[R] [ggplot2] Densityplot, grouping and NAs

[ONKELINX, Thierry]

Dear Bernd,

Omitting the NA values from the dataset will work.

ggplot(aes(x = x, color = g), data = na.omit(mydf)) + geom_density() 

Notice that I have omitted the group argument. It is redundant in this
case.

HTH,

Thierry


------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium 
tel. + 32 54/436 185
Thierry.Onkelinx at inbo.be 
www.inbo.be 

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey

-----Oorspronkelijk bericht-----
Van: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
Namens Weiss, Bernd 
Verzonden: woensdag 25 maart 2009 7:36
Aan: r-help at r-project.org
Onderwerp: [R] [ggplot2] Densityplot, grouping and NAs

Dear all,

I do not fully understand how ggplot2 handles NAs. See the following 
example:

library(ggplot2)
x <- rnorm(150)
g <- as.factor(c(rep(c(0,1,NA),50)))
mydf <- data.frame(x,g)

m <- ggplot(aes(x = x, group = g, color = g), data = mydf)
m + geom_density()


How do I get rid of the NAs (i.e. the blue colored curve)?

I thought

## m <- ggplot(aes(x = x, group = g, color = g, na.rm = TRUE),
## data = mydf)
## m + geom_density()

or

## m <- ggplot(aes(x = x, group = g, color = g), data = mydf)
## m + geom_density()
## m + stat_density(na.rm = TRUE)

etc.

would solve my problem but to no avail.


Thanks for your help,

Bernd

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