im using w7 ultimate
Peter Ehlers wrote:
>
> pkg:lattice is installed as part of the base R distribution.
> You don't need to install it.
>
> DispersionMap wrote:
>> Thanks, ill give them whirl...when i was installing the lattice package i
>> got
>> the error in bold below...why does it say pe
pkg:lattice is installed as part of the base R distribution.
You don't need to install it.
DispersionMap wrote:
Thanks, ill give them whirl...when i was installing the lattice package i got
the error in bold below...why does it say permission denied and what effect
does this have?
I guess that
Thanks, ill give them whirl...when i was installing the lattice package i got
the error in bold below...why does it say permission denied and what effect
does this have?
> utils:::menuInstallLocal()
package 'lattice' successfully unpacked and MD5 sums checked
updating HTML package descriptions
Wa
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,
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:
Tha
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
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 dat
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. T
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