I think we really need to see the code. John Kane Kingston ON Canada
> -----Original Message----- > From: sudha.krish...@marlabs.com > Sent: Thu, 6 Jun 2013 06:37:41 +0000 > To: r-help@r-project.org > 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 > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ____________________________________________________________ FREE 3D EARTH SCREENSAVER - Watch the Earth right on your desktop! ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
