Hi- Tabular data have been provided to me within .csv files. I need to transform the data from tabular format into a dataframe with three columns. The columns need to be the table row id, table column id, and the tabulated variable. An example dataset can be downloaded here:
https://docs.google.com/leaf?id=0B0d3zfSSPFQsOGFkYThhYTYtOTE2Zi00NTNkLThmMzYtNDEyMTY5MjRiN2Qy&sort=name&layout=list&num=50 So I need that to be like: Season Area Variable 2009-10 38 5 2008-09 38 NA ...etc 2009-10 39 1 2008-09 39 3 ...etc >From there I need to show 'Variable' as a series of bubbles scaled to summary categories of 'Variable'. If x is my object storing the data frame above, something like: x$var.cat[x$Variable %in% 1:5] <- 1 x$var.cat[x$Variable %in% 6:10] <- 2 plot(x=x$Area, y=x$Season, type='n') points(x=x$Area, y=x$Season, pch=1, cex=x$var.categ) Transforming tabular data has turned out to be trickier than I expected and I would appreciate advice. Although my bubble plot scheme should work, it would be nice to hear of better ways on that too... Thanks, Tim [[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.
