# R script showing .pdf file with plots of all injection histograms for a certain file
-
-# Can be called from the command line with:
-# Rscript $this_script.R inputfile
+# Can be called from the command line with: Rscript $this_script.R inputfile
# Necessary libraries
library(plyr)
# Functions for arranging multiple plots
vp.layout <- function(x, y) viewport(layout.pos.row=x, layout.pos.col=y)
arrange_ggplot2 <- function(list, nrow=NULL, ncol=NULL, as.table=FALSE) {
-n <- length(list)
-if(is.null(nrow) & is.null(ncol)) { nrow = floor(n/2) ; ncol = ceiling(n/nrow)}
-if(is.null(nrow)) { nrow = ceiling(n/ncol)}
-if(is.null(ncol)) { ncol = ceiling(n/nrow)}
-## NOTE see n2mfrow in grDevices for possible alternative
-grid.newpage()
-pushViewport(viewport(layout=grid.layout(nrow,ncol) ) )
-ii.p <- 1
-for(ii.row in seq(1, nrow)){
-ii.table.row <- ii.row
-if(as.table) {ii.table.row <- nrow - ii.table.row + 1}
-for(ii.col in seq(1, ncol)){
-ii.table <- ii.p
-if(ii.p > n) break
-print(list[[ii.table]], vp=vp.layout(ii.table.row, ii.col))
-ii.p <- ii.p + 1
-}
-}
+ n <- length(list)
+ if(is.null(nrow) & is.null(ncol)) { nrow = floor(n/2) ; ncol = ceiling(n/nrow)}
+ if(is.null(nrow)) { nrow = ceiling(n/ncol)}
+ if(is.null(ncol)) { ncol = ceiling(n/nrow)}
+ ## NOTE see n2mfrow in grDevices for possible alternative
+ grid.newpage()
+ pushViewport(viewport(layout=grid.layout(nrow,ncol) ) )
+ ii.p <- 1
+ for(ii.row in seq(1, nrow)){
+ ii.table.row <- ii.row
+ if(as.table) {ii.table.row <- nrow - ii.table.row + 1}
+ for(ii.col in seq(1, ncol)){
+ ii.table <- ii.p
+ if(ii.p > n) break
+ print(list[[ii.table]], vp=vp.layout(ii.table.row, ii.col))
+ ii.p <- ii.p + 1
+ }
+ }
}
### Main
-
# Reading command line argument with the input file path
args <- commandArgs(trailingOnly = TRUE)
fp <- file(args[1], open = "r")
i<-1
# Reading histograms one by one, line by line
-while (length(oneLine <- readLines(fp, n = 1, warn = FALSE)) > 0)
-{ myVector <- (strsplit(oneLine, "\t"))
+while (length(oneLine <- readLines(fp, n = 1, warn = FALSE)) > 0){
+ myVector <- (strsplit(oneLine, "\t"))
dfl <- ldply (myVector, data.frame)
nbins<-as.numeric(as.character(dfl[4,]))
allbreaks<-as.numeric(as.character(dfl[5:(5+nbins-1),]))
- dh<-data.frame(Name=as.character(dfl[1,]), Total=as.numeric(as.character(dfl[2,])), Mean=as.numeric(as.character(dfl[3,])), Nbins=as.numeric(as.character(dfl[4,])))
+ dh<-data.frame(Name=as.character(dfl[1,]), Total=as.numeric(as.character(dfl[2,])),
+ Mean=as.numeric(as.character(dfl[3,])), Nbins=as.numeric(as.character(dfl[4,])))
dh<-cbind(dh,Bstart=allbreaks[-length(allbreaks)])
dh<-cbind(dh,Bend=allbreaks[-1])
dh<-cbind(dh,Density=as.numeric(as.character(dfl[(5+nbins):(5+nbins*2-2),])))
# Plotting single histogram, if it only has one value then use geom_bar
if (nbins > 2)
- plots[[i]]<-ggplot(data=data.frame(dh), aes(xmin=Bstart, xmax=Bend, ymin=0, ymax=Density)) + geom_rect(aes(fill=Density)) + theme_bw() + scale_x_continuous("Time [s]", allbreaks) + labs(title=name, y=element_text("Density %"))
+ plots[[i]]<-ggplot(data=data.frame(dh), aes(xmin=Bstart, xmax=Bend, ymin=0, ymax=Density)) +
+ geom_rect(aes(fill=Density)) + theme_bw() + scale_x_continuous("Time [s]", allbreaks) +
+ labs(title=name, y=element_text("Density %"))
else
- plots[[i]]<-ggplot(data=data.frame(dh), aes(factor(Bstart))) + geom_bar(aes(fill=Density)) + theme_bw() + labs(title=name, y=element_text("Density %"), x=element_text("Time [s]"))
-
+ plots[[i]]<-ggplot(data=data.frame(dh), aes(factor(Bstart))) + geom_bar(aes(fill=Density)) +
+ theme_bw() + labs(title=name, y=element_text("Density %"), x=element_text("Time [s]"))
i<-i+1
}
# Printing all plots together in a table
arrange_ggplot2(plots, as.table=TRUE)
-# End
write("Done producing a histogram plot. Open Rplots.pdf located in this folder to see the results", stdout())
