> I have a csv file where the number of filled columns
> varies in the different rows:
I would hack it like this, but then I am totally new to R,
which means you should not trust me.:
d <- read.csv("testdata", header=F)
selection <- apply(d, c(1),
function(x) {sum(!is.na(x) & x != "") >
On Mon, 4 Sep 2006, Georg Otto wrote:
>
> Hi,
>
> I have a csv file where the number of filled columns varies in the
> different rows:
>
> Sun 5-Feb-06,15,,,01:30:00,0:06:00,
> Mon 6-Feb-06,,
> Tue 7-Feb-06,7,,,00:41:00,0:05:51,
> Wed 8-Feb-06,,
>
> I would like to use read.table (or w
Hi,
I have a csv file where the number of filled columns varies in the
different rows:
Sun 5-Feb-06,15,,,01:30:00,0:06:00,
Mon 6-Feb-06,,
Tue 7-Feb-06,7,,,00:41:00,0:05:51,
Wed 8-Feb-06,,
I would like to use read.table (or whatever is appropriate) to read in
only those rows that have tw
