Hi, You will find package "sos" has some handy functions for searching for functions/packages:
########################### install.packages("sos") require(sos) findFn("error.bars") ########################### Perhaps the "psych" package has the error.bars() function you are thinking of? As a side note, I am not sure it makes much sense to add error bars to a boxplot---it already includes 25th/75th percentiles (at least approximately, some use hinges, etc. but same general idea), and typically minimum and maximum scores. What would the error bars add to that picture that would aid a viewer in understanding the distribution of your data or the difference between different sets of data? In other words, is the information conveyed over and above the boxplots large enough to warrant the additional clutter, possible confusion, and necessary key/description in your figure caption so viewers know what they are looking at? Just something to think about. Cheers, Josh On Wed, Jan 26, 2011 at 10:04 AM, ogbos okike <ogbos.ok...@gmail.com> wrote: > > Dear all, > I am trying to add error bars on a boxplot but have encountered an error as > indicated below. Is there a package I need to install or a library I have to > load before this goes please. > Thanks for any idea. > Ogbos > > x<-replicate(20,rnorm(50)) > boxplot(x,notch=TRUE,main="Notched boxplot with error bars") > error.bars(x,add=TRUE) > Error: could not find function "error.bars" > > [[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. -- Joshua Wiley Ph.D. Student, Health Psychology University of California, Los Angeles http://www.joshuawiley.com/ ______________________________________________ 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.