[R] Condional Density Plot from different data

Deepayan Sarkar deepayan.sarkar at gmail.com
Thu Dec 9 20:18:11 CET 2010

On Thu, Dec 9, 2010 at 10:11 AM, Doran, Harold <HDoran at air.org> wrote:
> Perhaps I found a solution as:
> datA$type <- gl(1, nrow(datA), label = 'PopA')
> datB$type <- gl(1, nrow(datB), label = 'PopB')
> dat <- rbind(datA, datB)

Or, slightly shorter

dat <- make.groups(datA, datB)
densityplot(~scores|condition, groups = which, dat)

> [...]

>> library(lattice)
>> densityplot(~datA$scores + datB$scores|datA$condition)

The problem here is that datA$scores and datB$scores don't have the
same length. This requirement is implicit in the description of the
extended formula interface:

          'y1 + y2 ~ x | a * b' [...] would be taken to mean that the
user wants to plot
          both 'y1 ~ x | a * b' and 'y2 ~ x | a * b' [...] superposed
in each panel.

and the latter formulae would make sense only if x, a, b, and y1 (and
y2) have the same length.


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