Use Jeff’s solution. This doesn’t account for ties.
On Feb 26, 2015, at 1:11 PM, Don McKenzie d...@u.washington.edu wrote:
Kate — here is a transparent solution (tested but without NA treatment).
Doubtless there are cleverer faster ones, which later posters will present.
HTH
#
of Anthropology
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College Station, TX 77840-4352
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Don McKenzie
Sent: Thursday, February 26, 2015 3:12 PM
To: Kate Ignatius
Cc: r-help
Subject: Re: [R] Summing certain values within columns
Kate — here is a transparent solution (tested but without NA treatment).
Doubtless there are cleverer faster ones, which later posters will present.
HTH
# example with four columns and 20 rows
nrows - 20
A - sample(c(1:100), nrows, replace=T)
B - sample(c(1:100), nrows, replace=T)
C -
Hi,
Supposed I had a data frame like so:
A B C D
0 1 0 7
0 2 0 7
0 3 0 7
0 4 0 7
0 1 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 1 5
0 5 1 5
0 4 1 5
0 8 4 7
0 0 3 0
0 0 3 4
0 0 3 4
0 0 0 5
0 2 0 6
0 0 4 0
0 0 4 0
0 0 4 0
For each row, I want to count how many max column values appear to
adventurely get the
I guess the answer to your question is yes.
dta - read.table( text=
A B C D
0 1 0 7
0 2 0 7
0 3 0 7
0 4 0 7
0 1 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 1 5
0 5 1 5
0 4 1 5
0 8 4 7
0 0 3 0
0 0 3 4
0 0 3 4
0 0 0 5
0 2 0 6
0 0 4 0
0 0 4 0
0 0 4 0
, header=TRUE )
dtacmax - sapply( dta, max )
followed by
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