Hi, On Wed, Oct 12, 2011 at 6:11 PM, Davis_fishgirl <lrlede...@gmail.com> wrote: > > **NEW TO R**-been trying to teach myself with no prior experience in > computer languages, so I apologize if I am poor at using technical terms > Hi, I have perused some of the previous posts on this topic and tried their > solutions, but am still coming up with error messages(sometimes more than 50 > at a time) > > I have: > a csv file with four columns(that I have read into R, no problem, we will > call it DATA) > date, Location1, Location2, total > > Dates cover almost a year > location values are number of fish seen at that location
So your question doesn't have anything to do with CSV files, but only with making a stacked barplot from a data frame. > I would like to show a stacked bar plot so someone can see the breakdown for > total fish seen on any particular day. I was able to create a simple bar > plot for total number of fish versus Date, but when I have tried to make a > stacked graph it creates four bars(one for each column). > > Do I have to convert my data so each date has its own column or is there a > way I can use my data as is? > > script I have tried: > > barplot(as.matrix(DATA)) > > barplot(t(DATA),names.arg=DATA$Date) > > fish<-table(DATA$Location1,DATA$Location2) > barplot(fish,names.arg=DATA$Date) If you read the help for barplot, you'll see that the argument beside controls whether the bars are next to each other or stacked. You'll get better answers if you provide a reproducible example (see posting guide, please), but this may be enough to get you going. > testdata <- data.frame(Date=1:5, Location1=sample(1:10, 5, replace=TRUE), > Location2=sample(1:10, 5, replace=TRUE)) > > testdata Date Location1 Location2 1 1 3 10 2 2 10 6 3 3 2 9 4 4 4 10 5 5 8 2 > barplot(t(testdata[, 2:3]), beside=FALSE, names=testdata$Date) Sarah -- Sarah Goslee http://www.functionaldiversity.org ______________________________________________ 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.
