HI,
May be this helps:
dat1<- read.table("sampledata.txt",header=TRUE,sep=",",stringsAsFactors=FALSE)
pdf("Barplots.pdf")
lst1<-lapply(seq_len(ncol(dat1)),function(i) {Ctdat<-
table(dat1[,i]);Ctdat1<-(Ctdat/sum(Ctdat))*100;barplot(Ctdat1,ylim=c(0,100),xlab=colnames(dat1)[i],ylab="Relative
Frequency",main=paste("Barplot:",colnames(dat1)[i],sep=" "))})
dev.off()
A.K.
----- Original Message -----
From: Sudha Krishnan <sudha.krish...@marlabs.com>
To: "r-help@r-project.org" <r-help@r-project.org>
Cc:
Sent: Thursday, June 6, 2013 2:37 AM
Subject: [R] generating a bar chart with two axis for co-linear variable
Hello Dimitris,
I was goggling for some help on Sensitivity vs 1-specificity and saw your link.
I hope you can be of help to me in one of the issue that I am facing in
generating combo chart(bar chart and plot). I am a novice and have some
difficulty in getting this logic correct.
I am give a dataset (I am attaching a sample dataset).
I am using a barplot() and passing values for percentage frequency and the
corresponding variables. I am struck here, what my function does is only
calculate the frequency for the listed variables and not the frequency
percentage. Is there a method or a script with which I can pass the frequency
percent and the related values as category columns for x axis?
I will attach the graphs that I have generated so that you can suggest the
better way.
Sampledata - Sampledata.txt
What my function does to calculate the frequency with category names in X axis
- 1.png
My requirement is to generate percentage frequency of the variable in y1 and
not the frequency itself. 2.png (where x categories are missing)
Thanks,
Sudha Krishnan
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and provide commented, minimal, self-contained, reproducible code.
