Where I work a lot of people end up using Excel spreadsheets for storing
data. This has limitations and maybe some less than obvious problems. I'd
like to recommend a uniform way for storing and archiving data collected
in the department. Most of the data could be stored in simple csv type
files
rab45 == rab45 rab45
on Thu, 11 Aug 2005 09:25:14 -0400 (EDT) writes:
.
rab45 I'm not sure what your point is. I'm getting a compilation
error for a
rab45 package that should compile without errors. The error message
doesn't say
rab45 anything about
I fit the following model using glmmPQL from MASS:
fit.glmmPQL -
glmmPQL(ifelse(class==Disease,1,0)~age+x1+x2,random=~1|subject,family=binomial)
summary(fit.glmmPQL)
The response is paired (pairing denoted by subject), although some
subjects only have one response. Also, there is a perfect
Is there an R package available that would facilitate doing a power/sample
size analysis for linear mixed effects models?
I have seen the Java applets made available by Russell Length which would
seem to be able to handle most any lme, but there is little documentation
and it's not clear how the
[EMAIL PROTECTED] wrote:
Jerry,
Here are the two R packages.
Thanks.
Rick
All the fortran codes compile OK so the problem is invoking the compiler
you
want. One approach which is a work around is to rename the gfortran
executable
to somthing else like gfortran-save and create a link
[EMAIL PROTECTED] wrote:
Jerry,
Here are the two R packages.
Thanks.
Rick
All the fortran codes compile OK so the problem is invoking the compiler
you
want. One approach which is a work around is to rename the gfortran
executable
to somthing else like gfortran-save and create a link
On Wed, 10 Aug 2005 [EMAIL PROTECTED] wrote:
Thompson's Manual to Accompany Agresti's book refers to a package named
repeated. It's not on CRAN from what I can see. I have seen rpm's for
it. Where is the best place to download this package?
See the FAQ, Q5.1.5. As to the `best' place, it
On Wed, 10 Aug 2005 [EMAIL PROTECTED] wrote:
Thompson's Manual to Accompany Agresti's book refers to a package named
repeated. It's not on CRAN from what I can see. I have seen rpm's for
it. Where is the best place to download this package?
See the FAQ, Q5.1.5. As to the `best' place, it
When I go into binnest.f, here is what I see:
C Calculate First Derivative
Do kk = 1, t1
Gradient(kk) = Gradient(kk) + (D1_beta(kk) / Li)
End do
Do kk = 1, t2
Gradient(t1+kk) = Gradient(t1+kk) + (D1_Sig1(kk) / Li)
End do
In my quest to install the repeated package, I have also to install the
rmutil package. (BTW, I'm running Fedora Core 4 and R 2.1.1.) But I now
get several compilation errors for rmutil and I'm afraid to try to fix
them:
[EMAIL PROTECTED] R]# R CMD INSTALL rmutil
* Installing *source* package
You know what spams are?
It is highly recommended to try such basic things and to get the
depencies right _before_ posting to mailing lists.
Regards
Michael
[EMAIL PROTECTED] wrote:
When I go into binnest.f, here is what I see:
C Calculate First Derivative
Do kk = 1, t1
Please note that you are using gfortran rather than g77 - they are not the
same, and very possibly differ in how they react to code. The 1e301
constants do overflow the maximum real value (of the order of 3e+38), but
1d301 is less than the maximum double value of the order of 1.7e+308. So
Thompson's Manual to Accompany Agresti's book refers to a package named
repeated. It's not on CRAN from what I can see. I have seen rpm's for
it. Where is the best place to download this package?
Rick B.
__
R-help@stat.math.ethz.ch mailing list
When trying to fit a generalized linear mixed model using glmmPQL:
fit0 - glmmPQL(ifelse(response==A,1,0)~gender,data=set1,
random=~1|subject,family=binomial)
iteration 1
Error in solve.default(pdMatrix(a, fact = TRUE)) :
Lapack routine dgesv: system is exactly singular
Could this
When trying to fit a generalized linear mixed model using glmmPQL:
fit0 - glmmPQL(ifelse(response==A,1,0)~gender,data=set1,
random=~1|subject,family=binomial)
iteration 1
Error in solve.default(pdMatrix(a, fact = TRUE)) :
Lapack routine dgesv: system is exactly singular
Could
The stat.table function in the Epi package won't do standard deviations.
It didn't seem that it would be difficult to add an sd function to the
stat.table function. Following the example for the mean, I set up a
similar function for the sd (and included it as an options) but it just
won't work. (I
After you copy stat.table to stat.table2 and modify stat.table2
try:
environment(stat.table2) - environment(stat.table)
(you should only need to do that 1 time after creating/editing
stat.table2).
hope this helps,
Greg Snow, Ph.D.
Statistical Data Center, LDS Hospital
Intermountain
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