[R] categorical vs numerical
DispersionMap
frenchcr at btinternet.com
Sat Dec 5 14:14:32 CET 2009
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
Warning message:
In file.create(f.tg) :
cannot create file 'C:\PROGRA~1\R\R-29~1.2/doc/html/packages.html', reason
'Permission denied'
> local({pkg <- select.list(sort(.packages(all.available = TRUE)))
+ if(nchar(pkg)) library(pkg, character.only=TRUE)})
Warning message:
package 'lattice' was built under R version 2.10.0
I have it loaded
Peter Ehlers wrote:
>
> 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???
>>>>>
>>>> ______________________________________________
>>>> 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.
>>>>
>>>>
>>>
>>
>> ______________________________________________
>> 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.
>>
>>
>
> --
> Peter Ehlers
> University of Calgary
> 403.202.3936
>
> ______________________________________________
> 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.
>
>
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