Whoops, that should be
densityplot(~y|g, data=dat, plot.points=FALSE, layout=c(1,4))
-Peter Ehlers
Peter Ehlers wrote:
You could try density plots:
If dat is your dataframe, y is your numerical vector and
g is your factor,
library(lattice)
trellis.device(height=9, width=7)
densityplot(~g|y, data=dat, plot.points=FALSE, layout=c(1,4))
See ?densityplot, ?panel.densityplot
-Peter Ehlers
DispersionMap wrote:
Thanks, however the group sizes are really big (each a,b,c.. category has
60,000 observations). Its hard to see whats going on withe the jittered
stripchart, i just get big black blobs.
Any other suggestions?
Peter Ehlers wrote:
If your group sizes are not too large, I would use jittered stripcharts.
They're more informative than boxplots and much less subject to
misinterpretation. One warning, I'm not fond of the default pch=0.
-Peter Ehlers
DispersionMap wrote:
What ways are there to plot categorical vs numerical data in R.
I have two columns: one with categorical data in 5 categories
a,b,c,d,e,
and
a numerical column with integers between 1 and 100.
I have used a boxplot with a,b,c,d,e on the x-axis and an increasing
numerical scale on the y-axis. This look fine but im looking for other
ways
to present the data.
What other ways can i do this???
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and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
Peter Ehlers
University of Calgary
403.202.3936
______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
