If an array has missing values in different rows, plotting using the formul=
a=20
interface can produce errors. Example:
fake.data <- matrix(rep(-100:100, 4),
ncol =3D 4)
par(mfrow =3D c(1,2))
boxplot(fake.data ~ col(fake.data))
abline(h =3D 0, lty =3D 2)
boxplot(as.data.frame(fake.data))
abline(h =3D 0, lty =3D 2)
##### Add the missing data
fake.data[190:200, 1] <- NA
fake.data[1:5, 3] <- NA
## Bot only columns 1 and 3 should change!! (and in opposite directions)
par(mfrow =3D c(1, 2))
boxplot(fake.data ~ col(fake.data))
abline(h =3D 0, lty =3D 2)
boxplot(as.data.frame(fake.data))
abline(h =3D 0, lty =3D 2)
### The problem is that the same rows are removed from all the columns:
bp.a <- boxplot(fake.data ~ col(fake.data))
bp.df<- boxplot(as.data.frame(fake.data))
### which happens during the call to
eval(m, parent.frame())
inside boxplot.formula
**********************************
This happens in at least:
_ =20
platform i686-pc-linux-gnu
arch i686 =20
os linux-gnu =20
system i686, linux-gnu =20
status Patched =20
major 1 =20
minor 9.0 =20
year 2004 =20
month 05 =20
day 02 =20
language R =20
_ =20
platform i386-pc-linux-gnu
arch i386 =20
os linux-gnu =20
system i386, linux-gnu =20
status =20
major 1 =20
minor 8.1 =20
year 2003 =20
month 11 =20
day 21 =20
language R =20
_ =20
platform i686-pc-linux-gnu =20
arch i686 =20
os linux-gnu =20
system i686, linux-gnu =20
status Under development (unstable)
major 2 =20
minor 0.0 =20
year 2004 =20
month 04 =20
day 30 =20
language R =20
=2D-=20
Ram=F3n D=EDaz-Uriarte
Bioinformatics Unit
Centro Nacional de Investigaciones Oncol=F3gicas (CNIO)
(Spanish National Cancer Center)
Melchor Fern=E1ndez Almagro, 3
28029 Madrid (Spain)
=46ax: +-34-91-224-6972
Phone: +-34-91-224-6900
http://bioinfo.cnio.es/~rdiaz
PGP KeyID: 0xE89B3462
(http://bioinfo.cnio.es/~rdiaz/0xE89B3462.asc)
______________________________________________
[EMAIL PROTECTED] mailing list
https://www.stat.math.ethz.ch/mailman/listinfo/r-devel
