[R] lattice density plot: add vertical lines at groupwise medians for all panels

Jose Iparraguirre Jose.Iparraguirre at ageuk.org.uk
Wed Nov 21 12:34:25 CET 2012


Dear AnjaM

There may be better ways of dealing with this, but the following works:


densityplot(~gcsescore | factor(score), groups=gender, data=Chem97,
            auto.key=TRUE,  plot.points=FALSE, ref=TRUE,
            panel=function(x,...){
              panel.densityplot(x,...)
              median.values <- tapply(Chem97$gcsescore, Chem97$gender, median)
              panel.abline(v=median.values, col=c("blue","red"))
		panel.grid(v=2)}
)


Regards,


José Iparraguirre
Chief Economist
Age UK


-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of AnjaM
Sent: 20 November 2012 14:13
To: r-help at r-project.org
Subject: [R] lattice density plot: add vertical lines at groupwise medians for all panels

Suppose you have the following code:

########## Start code########## 

data(Chem97, package="mlmRev")

densityplot(~gcsescore | factor(score), groups=gender, data=Chem97,
            auto.key=TRUE,  plot.points=FALSE, ref=TRUE,
            panel=function(x,...){
              panel.densityplot(x,...)
              median.values <- median(x) 
              panel.abline(v=median.values)}
)

##########  End code########## 

For some reason I don't understand, this adds only the median for one group
(in this case for gender == M) into each panel. How do I calculate and add
the medians for both groups in the right group colour?

This is what I tried:

########## Start code########## 

densityplot(~gcsescore | factor(score), groups=gender, data=Chem97,
            auto.key=TRUE,  plot.points=FALSE, ref=TRUE,
            panel=function(x,..., groups){
              panel.densityplot(x,..., groups)
              median.values <- tapply(x, groups, median) 
              panel.abline(v=median.values)}
)

##########  End code########## 

However, this gives an error.  What's going wrong and how can I solve this
problem?



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