Thank you all for you suggestions. They are all helpful. However, I have come to a more fundamental problem. Preparing my data to even make such a graph. I thought I was ready. I will obviously need to find the n, mean, and confidence interval for my data before I can plot them. for some of these plots.
I thought perhaps this data manipulation would be easily done in R, but perhaps I should do it elsewhere and then bring it into R. I have about 5000 rows & about 30 columns in my csv. I need to find: mean, n, confidence interval for a to-be-made selection from the entire data set. I have tried: aggregate, subset, dat$col1=2, etc Clearer?: I want to select data from my dataset where column1=2. Then when plotting this data I want to group it by 2 values (out of 4) from column10. I know this is probably as clear as mud, thanks for you continuing patience. I would really appreciate any assistance you are able to provide me. My limited knowledge in R grows quite rapdily and things become so much more successful for me when I am granted tips and snippets of code form R users like you. Sincerely, Michael Just On Wed, Oct 8, 2008 at 11:25 AM, hadley wickham <[EMAIL PROTECTED]> wrote: > On Tue, Oct 7, 2008 at 11:31 PM, Michael Just <[EMAIL PROTECTED]> wrote: > > Hello, > > I'd appreciate a suggestion on how to construct plots (barplots?) that > use > > means on the Y axis instead of density/count. I'd also like to use groups > > and plot error or confidence interval bars on these graphs. I know this > is a > > read the manual situation. I'd appreciate help with what to read, or your > > benevolence with some sample code. > > Here's an alternative suggestion - don't use bars, use dots. Bar > plots with standard errors are sometime called dynamite plots > (probably because they should be blown up). See > http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/DynamitePlots and > http://emdbolker.wikidot.com/blog:dynamite for some reasons not to use > them and possible alternatives. > > I hope that package authors who provide methods to make these plots > easy will reconsider. > > Hadley > > -- > http://had.co.nz/ > [[alternative HTML version deleted]] ______________________________________________ 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.
