Are you trying to separate the substrings in cat? If so, one way is to use the colsplit() function in the reshape2 package, something like (untested since you did not provide a suitable data format with which to work):
library('reshape2') splitcat <- colsplit(mydata$cat, ' ', names = c('fat', 'bat', 'rat')) moredat <- cbind(mydata, splitcat) Other options that might pertain to your request include: (i) subset(mydata, cat == 'por fol pec') which you can use as a data argument inside ggplot2 - e.g., ggplot(subset(mydata, cat == 'por fol pec'), aes(x = age, y = ind)) + geom_point() (ii) use faceting to get individual plots by factor level of cat - e.g., ggplot(mydata, aes(x = age, y = ind)) + geom_point() + facet_grid( ~ cat) Hope that one of these is close to the bullseye... Dennis 2011/10/25 Andrés Aragón <armand...@gmail.com>: > Dear all, > > I'm trying to analyze data with the following structure: > > ind cat tx age > 40.2 por fol peq vh 35 > 41.9 por fol med vh 35 > 68.9 por fol preov vh 35 > 71.5 por fol peq ser 37 > 67.5 por fol med ser 37 > 76.9 por fol preov ser 37 > 78.7 por fol peq otr 37 > 78.3 por fol med otr 37 > 82.1 por fol preov otr 37 > 83.9 por fol peq vh 37 > 80.6 por fol med vh 37 > 76.1 por fol preov vh 37 > 86.9 por fol peq ser 35 > 97.7 por fol med ser 35 > 62.3 por fol preov ser 35 > > > > I want to separate exclusively some of factor levels (“por fol peq” > in the “cat” colum). I am using ggplot2 and I only can plot all of > factors, not separately. I did try ddply without success. > Any help is welcome. > > Andrés > > ______________________________________________ > 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. > ______________________________________________ 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.