There are many ways. A simple one is to use split() to divide your 'Value' column using your 'Label' column as index. For example,
# Create dataset mydata=data.frame(Label=c('Good','Bad','Good','Good','Good','Bad','Bad'), Value=c(10,12,15,18,12,15,10)) # Split the data mydata=split(mydata$Value,mydata$Label) # Do a ks test ks.test(mydata[[1]],mydata[[2]]) Julian Emre Unal wrote: > Hi, > > How can I analyze the data collected in database formatting (with labels) > rather than splitted by individual columns (almost in excel)? > > For example (comma separated data); > > Label,Value > Good,10 > Bad,12 > Good,15 > Good,18 > Good,12 > Bad,15 > Bad,10 > etc... > > ks.test or chisq.test can be done. > Splitting the data into new columns is not applicable cos' I'll use > R-integration in another software. > > > > Thanks for your concern > Emre > > > > > > > > > > > > ------------------------------------------------------------------------ > > ______________________________________________ > 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.