Displaying 5 results from an estimated 5 matches for "fccc".
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2006 Apr 28
3
NoMemoryError Oracle
Hello,
I''m trying to run rails on a Solaris 10 box with Ruby/OCI8, but I''m
getting the following errors when trying to start up.
# script/server
=> Booting WEBrick...
/usr/local/lib/ruby/gems/1.8/gems/rails-1.1.2/lib/commands/servers/
webrick.rb:49:in `[]='': failed to allocate memory (NoMemoryError)
from /usr/local/lib/ruby/gems/1.8/gems/rails-1.1.2/lib/
2018 Apr 10
0
glusterfs disperse volume input output error
...i try to read this from mount point i recieve error,
# md5sum /mnt/glfs/vmfs/slake-test-bck-m1-d1.qcow2
md5sum: /mnt/glfs/vmfs/slake-test-bck-m1-d1.qcow2: Input/output error
Configuration and status of volume is:
# gluster volume info vol1
Volume Name: vol1
Type: Disperse
Volume ID: a7d52933-fccc-4b07-9c3b-5b92f398aa79
Status: Started
Snapshot Count: 0
Number of Bricks: 1 x (13 + 2) = 15
Transport-type: tcp
Bricks:
Brick1: glfs-node11.local:/data1/bricks/brick1
Brick2: glfs-node12.local:/data1/bricks/brick1
Brick3: glfs-node13.local:/data1/bricks/brick1
Brick4: glfs-node14.local:/data1/bric...
2005 Aug 18
1
standard errors for expression intensities
Hello!
When I use the functions rma() or justrma() in the Bioconductor affy
package, the standard errors for the expression estimates computed by the
function se.exprs() is a matrix of NA's. I am wondering if any of you have
encountered this problem and if there is a solution. Any help would be
appreciated.
Thanks,
Karthik.
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2007 Jun 26
1
survreg error
Hello,
I am using survreg for a simulation where data is randomly generated from a
Weibull distribution and the model parameters estimated. When this is
embedded within a loop and the process repeated for different datasets, the
program aborts after a few runs in most cases giving the following message:
Error in survreg.fit(X, Y, weights, offset, init = init, controlvals =
control, :
2005 Aug 25
4
covariance matrix under null
Hello
I am fitting a Cox PH model using the function coxph(). Does anyone know how
to obtain the estimate of the covariance matrix under the null hypothesis.
The function coxph.detail() does not seem to be useful for this purpose.
Thanks,
KD.
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