Mercurial > repos > artbio > sr_bowtie_dataset_annotation
view barplot.r @ 6:8829656d6999 draft
"planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/sr_bowtie_dataset_annotation commit 60340e9e0d2795b88e23fd57e1ccb190918bf337"
author | artbio |
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date | Mon, 07 Oct 2019 08:40:41 -0400 |
parents | e11f91575af6 |
children | 3bddd7ab96e3 |
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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) library(RColorBrewer) #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 # Define the number of colors you want Sasha.Trubetskoy.Palette <- c('#e6194b', '#3cb44b', '#ffe119', '#4363d8', '#f58231', '#911eb4', '#46f0f0', '#f032e6', '#bcf60c', '#008080', '#e6beff', '#9a6324', '#fffac8', '#800000', '#aaffc3', '#808000', '#ffd8b1', '#000075', '#808080') nb.cols <- 19 # 10 with colorRampPalette # mycolors <- colorRampPalette(brewer.pal(8, "Paired"))(nb.cols) mycolors <- Sasha.Trubetskoy.Palette[1:nb.cols] 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 (%)") + scale_fill_manual(values = mycolors) + 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")