Hi, Johannes,
maybe
X <- unlist( strsplit( as.character( x$ART), split = ";", fixed = TRUE))
X <- strsplit( X, split = "-", fixed = TRUE)
X <- sapply( X, function( x)
if( length(x) == 2)
rep( x[1], as.numeric( x[2])) else x[1]
)
table(X, useNA = "always")
comes close to what you want.
Hth -- Gerrit
On Thu, 19 Jan 2012, Johannes Radinger wrote:
Hello,
I have a vector which looks like
x$ART
...
[35415] 00 01-1;02-1;05-1;
[35417] 01-1; 01-1;02-1;
[35419] 01-1; 00
[35421] 01-1;04-1; 05-1;
[35423] 02-1; 01-1;02-1;
[35425] 01-1;02-1; <NA>
[35427] 01-1; <NA>
...
This is a vector I got in this format. To explain it:
there are several categories (00,01,02 etc) and its counts (values after -)
So I have to split each value and create new dataframe-columns/vectors
for each categories one column and the value should be then in the
corresponding cell. I know that this vector has 7 categories (00-06)
and NA values but each case (row) has not all the categories (as you can see).
How can do such as split?
In the end I should get:
x$ART_00, x$ART_01, x$ART_03,... with its values. In the case of <NA> all the
categories should have also <NA>.
Maybe someone can help.
Thank you,
Best regards
Johannes
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