Would this do? boxplot(Sepal.Length ~ Species, iris, horizontal = TRUE) library(Hmisc) summary(Sepal.Length ~ Species, iris, fun = summary)
On 1/26/06, Dylan Beaudette <[EMAIL PROTECTED]> wrote: > Greetings, > > I have a set of bivariate data: one variable (vegetation type) which is > categorical, and one (computed annual insolation) which is continuous. > Plotting veg_type ~ insolation produces a nice overview of the patterns that > I can see in the source data. However, due to the large number of samples > (1,000), and the apparent "spread" in the distribution of a single vegetation > type over a range of insolation values- I having a hard time quantitatively > describing the relationship between the two variables. > > Here is a link to a sample graph: > http://casoilresource.lawr.ucdavis.edu/drupal/node/162 > > Since the data along each vegetation type "line" is not a distribution in the > traditional sense, I am having problems applying descriptive statistical > methods. Conceptually, I would like to some how describe the variation with > insolation, along each vegetation type "line". > > Any guidance, or suggested reading material would be greatly appreciated. > > > -- > Dylan Beaudette > Soils and Biogeochemistry Graduate Group > University of California at Davis > 530.754.7341 > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html