Another possibility is eapply where I have used naCount
from Henrik's solution:
prop - function(x)
list(class = data.class(x), dim = dim(x), size = object.size(x), NAs
= naCount(x))
do.call(rbind, eapply(.GlobalEnv, prop))
On 3/8/06, Henrik Bengtsson [EMAIL PROTECTED] wrote:
library(R.oo)
ll()
member data.class dimension object.size
1 anumeric 10004028
2author character 1 112
3 expnumeric 1 36
4 last.warning list 2 488
5object function NULL 864
6 row character 1 72
7 USArrests data.frame c(50,4)4076
8 VADeaths matrixc(5,4) 824
9 value character 1 72
with NA counts:
naCount - function(x, ...) ifelse(is.vector(x), sum(is.na(x)), NA)
properties - c(data.class, dimension, object.size, naCount)
ll(properties=properties)
member data.class dimension object.size
1 anumeric 10004028
2author character 1 112
3 expnumeric 1 36
4 last.warning list 2 488
5 naCount function NULL 864
6object function NULL 864
7properties character 4 212
8 row character 1 72
9 USArrests data.frame c(50,4)4076
10 VADeaths matrixc(5,4) 824
11value character 1 72
FYI: In next version of R.oo, there will probably be some kind of
option to set the default 'properties' argument so that this must not
be given explicitly by default.
Cheers
Henrik
On 3/8/06, Robert Lundqvist [EMAIL PROTECTED] wrote:
I would like to have some function for getting an overview of the
variables in a worksheet. Class, dimesions, length, number of missing
values,... Guess it wouldn't be that hard to set up such a function, but I
guess there are others who have made it already. Or is it already a
standard feature in the base package? Any suggestions?
Robert
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Henrik Bengtsson
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