At 09:58 18/12/2002 -0500, vous avez écrit:
Hello [R]ians,
I'm hoping someone can clarify the difference between a Workspace Image
and Working Directory. I created a directory on my PC, say,
C:\Program Files\R\Project1 and then saved my objects in
C:\Program Files\R\Project1\.Rdata.
Then,
Hi All,
I am working with rat genome array (RGU34A). I have identified a set of 350
genes. I am looking for a way to get pubmed abstracts (as much as 10 per
gene). Is there a package or function in R that can do this? Thanks for all
help.
Murali
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Thanks for the reply Thomas, I think I (am starting to) understand.
But it appears that if I load, C:\Program Files\R\Project1\.RData,
after starting in the directory C:\Program Files\R\rw1060,
R will save the objects I create in the current session in both
C:~\Project1 and C:~\rw1060.
So, if
Ich werde ab 18.12.2002 nicht im Büro sein. Ich kehre zurück am 13.01.2003.
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I have a function that needs to be repeated many times
with for loop. I have take measure to rm all the big
arrays that was used in the function. The only array
that cannot be rm was the return arrays. The loop
needed to be repeat for over 2000 times and I am using
v1.6.0 in Windows 2000
When I
When I look at the task manager, I see that the
memory used by R keep going up and reach more than 1G
byte after 700 iteration or so. I have try including
gc after every loop. No help at all. I'll appreciate
any suggestion.
Have you tried R1.6.1? I believe it fixes this problem.
-J
There was a memory leak discovered in R 1.6.0 but it's difficult to tell
if this is in fact causing your problem. At any rate, you should upgrade
to version 1.6.1 (the latest release).
-roger
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UCLA Department of Statistics
[EMAIL PROTECTED]
Hi Christian,
Thanks a lot for the bug report and the fix. I ended up modifying your fix
only very slightly:
for(i in seq(along = value)){
if(is(value[[i]], logical))
value[[i]] - as(value[[i]], integer)
}
[the idiom class(x) - foo, when using
On Wed, Dec 18, 2002 at 03:51:47PM -0500, Zhongming Yang wrote:
I am trying to use piecewise linear regression to approximate a
nonlinear function.
Why not smooth regression, or non-linear regression?
Actually, I don't know how many linear functions I
need, therefore, I want build an array
On Wed, Dec 18, 2002 at 04:53:37PM -0400, Rolf Turner wrote:
I wish to produce a weighted (Gaussian?) kernel density estimate, in
2 dimensions, where the weights are permitted to be ***negative***.
(I can ASSURE you that there are perfectly legitimate reasons why I
want to do this. :-))
Another interesting paper is:
Gigerenzer, G. 1998. We need statistical thinking, not statistical
rituals. Behavioural and Brain Sciences 21: 199-200.
It is interesting that Gigerenzer's recent, highly readable and
disturbing book :Calculated Risks (US: Simon Schuster) or
Reckoning with Risk
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