[R] categorical vs numerical

[Peter Ehlers]

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???
>>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>>
>