I recently started using R and I have a simple question. I am running R
(v.
2.12.1) and Rcmdr (v.1-6.3) on Mac (Snow Leopard).
I am using a data set I used before for practicing ANOVA with R, so I
know
what the results should look like. I can get ANOVA table using both Rcmdr
and GUI. However, I cannot make R prepare the ANOVA diagram (with
boxplots,
showing the data points, including the outliers) for the dataset. If I
use
Rcmdr (Models>Graphs) then I get some graphical representation for the
ANOVA
model I prepared in R (showing diagnostic plots, Q-Q plots, etc.).
However,
the real ANOVA diagram is not coming up. I tried using "plot" command in
GUI
but did not get what I wanted. I could not find an answer to this on-line
or
in my book. I apologize if this was covered recently in the mailing list,
I
just became a member.
Note that it is possible to do any Rcmdr "menu operation" from the command
line simply by typing the command line output that results from doing the
menu operation in Rcmdr. Observe the red text in the output window. The
Rcmdr package supplies not only the Menu driven window, but some functions
to accomplish the operations of the Window. Observe the red text in the
output window.
Assuming you want an "interaction plot" for 2-factor ANOVA and following on
from Sarah's example paste the following code at the command line. Note
that it makes use of the Rcmdr convenience function plotMeans() so you need
the Rcmdr package loaded:
library(Rcmdr)
fakedata <- runif(100)
fakegroups <- sample(rep(letters[1:5], each=20))
factor2 = sample(rep(letters[1:2], each=50))
plotMeans(df$data, df$groups, df$factor2, error.bars="se")
For more information on how to use this function from the command line see
its help file by typing
?plotMeans
Hope you can generalize this if you were actually asking a different
question. See posting guide for best practices on providing a reproducible
example of what you want to accomplish.
Rob
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