I guess you have the binary distribution, not the R source code.
The functions you want seem to be defined in the files dchisq.c and dnchisq.c in
https://svn.r-project.org/R/trunk/src/nmath/
2009/1/17 zhijie zhang rusers...@gmail.com:
Dear all,
I want to see the source codes for dchisq(x,
On 17/01/2009 2:23 AM, zhijie zhang wrote:
Dear all,
I want to see the source codes for dchisq(x, df, ncp=0, log = FALSE),
but cannot find it.
I input dchisq in the R interface, and then enter, the following message
return:
dchisq
/*/
Dear Dr Murdoch,
I understand in principle your explanation, but specifically where in the
source distribution are these functions found? For instance, I would like
to look at the code for model.matrix. Ex:
ans - .Internal(model.matrix(t, data))
I have looked at the source distribution but
Look for do_modelmatrix here:
https://svn.r-project.org/R/trunk/src/main/model.c
On Sat, Jan 17, 2009 at 5:40 PM, Murray Cooper myrm...@earthlink.net wrote:
Dear Dr Murdoch,
I understand in principle your explanation, but specifically where in the
source distribution are these functions
Murray Cooper wrote:
Dear Dr Murdoch,
I understand in principle your explanation, but specifically where in the
source distribution are these functions found? For instance, I would like
to look at the code for model.matrix. Ex:
ans - .Internal(model.matrix(t, data))
I have looked at the
Dear all,
I want to see the source codes for dchisq(x, df, ncp=0, log = FALSE),
but cannot find it.
I input dchisq in the R interface, and then enter, the following message
return:
dchisq
/*/
function (x, df, ncp = 0, log = FALSE)
{
if
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