I paln on using R to do the imputation once I figure out how to do it.
- Original Message -
From: Bert Gunter
To: Scott Raynaud
Cc: "r-help@r-project.org"
Sent: Thursday, June 13, 2013 12:45 PM
Subject: Re: [R] Survey imputation
Is this an R question?
Seems like it be
I'm working with NHIS survye data. I'd like the to use muliple imputation
to cover the missing data for the variables in which I'm interested. My
question concerns the use of certain variables in the imputation model.
For example, race would be an important predictor in the imputation
model,
for helping to diagnose and fix the problem.
- Original Message -
From: Ista Zahn
To: Scott Raynaud
Cc: William Dunlap ; "r-help@r-project.org"
Sent: Thursday, June 6, 2013 9:15 AM
Subject: Re: [R] SPlus script
Presumably something like
r <- sshc(50)
print(r)
But if you wer
how to call the function appreciated.
- Original Message -
From: William Dunlap
To: Scott Raynaud ; "r-help@r-project.org"
Cc:
Sent: Wednesday, June 5, 2013 2:17 PM
Subject: RE: [R] SPlus script
Both the R and S+ versions (which seem to differ only in the use of _ for
assignm
Ok. I tried copying the original program, changing all _ to <- and running in
3.0.1. Still no error
message or output. It's a mystery to me.
- Original Message -
From: William Dunlap
To: Scott Raynaud ; "r-help@r-project.org"
Cc:
Sent: Wednesday, June 5, 2013 2
the historical group. Maybe I'm forgetting something here... It's
been a while since I
ran this. Thanks for your help.
- Original Message -
From: William Dunlap
To: Scott Raynaud ; "r-help@r-project.org"
Cc:
Sent: Wednesday, June 5, 2013 2:17 PM
Subject: RE: [R] SPlus
See my comments below.
From: Pascal Oettli
To: Scott Raynaud
Sent: Wednesday, June 5, 2013 10:02 AM
Subject: Re: [R] SPlus script
Hello,
1) It is always nice to say something as "Hello", Tried, but could make it come
out in anything other than fo
This originally was an SPlus script that I modifeid about a year-and-a-half
ago. It worked perfectly then. Now I can't get any output despite not
receiving an error message. I'm providing the SPLUS script as a reference.
I'm running R15.2.2. Any help appreciated.
***
rson so someone will have to tell me the command to
obtain the Linux information requested. Then maybe I can
figure whether to go to the Debian board or not.
- Original Message -
From: Duncan Murdoch
To: Scott Raynaud
Cc: "r-help@r-project.org"
Sent: Tuesday, August 28, 20
- Original Message -
From: Duncan Murdoch
To: Scott Raynaud
Cc: "r-help@r-project.org"
Sent: Tuesday, August 28, 2012 10:40 AM
Subject: Re: [R] Error message
On 28/08/2012 10:31 AM, Scott Raynaud wrote:
> I suddenly started getting the error message below.
> Not sure why.
I suddenly started getting the error message below.
Not sure why. If I type intalled.packages() it
shows Matrix and lme4 installed. Can someone tell
what's going on and what I need to do to remedy the
problem? I'm running on a Linux box.
Loading required package: Matrix
Loading requ
Ok. When I type in sudo add-apt-repository ppa:marutter/rrutter
I get a prompt for a password. I enter my domain password and
get some print about adding the ppa and requeting that I press
enter. I press enter and this is followed by print stating that
the key B04C661B is being requested from h
iller
To: Scott Raynaud ; "r-help@r-project.org"
Cc:
Sent: Wednesday, March 7, 2012 12:34 PM
Subject: Re: [R] Apt-get
Google is really useful for questions like this.
http://cran.r-project.org/bin/linux/ubuntu/
-
I have a box set up with Kubuntu as the OS. I didn't perform
the R install but was told the version of R available via the
apt-get command was 2.13.1. Is there any way to get 2.14.0
in that same manner?
__
R-help@r-project.org mailing list
https://sta
My IT people have set up a Kubuntu box with an RWkard front
end. I have OpenBLAS set up as a shared BLAS but I'm not
sure how to get R to see it. A.3.1 of the installation docs talks
about it but I'm not clear if I need a option on my startup line or
if I need to find a config file. The BLAS is
The follwing is a code snippet from a power simulation
program that I'm using:
estbeta<-fixef(fitmodel)
sdebeta<-sqrt(diag(vcov(fitmodel)))
for(l in 1:betasize)
{
cibeta<-estbeta[l]-sgnbeta[l]*z1score*sdebeta[l]
if(beta[l]*cibeta>0) powaprox[[l]]<-powaprox[[l]]+1
Looked at several posts and the installtions docs and still not clear.
If I compile source codes and then somewhere down the line add
a new package, then I have to recompile my entire installation,
correct? Seems like this is the sentiment of the emails I read.
___
I'm setting up a Linux box to run R. I ususally run in a Windows envrionment
but after
reading the docs I'm not sure what to expect in terms of the front end
appearance in
Linux. Does it resemble Windows or will I need Rkward or R Commander?
__
R-h
I'm setting up an Ubuntu virtual machine that will use 4-Intel Xeon CPU x5650.
I'd like to compile R with a BLAS but the question is whcih one. Seems
like the only free ones are GotoBLAS which I'm not sure is being maintained
for newer CPUs and OpenBLAS for Loongson CPUs. I saw a favorable re
So does anyone use this package?
- Original Message -
From: Scott Raynaud
To: "r-help@r-project.org"
Cc:
Sent: Tuesday, January 10, 2012 1:40 PM
Subject: grplasso
I want to use the grplasso package on a data set where I want to fit a linear
model. My interest is in i
I want to use the grplasso package on a data set where I want to fit a linear
model. My interest is in identifying significant beta coefficients. The
documentation is a bit cryptic so I'd appreciate some help.
I know this is a strategy for large numbers of variables but consider a simple
cas
but I'd need to square my x[,3] values before multiplying
them by beta. Can I say:
x[,3]<-(rnorm(length,meanpred[3],sqrt(varpred[3])))^2 in
lieu of x[,3]<-rnorm(length,meanpred[3],sqrt(varpred[3]))?
- Original Message -
From: peter dalgaard
To: Scott Raynaud
Cc: "r-hel
I have the following code (which I did not write) that generates
data based on a logistic model. I'm only getting a single record
with y=1. It seems implausible that in 50k cases that have a
single y=1. Does that ring alarm bells for anyone else?
beta<-c(-1.585600,-0.246900)
betasize<-lengt
I'm using an R program (which I did not write) to simulate multilevel data
(subjects in locations) used in power calculations. It uses lmer to fit a
mixed logistic model to the simulated data based on inputs of means,
variances, slopes and proportions:
(fitmodel <- lmer(modelformula,data,famil
recompiling with BLAS and pnmath would be
a better option.
Â
My main question is how to handle the random number generation
when the child processes are spawned. That's a problem no matter
what method I choose to create the threads.
Â
From: Tal Galili
To: Scott Raynaud
Cc: &quo
I want to take advantage of my multicore CPU to speed up a loop in a
simulation program. I didn’t write the code,
but the iterations appear independent to me, at least in the sense that the
results of one loop do not depend on
previous ones. Right now I’m relegated to a Windows box that runs
My responses are in brackets below, plus a final note after the main text.
- Original Message -
From: Uwe Ligges
To: Scott Raynaud
Cc: "r-help@r-project.org"
Sent: Thursday, November 17, 2011 9:16 AM
Subject: Re: [R] modelling and R misconceptions; was: package installtio
See my responses in brackets below.
- Original Message -
From: Rolf Turner
To: Scott Raynaud
Cc: "r-help@r-project.org"
Sent: Wednesday, November 16, 2011 6:04 PM
Subject: Re: [R] package installtion
On 17/11/11 05:37, Scott Raynaud wrote:
> That might be an option if
(fitmodel <- lmer(modelformula,data,family=binomial(link=logit),nAGQ=1))
mtrace(fitmodel)
I added the mtrace to catch the error, but get the following:
Error in mtrace(fitmodel) : Can't find fitmodel
How can I debug this?
- Original Message -
From: Rolf Turner
To: Scott Rayn
MLWin sets the associated fixed
effects to 0. When R choked, I increased from 20 to 60 as my minimum as
suggested in the MLPowSim documentation. Still no luck.
- Original Message -
From: Uwe Ligges
To: r-help@r-project.org
Cc: Scott Raynaud
Sent: Wednesday, November 16, 2011 1:01
I like R since it's free, but I can't work around the
problem
I'm currently having.
- Original Message -
From: Uwe Ligges
To: Scott Raynaud
Cc: "r-help@r-project.org"
Sent: Wednesday, November 16, 2011 9:48 AM
Subject: Re: [R] package installtion
On 16.11
nitial par (65)
The first 25 are like 26. So, it seems I'm having the same problem as before.
Again, if this is due to a column of zeroes in my x matrix, the best solution
would be to assign zeroes to the fixed effects, but I'm not sure if there's a
way to do this.
- Forwarde
an be done. I've looked at the
documentation but it's still not clear.
- Original Message -
From: Uwe Ligges
To: Scott Raynaud
Cc: "r-help@r-project.org"
Sent: Wednesday, November 16, 2011 2:44 AM
Subject: Re: [R] package installtion
On 15.11.2011 21:34, Scott Rayn
gn matrix, but I'm not sure. Any
other possibilities here and how can I diagnose?
----- Original Message -
From: Scott Raynaud
To: "r-help@r-project.org"
Cc:
Sent: Tuesday, November 15, 2011 2:11 PM
Subject: Re: package installtion
Never mind-I fixed it.
My script is throwing the fo
no longer available on lme4 but I have
AGQ specified.
Here's the line that fits my model:
(fitmodel <- lmer(modelformula,data,family=binomial(link=logit),method="AGQ"))
If I change it to nAGQ I still get an error.
Any ideas as to what's going on?
----- Original Mess
I'm getting the following error in a script: "Error: could not find function
"lmer." I'm wondering of my lme4 package is installed incorrectly. Can
someone tell me the installation procedure? I looked at the support docs but
couldn't translate that into anything that would work.
__
I'm using Bill Browne's MLPowSim to do some sample size estimation for a
multilevel model. It creates an R program to carry out the estimation using
lmer in the lme4 library. When there are predictors with more than two
categories one has to modify the code generated to account for the multino
I need some help interpreting the following code which is part of a mutlilevel
model simulation with 2 levels. I've put in comments with my understanding of
the code, but I'm not sure how [i2id] is functioning. It's defined in another
part of the program as l2id<-rep(c(1:n2),each=n1) which loo
Is there a package that will perform power calculations for mixed model ordinal
logistic regression? I searched and came up with nothing.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
Is there a package that will perform power calculations for mixed model ordinal
logistic regression? I searched an came up with nothing.
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/list
istics
From: William Dunlap
@r-project.org>
Sent: Wednesday, October 5, 2011 11:25 AM
Subject: RE: [R] SPlus to R
I think you only have to change the multi-argument
returns to call list. You can remove the name from
the single argument return, as it will be ign
I did some testing and I believe the program is operating properly. It takes
some time to finish, especially as sample sizes get larger, but I seem to be
able to reproduce the results from the original paper. Right now I'm most
interested in method 3. I set nc=40 and d=.2 as in the paper. Th
It seems I have things set up correctly. I suspect that the arguments
sshc(100,10) are the isuue. It seems that the 100,10 is not necessary since
the code itself specifies the arguments. It runs and produces a power curve if
I simply type sshc() but it also seems to try to keep running someth
igges
Cc: Barry Rowlingson ; "r-help@r-project.org"
Sent: Wednesday, October 5, 2011 8:03 AM
Subject: Re: [R] SPlus to R
On 05.10.2011 13:44, Scott Raynaud wrote:
> Hope I did this right. I repeated what I'd done before:
>
> 1) Opened script
> 2) Selected run all (
Hope I did this right. I repeated what I'd done before:
1) Opened script
2) Selected run all (this produced my inital post
Then as suggested I:
3) Typed ls()
4) Saw that the function was present and issued sshc(100,10)
Here's what I got:
> ls()
[1] "c.searchd" "convex" "Epower" "ne
I'm trying to convert an S-Plus program to R. Since I'm a SAS programmer I'm
not facile is either S-Plus or R, so I need some help. All I did was convert
the underscores in S-Plus to the assignment operator <-. Here are the first
few lines of the S-Plus file:
sshc _ function(rc, nc, d, meth
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