Mercurial > repos > artbio > sr_bowtie_dataset_annotation
view barplot.r @ 3:008de522b3ea draft
planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/sr_bowtie_dataset_annotation commit 53e9bab2c20411f34ac09688de2f2cc8ae8c46a4
author | artbio |
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date | Sun, 10 Feb 2019 18:31:51 -0500 |
parents | |
children | e11f91575af6 |
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if (length(commandArgs(TRUE)) == 0) { system("Rscript barplot.r -h", intern = F) q("no") } # load packages that are provided in the conda env options( show.error.messages=F, error = function () { cat( geterrmessage(), file=stderr() ); q( "no", 1, F ) } ) loc <- Sys.setlocale("LC_MESSAGES", "en_US.UTF-8") warnings() library(optparse) library(ggplot2) library(scales) #Arguments option_list = list( make_option( c("-i", "--input"), default = NA, type = 'character', help = "Input file that contains count data (no header)" ), make_option( c("-o", "--barplot"), default = NA, type = 'character', help = "PDF output file" ) ) opt = parse_args(OptionParser(option_list = option_list), args = commandArgs(trailingOnly = TRUE)) ## annotations = read.delim(opt$input, header=F) colnames(annotations) = c("class", "counts") annotations = cbind(annotations, fraction=annotations$counts/annotations$counts[1]) annotations = annotations[-1,] # ggplot2 plotting ggplot(annotations, aes(x="classes", y=fraction, fill=class)) + geom_bar(width = .7, position=position_stack(), stat = "identity") + geom_text(aes(label = percent(fraction)), position = position_stack(vjust = 0.5),size = 4) ggtitle('Class proportions') ggsave(file=opt$barplot, device="pdf")