X_Songbird_plot.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "library(phyloseq)\n",
    "library(ggplot2)\n",
    "library(dplyr)\n",
    "library(ggpubr)\n",
    "library(viridis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "songbird_results = read.csv(\"/home/holutz/projects/skin_project/Songbird/Differentials_for_plotting/songbird_results_w_taxa.csv\")\n",
    "\n",
    "#Filter to just one of the four host taxa I have in my dataset\n",
    "#For me, positive values are associated with ectoparasitism, negative values with non-ectoparasitism\n",
    "hcaffer = subset(songbird_results, Host==\"Hcaffer\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Qp2VatWffLJJ2+++ebp06dnZGTEcdy2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\n7AAAAAAYAoUdAAAAAEP8H9KfHbl0HwEeAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = ggplot(hcaffer, aes(x = reorder(Taxon_OTU, -Ecto_pos), y = Ecto_pos, fill=Rank2)) + geom_bar(stat=\"identity\")\n",
    "                               \n",
    "#Option to add labels to each bar\n",
    "#p = p + geom_text(aes(label=Shared), position=position_dodge(width=0.9), vjust=-0.25)\n",
    "\n",
    "#Option one for filling with colors from the 'viridis' library\n",
    "#p = p + scale_fill_viridis(option=\"magma\", discrete=TRUE, direction=-1) \n",
    "\n",
    "\n",
    "#Option two for specifying two colors for column where I specify 'Taxon A' (e.g. \"Actinobacteria\") vs 'other'\n",
    "#p = p + scale_fill_manual(values=c(\"Orange\",\"Gray\"))\n",
    "\n",
    "#Option three for specifying n = 4 colors, for column with four values. You can customize these as much as you want\n",
    "#p = p + scale_fill_manual(values=c(\"#273253\",\n",
    "#                                    \"#ED5C4D\",\n",
    "#                                    \"#F4E9DA\",\n",
    "#                                    \"#FBBE4B\")\n",
    "\n",
    "p = p + theme_bw() + theme(text=element_text(size=10, color=\"black\",family=\"Calibri\"),\n",
    "                           #legend.key = element_blank(),\n",
    "                           #axis.text.x = element_text(angle = 90, hjust = 1),\n",
    "                           axis.text.x = element_blank(),\n",
    "                           plot.title = element_text(hjust = 0.5),\n",
    "                           legend.position = \"bottom\",\n",
    "                           #axis.title.y=element_blank(),\n",
    "                           panel.grid.major = element_blank(),\n",
    "                           panel.grid.minor = element_blank())\n",
    "\n",
    "#Option to trunacte x-axis labels to specified number of characters\n",
    "#p = p + scale_x_discrete(label = function(x) stringr::str_trunc(x, 35))\n",
    "\n",
    "p\n",
    "\n",
    "#Save image with desired specifications to desired location\n",
    "#png('/home/holutz/projects/skin_project/ANCOM/ancom.actino.labels.png', width=12, height=12, units='in', res=500)\n",
    "#plot(p)\n",
    "#dev.off()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If I want to focus on a particular bacteiral group, I can use the following code to add a new column to my imported data, copying one column and replacing values... so basically with the command mutate, I am saying \"Copy column Rank4 and call it 'Actino'\", then the subsequent lines say \"call anything that is not 'o__Actinomycetales' 'other'\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>Other</li><li>Other</li><li>Other</li><li>Other</li><li>Other</li><li>&lt;NA&gt;</li></ol>\n",
       "\n",
       "<details>\n",
       "\t<summary style=display:list-item;cursor:pointer>\n",
       "\t\t<strong>Levels</strong>:\n",
       "\t</summary>\n",
       "\t<style>\n",
       "\t.list-inline {list-style: none; margin:0; padding: 0}\n",
       "\t.list-inline>li {display: inline-block}\n",
       "\t.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "\t</style>\n",
       "\t<ol class=list-inline><li>'o__Actinomycetales'</li><li>'Other'</li></ol>\n",
       "</details>"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item Other\n",
       "\\item Other\n",
       "\\item Other\n",
       "\\item Other\n",
       "\\item Other\n",
       "\\item <NA>\n",
       "\\end{enumerate*}\n",
       "\n",
       "\\emph{Levels}: \\begin{enumerate*}\n",
       "\\item 'o\\_\\_Actinomycetales'\n",
       "\\item 'Other'\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. Other\n",
       "2. Other\n",
       "3. Other\n",
       "4. Other\n",
       "5. Other\n",
       "6. &lt;NA&gt;\n",
       "\n",
       "\n",
       "\n",
       "**Levels**: 1. 'o__Actinomycetales'\n",
       "2. 'Other'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] Other Other Other Other Other <NA> \n",
       "Levels: o__Actinomycetales Other"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "actino = hcaffer %>%\n",
    "mutate(Actino = Rank4)\n",
    "\n",
    "actino$Actino = as.character(actino$Actino)\n",
    "actino$Actino[which(actino$Rank4 != \"o__Actinomycetales\")] = \"Other\"\n",
    "actino$Actino = as.factor(actino$Actino)\n",
    "head(actino$Actino)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BIgQEiAACEBAoQECBASIEBIgAAhAQKE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\nACEBAoQECBASIEBIgAAhAQKEBAj8Pzu0Kal6KQ/UAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = ggplot(actino, aes(x = reorder(Taxon_OTU, -Ecto_pos), y = Ecto_pos, fill=Actino)) + geom_bar(stat=\"identity\")\n",
    "\n",
    "#Option two for specifying two colors for column where I specify 'Taxon A' (e.g. \"Actinomycetales\") vs 'other'\n",
    "p = p + scale_fill_manual(values=c(\"Orange\",\"Gray\"))\n",
    "\n",
    "\n",
    "p = p + theme_bw() + theme(text=element_text(size=10, color=\"black\",family=\"Calibri\"),\n",
    "                           #legend.key = element_blank(),\n",
    "                           #axis.text.x = element_text(angle = 90, hjust = 1),\n",
    "                           axis.text.x = element_blank(),\n",
    "                           plot.title = element_text(hjust = 0.5),\n",
    "                           legend.position = \"bottom\",\n",
    "                           #axis.title.y=element_blank(),\n",
    "                           panel.grid.major = element_blank(),\n",
    "                           panel.grid.minor = element_blank())\n",
    "\n",
    "p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "actino_only = subset(actino, Actino == \"o__Actinomycetales\")\n",
    "hcaf.act = subset(actino_only, Host==\"Hcaffer\")\n",
    "mafr.act = subset(actino_only, Host==\"Mafricanus\")\n",
    "mmin.act = subset(actino_only, Host==\"Mminor\")\n",
    "relo.act = subset(actino_only, Host==\"Reloquens\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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/bVGN6wYcOAgAAfH58rV66oVCofH5/ly5dbWVlJ589OnTrVqVMnJyen4ODg3Nxc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\ngg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = ggplot(hcaf.act, aes(x = reorder(Taxon_OTU, -Ecto_pos), y = Ecto_pos, fill=Rank5)) + geom_bar(stat=\"identity\")\n",
    "\n",
    "p = p + ggtitle(\"Hipposideros caffer - order Actinomycetales by family\")                     \n",
    "\n",
    "p = p + theme_bw() + theme(text=element_text(size=10, color=\"black\",family=\"Calibri\"),\n",
    "                           axis.text.x = element_blank(),\n",
    "                           plot.title = element_text(hjust = 0.5),\n",
    "                           legend.position = \"right\",\n",
    "                           panel.grid.major = element_blank(),\n",
    "                           panel.grid.minor = element_blank())\n",
    "\n",
    "p\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5KTk/v27ZuUlDRz5symrn3llVdkMpmx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\nSATBDgAAQCL+HxN9WD3mzTgdAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = ggplot(hcaf.act, aes(x = reorder(Taxon_OTU, -Ecto_pos), y = Ecto_pos, fill=Rank5)) + geom_bar(stat=\"identity\")\n",
    "                               \n",
    "#p = p + geom_text(aes(label=Shared), position=position_dodge(width=0.9), vjust=-0.25)\n",
    "\n",
    "p = p + theme_bw() + theme(text=element_text(size=10, color=\"black\",family=\"Calibri\"),\n",
    "                           axis.text.x = element_blank(),\n",
    "                           plot.title = element_text(hjust = 0.5),\n",
    "                           legend.position = \"right\",\n",
    "                           panel.grid.major = element_blank(),\n",
    "                           panel.grid.minor = element_blank())\n",
    "\n",
    "p\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R_3.6.0",
   "language": "R",
   "name": "ir360"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}