annotate bin/plot_skyline_hist.R @ 2:7eaf6f9abd28 draft default tip

planemo upload commit a3f181f5f126803c654b3a66dd4e83a48f7e203b-dirty
author bcclaywell
date Mon, 12 Oct 2015 17:57:38 -0400
parents d67268158946
children
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1 #!/usr/bin/env Rscript
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2
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3 library(argparse)
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4 library(ggplot2)
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6 parser <- ArgumentParser()
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7 parser$add_argument('-b', '--brewer', help="Specify a color brewer pallete")
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8 parser$add_argument('-c', '--color-spec', help="Specify a deme -> color CSV mapping")
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9 parser$add_argument('-d', '--demes', help="For help with making colors consistent, always know what all the demes are")
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10 parser$add_argument('common')
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11 parser$add_argument('input', help="Skyline outputs")
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12 parser$add_argument('stats', help="Contains tmrca mean, which we use for cutting stats")
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13 parser$add_argument('output')
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14 args <- parser$parse_args()
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15
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16 # Load shared library
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17 source(args$common)
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20 data <- read.csv(args$input, stringsAsFactors=F, sep="\t")
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21 stats.data <- read.csv(args$stats, stringsAsFactors=F, sep="\t")
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23 tmrca.mean <- subset(stats.data, statistic == "tmrca")$mean
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25 data <- subset(data, time > -tmrca.mean)
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26 data$statistic <- gsub("pro_(.*)", "\\1", data$statistic)
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28 deme.factor <- factorify.deme(data, label='statistic', args=args)
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29 data <- deme.factor$data
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30 deme.colors <- deme.factor$colors
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32 gg <- ggplot(data, aes(x=time, y=mean, fill=statistic))
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33 gg <- gg + geom_bar(stat="identity")
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34 gg <- gg + scale_fill_manual(values=deme.colors, name="deme")
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35 gg <- gg + theme_bw()
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36 gg <- gg + xlab("evolutionary distance")
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37 gg <- gg + ylab("ancestral deme proportion")
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38 gg <- gg + labs(title="Skyline proportions histogram")
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40 ggsave(args$output, gg, width=7, height=4.3)
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