Hi Rich, Using the data set "iris" as an example, you might also try
require(car) scatterplot(Petal.Length ~ Sepal.Length | Species, data = iris) HTH, Jorge On Wed, Aug 31, 2011 at 4:50 PM, Rich Shepard <> wrote: > I've tried various commands. ?plot, Teetor's book, "R Cookbook", and > Mittal's book, "R Graphs Cookbook" without seeing how to write the command > to create scatterplots from my data.frame. The structure is: > > str(chemdata) >> > 'data.frame': 14886 obs. of 4 variables: > $ site : Factor w/ 148 levels "BC-0.5","BC-1",..: 104 145 126 115 114 > 128 124 2 3 3 ... > $ sampdate: Date, format: "1996-12-27" "1996-08-22" ... > $ param : Factor w/ 8 levels "As","Ca","Cl",..: 1 1 1 1 1 1 1 1 1 1 ... > $ quant : num 0.06 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 ... > > and what I'd like to do is create scatter plots of quant (y-axis) against > the factor site (x-axis) for specified param factors. Teetor has an example > for a data set with two numeric variables and a single factor. I have a > single numeric veriable, two factors, and a date. > > I'll also want to create time series line plots of values as a function of > date for specified params. > > If the data.frame had only two columns all the examples work. But, using > two columns (the number per site factor for only a specified param factor) > is not covered in what I've read so far. > > Other graphing resources about which I should know? > > Rich > > ______________________________**________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help> > PLEASE do read the posting guide http://www.R-project.org/** > posting-guide.html <http://www.R-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > [[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.