People, don't get angry at the pharma statistician, he is just trying to
abide by an FDA requirement that is designed to insure that test perform
reliably the same. There is no point in getting into which product is
better. As far as the FDA rules are concerned a validated system beats a
better
.
.. Which is why I said
Should they need to use those results in a report [where] that will
matter to the FDA..
(I added the where .. It makes more sense)
-Original Message-
From: Frank E Harrell Jr [mailto:[EMAIL PROTECTED]
Sent: Friday, June 08, 2007 11:08 AM
To: Sicotte, Hugues Ph.D
It looks like the system does not like that you installed the apps under
your user folders.
E.g. C:\Documents and Settings\Erin\Local
Can you install in C:\Erin\Local
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Erin Hodgess
Sent: Wednesday, May 23,
: Friday, February 02, 2007 3:05 AM
To: Sicotte, Hugues Ph.D.
Cc: Tristan Coram; R-help@stat.math.ethz.ch
Subject: Re: [R] Affymetrix data analysis
On Thu, 1 Feb 2007, Sicotte, Hugues Ph.D. wrote:
Tristan,
I have a soft spot for problems analyzing microarrays with R..
for the memory issue
.
-Original Message-
From: Prof Brian Ripley [mailto:[EMAIL PROTECTED]
Sent: Friday, February 02, 2007 5:37 AM
To: Sicotte, Hugues Ph.D.
Cc: Tristan Coram; R-help@stat.math.ethz.ch
Subject: RE: [R] Affymetrix data analysis
On Fri, 2 Feb 2007, Sicotte, Hugues Ph.D. wrote:
Of course, you would
Tristan,
I have a soft spot for problems analyzing microarrays with R..
for the memory issue, there have been previous posts to this list..
But here is the answer I gave a few weeks ago.
If you need more memory, you have to move to linux or recompile R for
windows yourself..
.. But you'll still
Did anyone try to run R under Window Vista, especially Windows Vista
64bit?
Thanks.
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and
I agree about sampling, but.. You can go a little further with your
hardware.
The defaults in R is to play nice and limit your allocation to half
the available RAM. Make sure you have a lot of disk swap space (at least
1G with 2G of RAM) and you can set your memory limit to 2G for R.
See
I don't know about this module, but a general answer is that if you have
missing data, it may affect your model. If your data is missing at
random, then you might be lucky in your model building.
If however your data was not missing at random (e.g. censoring) , you
might build a wrong predictor.
*sigmaMu[im]
} else if (fix mu[im]-3*sigmaMu[im]) {
fix- mu[im]-3*sigmaMu[im]
}
}
_
From: Sicotte, Hugues Ph.D
Hello,
I have been googling for 2 days and I cannot find the answer in
previous posts.
I have a set of d-dimensional data elements (d=11 .. 14), each data
point can be censored at different values both
Lower-limit and upper limit.
N = 2000 sets of vectors of
D=11 data points per vector.
11 matches
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