTda9e/cWvX/snj17rMX8jWOB7Oxs0/yo3Q7aHxyY/vWvf5lncGuzJP19gTrxN71582bRZ6lr\n03OwpF1T2kSt14STSi9AAC69nevXrFWrlnTo0MHvLFj7f3v06FGk7IWFhfLee+/5Bt7oejoQ\n55133imSlxnOF9Cz2DvvvNP869+/v2hTo/br//KXvyxy8EePHpXx48fLtddea5ofi2RgRtwJ\naGuW/tDSIBwsWeNCtL+XVHoBAnDp7RJiTXsztA620JGQ+kUbmD7//HPTNJmRkSGffvqp6f9t\n1aqVGU3N4x0DtZw/PXDgQHnwwQdNU6MG3muuucYEWeuL1yrB+fPn5cknnzR3R5owYYJoUzUp\n/gX0TmclfW61K0JTnTp14r+wMSwBn5YY4sfDrv/jP/5DtN9Xm6F18JU2Swcb2ayXpFSvXl3e\neustmT17tvmno6l15Kw2W5PiS0BHQeuPLx1w9fLLL5v6f/rpp32jZ63S6IAe/WGmA7T02dAk\ndwjo5Uba168jpIOlb7/91pwd2wfqBcvHvJIFCMAl+yT80ho1apjr/nTkowbSYM3P+iHVawV1\nwMa8efP8/uklDQzGiu+3kZ7ljBs3TtasWSPz58/3FWbp0qWio971zNc+StaXgRdxK3D55Zeb\ns1v9MR2YtLvpT3/6k7kmmGenB+pENs1lSJF5JWRuPROaMWOGOfNt165dEYO//e1v5qEMOvo5\nMOmNOp599ln5+uuvpXXr1oGLmY4TAR2Mc8stt8hrr71mWkG0CfLFF180A6705vzWdaBWcbSV\nRAdskeJTQAPr1KlT5Re/+IVoN8PgwYPNmA694YZeunTu3DmzPD5L55yjJgA7py4ceyQaWPXD\nqP2Cwfr4tPlZm6q1/zcw6XxtptSzYL02kBS/AqNGjRLt69cbMfTp00cKCgpMq0iwLoZq1aqZ\n/v/4LS1Hrv39+rnXa/q1dUu7k7Q1RFu1Jk6cKDpIk1Q2AZ6GVDY/1kYAAQRcL6A3YtHR7vXq\n1XN9WSuygATgitRmXwgggAACCPxbgEFYvBUQQAABBBCIgQABOAbo7BIBBBBAAAECMO8BBBBA\nAAEEYiBAAI4BOrtEAAEEEECAAMx7AAEEEEAAgRgIEIBjgM4uEUAAAQQQIADzHkAAgYgF9E5Y\neg/oM2fORLxupCscPnzYPBYz0vXIj4DTBQjATq8hjg8BBwjo837t9wXWe4O3aNFCPvjgg3I/\nup/97GfmGdTlviN2gEAFCxCAKxic3SEQjwJXX321uQ1lPB47x4yAUwUIwE6tGY4LAQcJ6H2f\nSQggEF0BHsYQXU+2hkCFCrz66qtSu3Zt00T7+uuvy5dffin6xCpttm3atKl5hODixYvN02t+\n+tOfynXXXSdJSUm+Y9TAOnfuXFm7dq3pz+3QoYPcf//9oo+h1KT9r3/84x/F4/HIunXr5Kmn\nnpIRI0b41tcX2gz9zjvvSHZ2tuhTk+655x7RJyTZ0z//+U9ZuHCh7Nq1yzRd68Mcgj3a8siR\nI/I///M/5iEPLVu2NNuyb4fXCLhKwPvBIiGAQJwKXHPNNR5vUPV4g5WnVatWHu+D1D3eLyiP\n91GAHu8zWz3exwJ6vEHVLNf53sfL+UrqDXaejh07mvyXXHKJ5/bbb/fUrFnT07x5c8/mzZtN\nPu/j5zzdu3c3eRo2bGheb9q0yeN9ApaZ5w24ntTUVHMMulz3ceONN3ry8vJ8+/E+jtLjDfrm\n+AYNGmSOTfM9+OCDvjz64vvvvzf79j5JyTNgwACPbtv748Lj7Ws2//wyM4GACwT0ly0JAQTi\nVEADsAazX/7yl74SjB8/3szTQOY98zTz8/PzPd5+XI/3zNSXb/jw4SbfW2+95ZvnHdns0UB6\n/fXX++bpCw2g3jNf3zwrAHsfT+fZtm2bme89m/YMHTrUbHPNmjVm3qpVqzzeR1h6hgwZ4tFj\n0OR9so5n7NixJt+CBQvMPP2vZ8+eHu+Zt2f79u2+eb/97W9NPg3CJATcJkAfsPfbi4RAPAto\nk7L3LNNXhL59+5rX3qAn3jNc89p7lmqan3Nzc+XYsWNy8uRJ0/TcpUsXueOOO3zrNmvWTLSp\n+tNPP5WvvvrKN7+4Fw899JBceumlZnFKSorceeed5rU3KJu/3rNw0fnTp08XPQZNeryTJk0y\nj7b7wx/+YOZp8/WKFStM87f3bNzM0/8effRR0WMiIeBGAfqA3VirlCmhBBo1aiSVK1f2lblu\n3brmtbcp2TdPX1j9uoWFheJtWjb9uhr4Bg8e7Jdv3759ZnrHjh1y5ZVX+i0LnLAHS13WunVr\nk0WDvKatW7eKHkfgc2T1eLWvev369SafBnvv2U2R/Wnw1nx6GRQJAbcJEIDdVqOUJ+EEvM3A\nQcvs7f/1m68Bzkr6cHVNGRkZ4m0itmabv3rGqf+8Tdh+84NNhMqjgbh69erBVpXMzEw5f/68\nWWYFbJ0XmHSQGQkBNwr4f0LdWELKhAACfgIaiL0Dtsw8PYOdP3++33I9Q9Yzz2ikiy66qNjr\nh3fv3i3t27c3u7H+7tmzp8huDxw4UGQeMxBwg4D/T183lIgyIIBASAENwA0aNJC//vWv5vIh\n+wregVTiHQ1tbjVpzdeA7B1EZU2G/Vcve9Kz26VLl/qto03PGzZsEL3sSZM2U9evX1/0Uip7\n0uCr/dEkBNwoQAB2Y61SJgRCCOiAqClTpoje09l7+ZF8/PHHotfq6qAnvV539OjRJiham6lV\nq5bo7Sf1muC9e/das0P+feSRR8x27rnnHpkzZ47pE9brkm+77TbR63x1f1aaNWuWCcp33XWX\nueZY99evXz/RM3ISAm4UoAnajbVKmRAIQ0Bv1pGWliYaJL3X+po1tN/Ye3mSeC9l8tuCTj/+\n+OMycuRIqVKlSpFBVX6ZbRPax+y9FEm81/zKAw88IN5LkMxNOryXOcnMmTOlSZMmvtwalDUI\ney89MqO39az73nvvFe81zfKPf/zDl48XCLhFIEmvq3JLYSgHAgiUTuDQoUOmqdh7vW2Ru1hZ\nW9Qz0ePHj0tWVpbf3bSs5aH+6tm29vtefPHFvkuSiltH8+l+gg3KKm4d5iMQbwIE4HirMY4X\nAQQQQMAVAvQBu6IaKQQCCCCAQLwJEIDjrcY4XgQQQAABVwgQgF1RjRQCAQQQQCDeBAjA8VZj\nHC8CCCCAgCsECMCuqEYKgQACCCAQbwIE4HirMY4XAQQQQMAVAgRgV1QjhUAAAQQQiDeB/wPd\nc/Xb8nK4EAAAAABJRU5ErkJggg==",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ggplot(df, aes(x=method, y=gene100)) +\n",
"geom_boxplot()\n",
"ggsave('figs/fig2.png')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**3**. Make a jitter plot of gene100 counts by Media and color the points by method. Set the jitter width to be 0.2."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Saving 7 x 7 in image\n"
]
},
{
"data": {
"image/png": 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4VDxvJ0Mfv6Z8V32223yXTlP44Jz8LTv23atFGSVV/tlSVnaCx2cLCwkmfhaHhc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\ncl8EREAERMAmgT+OskVusFEEogAAAABJRU5ErkJggg==",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ggplot(df, aes(x=Media, y=gene100, color=method)) +\n",
"geom_jitter(width=0.2)\n",
"ggsave('figs/fig3.png')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**4**. Make a grid of histograms of counts for gene100, with rows showing the person and columns showing the method used."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Saving 7 x 7 in image\n"
]
},
{
"data": {
"image/png": 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pTwXY6mdEocOJr8ReOBf+iEj0w0DNN5OFzhVw86KHkGP8mXXLMdpax85QqFG2Yc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",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ggplot(df, aes(x=gene100)) +\n",
"facet_grid(person ~ method) +\n",
"geom_histogram(binwidth=50) \n",
"ggsave('figs/fig4.png')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**5**. Make a row of boxplots of log counts of the top 5 genes where each colum shows a differnt method.\n",
"\n",
"**Warning**: This is difficult and involves quite a bit of data processing. It involves techniques of data manipulation that will covered later in the course."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Warning message:\n",
"“package ‘bindrcpp’ was built under R version 3.4.4”"
]
}
],
"source": [
"genes.top5 <- df %>% \n",
"select(starts_with('gene')) %>% \n",
"summarize_all(mean) %>% \n",
"gather() %>% \n",
"arrange(desc(value)) %>%\n",
"head(5)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"key | value |
\n",
"\n",
"\tgene1139 | 884531.49 |
\n",
"\tgene1136 | 484816.47 |
\n",
"\tgene7418 | 132744.71 |
\n",
"\tgene363 | 62325.08 |
\n",
"\tgene7387 | 45986.86 |
\n",
"\n",
"
\n"
],
"text/latex": [
"\\begin{tabular}{r|ll}\n",
" key & value\\\\\n",
"\\hline\n",
"\t gene1139 & 884531.49\\\\\n",
"\t gene1136 & 484816.47\\\\\n",
"\t gene7418 & 132744.71\\\\\n",
"\t gene363 & 62325.08\\\\\n",
"\t gene7387 & 45986.86\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"key | value | \n",
"|---|---|---|---|---|\n",
"| gene1139 | 884531.49 | \n",
"| gene1136 | 484816.47 | \n",
"| gene7418 | 132744.71 | \n",
"| gene363 | 62325.08 | \n",
"| gene7387 | 45986.86 | \n",
"\n",
"\n"
],
"text/plain": [
" key value \n",
"1 gene1139 884531.49\n",
"2 gene1136 484816.47\n",
"3 gene7418 132744.71\n",
"4 gene363 62325.08\n",
"5 gene7387 45986.86"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"genes.top5"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\t- 'gene1139'
\n",
"\t- 'gene1136'
\n",
"\t- 'gene7418'
\n",
"\t- 'gene363'
\n",
"\t- 'gene7387'
\n",
"
\n"
],
"text/latex": [
"\\begin{enumerate*}\n",
"\\item 'gene1139'\n",
"\\item 'gene1136'\n",
"\\item 'gene7418'\n",
"\\item 'gene363'\n",
"\\item 'gene7387'\n",
"\\end{enumerate*}\n"
],
"text/markdown": [
"1. 'gene1139'\n",
"2. 'gene1136'\n",
"3. 'gene7418'\n",
"4. 'gene363'\n",
"5. 'gene7387'\n",
"\n",
"\n"
],
"text/plain": [
"[1] \"gene1139\" \"gene1136\" \"gene7418\" \"gene363\" \"gene7387\""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"genes.top5$key"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Saving 7 x 7 in image\n"
]
},
{
"data": {
"image/png": 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PohBISAEBACfyIwefJk89JLL1m/+T+v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",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df %>% \n",
"select(c('method', genes.top5$key)) %>%\n",
"gather(gene, count, -method) %>%\n",
"mutate(logcount = log(count)) %>%\n",
"ggplot(aes(x=gene, y=logcount)) +\n",
"geom_boxplot() + \n",
"facet_wrap(~ method) +\n",
"theme(axis.text.x = element_text(angle = 90, hjust = 1))\n",
"ggsave('figs/fig5.png')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "R",
"language": "R",
"name": "r"
},
"language_info": {
"codemirror_mode": "r",
"file_extension": ".r",
"mimetype": "text/x-r-source",
"name": "R",
"pygments_lexer": "r",
"version": "3.4.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}