Displaying 8 results from an estimated 8 matches similar to: "passing arguments from nnet to optim"
2006 Apr 10
5
p values for a GEE model
Hi all,
I have a dataset in which the output Y is observed on two groups of
patients (treatment factor T with 2 levels).
Every subject in each group is observed three times (not time points but
just technical replication).
I am interested in estimating the treatment effect and take into account
the fact that I have repeated measurements for every subject.
If I do this with repeated measures
2011 Sep 16
1
parsing error when using R CMD check
Hi all,
I am trying to run R CMD check on a package which passes R CMD INSTALL.
The check stops because of a parsing problem in the example of a given function at this line:
return(res[res$ID %in% list$targetGeneSets,])
The code is ok, since it runs if I paste it in R.
Is this a known parsing issue in R CMD check?
Thanks,
Adi
> sessionInfo()
R version 2.13.0 (2011-04-13)
Platform:
2004 May 04
1
nnet function
Hi I got two questions about the nnet function in R. I would be thankful to
have an answer.
1) Does the function intrinsically normalize the X and Y matrices before
the training, or normalization should be
done by the user.
2) I need to understand the $wts matrix. I do imagine that it is a single
column transformation of the two
matrices of weighs (input to hidden Ninputs+1 x Nodes) and
2004 Jun 15
1
building R libraries (windows) - R CMD check problems
Hi everyone,
I am trying to build a R library called nnNorm but I have some troubles
checking and installing it.
Here is the setup:
If I don't use a inst\doc directory(with the vignettes files) in my source,
the install step is working fine:
C:\test>RCMD INSTALL nnNorm
---------- Making package nnNorm ------------
adding build stamp to DESCRIPTION
installing R files
installing
2015 Oct 01
0
req->nr_phys_segments > queue_max_segments (was Re: kernel BUG at drivers/block/virtio_blk.c:172!)
On Thu, Oct 01, 2015 at 03:10:14AM +0200, Thomas D. wrote:
> Hi,
>
> I have a virtual machine which fails to boot linux-4.1.8 while mounting
> file systems:
>
> > * Mounting local filesystem ...
> > ------------[ cut here ]------------
> > kernel BUG at drivers/block/virtio_blk.c:172!
> > invalid opcode: 000 [#1] SMP
> > Modules linked in: pcspkr
2015 Oct 01
4
kernel BUG at drivers/block/virtio_blk.c:172!
Hi,
I have a virtual machine which fails to boot linux-4.1.8 while mounting
file systems:
> * Mounting local filesystem ...
> ------------[ cut here ]------------
> kernel BUG at drivers/block/virtio_blk.c:172!
> invalid opcode: 000 [#1] SMP
> Modules linked in: pcspkr psmouse dm_log_userspace virtio_net e1000 fuse nfs lockd grace sunrpc fscache dm_snapshot dm_bufio dm_mirror
2015 Oct 01
4
kernel BUG at drivers/block/virtio_blk.c:172!
Hi,
I have a virtual machine which fails to boot linux-4.1.8 while mounting
file systems:
> * Mounting local filesystem ...
> ------------[ cut here ]------------
> kernel BUG at drivers/block/virtio_blk.c:172!
> invalid opcode: 000 [#1] SMP
> Modules linked in: pcspkr psmouse dm_log_userspace virtio_net e1000 fuse nfs lockd grace sunrpc fscache dm_snapshot dm_bufio dm_mirror
2005 Apr 06
0
nnet classification using unbalanced classes
Hi everybody,
I want to obtain a classification model using the nnet function for a
simple two class problem.
My problem is that number of samples in the first class (n1) is about twice
higher than the one
in class two (n2). I would like to use the weights argument in the nnet
function to equalize the prior probabilities, but I am not
sure which values I should assign.
My first guess would be