[R] understanding patterns in categorical vs. continuous data

[Gabor Grothendieck]

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 <dylan.beaudette at gmail.com> 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
>
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