Does something like the code below give you want you want?
It requires the ggplot2 package so you will likely have to install it.
John Kane
Kingston ON Canada
====================================================
# sample data converted using dput
xx <- structure(list(X = c("Exp1", "Exp1", "Exp1", "Exp1", "Exp1",
"Exp1", "Exp2", "Exp2", "Exp2", "Exp2"), M = c(-90.0273224, -73.33333333,
-98.24561404, -65.2173913, -98.7654321, -96.42857143, -84.61538462,
-43.63636364, -47.5, -55.49450549), F = c(-77.66531714, -96.36363636,
-91.57848325, -59.18367347, -92.42424242, -89.25925926, -47.36842105,
-22.37762238, -33.33333333, -66.66666667)), .Names = c("X", "M",
"F"), class = "data.frame", row.names = c(NA, -10L))
# melt data using reshape --automatically loads with ggplot2
library(ggplot2)
mm <- melt(xx, id="X")
ggplot(mm, aes(variable, value, fill=variable)) + geom_boxplot() +
opts(legend.position="none") + facet_grid(. ~ X)
====================================================
> -----Original Message-----
> From: ap...@neuro.mpg.de
> Sent: Mon, 20 Feb 2012 18:59:49 +0000
> To: jrkrid...@inbox.com, r-help@r-project.org
> Subject: RE: [R] overlay of two sets of boxplots
>
>
> Hello John,
> Thanks for your fast answer. I will try to be clearer and more detailed
> this time. At the moment I am importing a dataframe like below as a '.csv
> file'. I want to generate a boxplot for M and F values grouped by X
> whereby boxplots for M and F should be above or very close to each other.
> Please see attachment for example figure. Till now I have tried a code
> that looks like the one below the frame (I found it in the graph help of
> R for boxes close to each other):
>
> X M F
> Exp1 -90.0273224 -77.66531714
> Exp1 -73.33333333 -96.36363636
> Exp1 -98.24561404 -91.57848325
> Exp1 -65.2173913 -59.18367347
> Exp1 -98.7654321 -92.42424242
> Exp1 -96.42857143 -89.25925926
> Exp2 -84.61538462 -47.36842105
> Exp2 -43.63636364 -22.37762238
> Exp2 -47.5 -33.33333333
> Exp2 -55.49450549 -66.66666667
>
> >boxplot(
> formula = F~Strain,
> data = pain,
> boxwex = 0.25,
> at = 1:38 - 0.1,
> subset =supp== "F",
> col = "red",
> xlab = "Strain",
> ylab = " F"
> )
> boxplot(
> formula = M~Strain,
> data = pain,
> boxwex = 0.25,
> at = 1:38 + 0.1,
> subset =supp== "M",
> col = "orange",
> add = TRUE )
>
> ...but I did cannot find anywhere what supp means and R cannot read it.
> I hope this is explained ok. Any kind of answer would help!
> Best
> Mirjam
>
> -----Original Message-----
> From: John Kane [mailto:jrkrid...@inbox.com]
> Sent: Monday, February 20, 2012 6:00 PM
> To: Mirjam Appel; r-help@r-project.org
> Subject: RE: [R] overlay of two sets of boxplots
>
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
> At a rough guess you may want to have a look at the mfrow in ?par but
> without some sample data and a bit more information about what you need
> it is difficult to suggest more.
>
> By the way dput (see ?dput) is a handy way to supply a sample data set
> here.
>
> John Kane
> Kingston ON Canada
>
>
>> -----Original Message-----
>> From: ap...@neuro.mpg.de
>> Sent: Mon, 20 Feb 2012 10:27:11 +0000
>> To: r-help@r-project.org
>> Subject: [R] overlay of two sets of boxplots
>>
>> Hello,
>> I am new to R and currently have the following problem:
>> I have successfully loaded my data in R which consists of two numeric
>> columns (LI_F and female) and one character column (Strain). So far I
>> can plot two different set of boxplots for each of the numeric columns
>> plotted by the groups of the character column and the commands look
>> like
>> that:
>>
>> boxplot(LI_F~Strain, ylab="LI_F", xlab="Strain", data=pain)
>> boxplot(female~Strain, ylab="female", xlab="Strain", data=pain)
>>
>> How can I overlay the two set of boxplots (preferably in different
>> colors), so that I can compare them one by one, meaning two boxplots
>> corresponding to the same character in "Strain" are directly above
>> each other?
>> I have tried a lot of things and would greatly appreciate your help.
>>
>> Best,
>> Mirjam
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help@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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