On Thu, 3 Dec 2009, Lisa wrote:
Hello, All,
I have a dataset that looks like this:
x <- matrix(c(
0, 0, 0,
0, 0, 0,
0, 1, 0,
0, 1, 0,
0, 1, 0,
1, 2, 1,
1, 2, 1,
1, 3, 1,
1, 3, 1,
1, 3, 1),
ncol = 5, byrow = T,
dimnames = list(1:10, c("gender", "race", "disease")))
I want to write a function to produce several matrices including only “TRUE”
and “FALSE” for the different levels of the variables (these matrices may be
thought as index matrices), like
m1
TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
m2
FALSE FALSE TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE
m3
FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE
m4
FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE
Can anyone please help how to get this done? Your help would be greatly
appreciated.
Perhaps
apply(x , 2, function(x) model.matrix(~0+factor(x))==1)
??
Chuck
p.s. ncol = 3, I would think.
Lisa
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Charles C. Berry (858) 534-2098
Dept of Family/Preventive Medicine
E mailto:cbe...@tajo.ucsd.edu UC San Diego
http://famprevmed.ucsd.edu/faculty/cberry/ La Jolla, San Diego 92093-0901
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