here is a snippet of data where I would like to drop all rows that have
zeros across them, and keep the rest of the rows while maintaining the row
names (1,2,3, ...10). The idea here is that a row of zeros is an indication
that the row must be dropped. There will never be the case where there
On Wed, 30-Jun-2004 at 11:57PM -0400, Peter Wilkinson wrote:
| here is a snippet of data where I would like to drop all rows that have
| zeros across them, and keep the rest of the rows while maintaining the row
| names (1,2,3, ...10). The idea here is that a row of zeros is an indication
|
You right its a matrix (I ran an is.matrix() on my object).
Thanks,
Peter
At 12:13 AM 7/1/2004, Patrick Connolly wrote:
On Wed, 30-Jun-2004 at 11:57PM -0400, Peter Wilkinson wrote:
| here is a snippet of data where I would like to drop all rows that have
| zeros across them, and keep the rest of
Assuming all the entries are non-negative and non-NA this will do it:
DF[rowSums(DF) 0,]
Peter Wilkinson pwilkinson at videotron.ca writes:
:
: here is a snippet of data where I would like to drop all rows that have
: zeros across them, and keep the rest of the rows while maintaining
Thanks for everyone's help, there seems to be many ways of solving the
problem that work well.
Peter
At 12:36 AM 7/1/2004, Gabor Grothendieck wrote:
Assuming all the entries are non-negative and non-NA this will do it:
DF[rowSums(DF) 0,]
Peter Wilkinson pwilkinson at videotron.ca writes:
:
