Hi,
Below are a couple of options using a standard dataset,
str(iris)
## using base graphics
d <- split(iris, iris$Species)
str(d) # list of 3 data.frames
par(mfrow=n2mfrow(length(d))) # split the device in 3 plotting regions
b.quiet <- lapply(names(d), function(x) { # loop over the list names
with(d[[x]], plot(Sepal.Length, Petal.Length))
title(x)
})
library(ggplot2)
# using facetting
ggplot(iris) + facet_wrap(~Species) +
geom_point(aes(Sepal.Length, Petal.Length))
library(lattice)
# using facetting
xyplot(Petal.Length ~ Sepal.Length | Species, data=iris )
HTH,
baptiste
On 1 September 2011 08:50, Rich Shepard <rshep...@appl-ecosys.com> 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
>
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>
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