Mercurial > repos > artbio > sr_bowtie_dataset_annotation
view barplot.r @ 4:e11f91575af6 draft
planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/sr_bowtie_dataset_annotation commit 618a7892f6af26278364a75ab23b3c6d8cdc73db
author | artbio |
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date | Wed, 20 Mar 2019 07:12:53 -0400 |
parents | 008de522b3ea |
children | 8829656d6999 |
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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(ggrepel) #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$input, header=F) colnames(annotations) = c("sample", "class", "percent_of_reads", "total") annotations$percent=round(annotations$percent_of_reads/annotations$total*100, digits=2) # ggplot2 plotting ggtitle('Class proportions') ggplot(annotations, aes(x=total/2, y = percent_of_reads, fill = class, width = total)) + geom_bar(position="fill", stat="identity") + facet_wrap(~sample, ncol=3 ) + geom_label_repel(aes(label = percent), position = position_fill(vjust = 0.5), size=2,show.legend = F) + coord_polar(theta="y") + labs(x = "Class fractions (%)") + theme(axis.text = element_blank(), axis.ticks = element_blank(), panel.grid = element_blank(), axis.title.y = element_blank(), legend.position="bottom") + geom_text(aes(x = total/2, y= .5, label = paste(round(total/1000000, digits=3), "M"), vjust = 4, hjust=-1), size=2) ggsave(file=opt$barplot, device="pdf")