Displaying 20 results from an estimated 9000 matches similar to: "Summary: proc mixed vs. lme"
2002 Oct 09
3
proc mixed vs. lme
Dear All,
Comparing linear mixed effect models in SAS and R, I found the following
discrepancy:
SAS R
random statement random subj(program); random = ~ 1 |
Subj
-2*loglik 1420.8 1439.363
random effects
variance(Intercept) 9.6033 9.604662
2002 Nov 07
4
Preferable contrasts?
Dear all,
I'm working with Cox-regression, because data could be censored.
But in this particular case not.
Now I have a simple example: PRO and PRE are (0,1) coded.
The response is not normal distributed.
We are interested in a model which could describe interaction.
But my results are depending strongly in the choose of the contrast option.
It is clear that there is some dependence in
2003 Jul 03
2
Bug in plotting groupedData-objects
Dear Experts,
May be the problem is still solved, however I tried to find the answer in
the archives:
I use:
> R.version
_
platform i386-pc-mingw32
arch i386
os mingw32
system i386, mingw32
status
major 1
minor 7.1
year 2003
month 06
day 16
2002 Sep 23
2
R crash with internet2.dll
Hi,
I'm using:
platform i386-pc-mingw32
arch i386
os mingw32
system i386, mingw32
status
major 1
minor 5.1
year 2002
month 06
day 17
language R
and I would like to apply:
> update.packages()
trying URL
2005 Aug 05
3
Help, my RGui is speaking French!
Dear R-helpers,
First of all I have nothing against the French language!
But now my problem, yesterday I installed R 2.1.1
and I had to experience that my RGui is speaking French.
My windows locals is French (Switzerland).
I'm used to English and I want to reset my RGui to English.
I was seeking for the solution in the archives,
however not successfully.
By the way the searchable archives
2003 Dec 19
1
problem with rm.impute of the Design library
Hello,
I'm using:
platform i386-pc-mingw32
arch i386
os mingw32
system i386, mingw32
status
major 1
minor 8.1
year 2003
month 11
day 21
language R
and I get the following error with:
library(Design)
df <- list(pre=c(0,, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1,
2002 Nov 06
1
estimate statement?
Dear all,
I have a question about linear models.
Is there something comparable to the estimate statement in SAS?
E.g.
proc mixed data=test;
class x1 x2;
model y=x1|x2 /s;
estimate 'x1' x1 -1 1 x1*x2 -0.5 -0.5 0.5 0.5;
estimate 'x2' x2 -1 1 x1*x2 -0.5 0.5 -0.5 0.5;
run;
Thanks for the help,
Dominik
Dominik Grathwohl
Biostatistician
Nestl? Research
2006 Jul 25
1
Multiple tests on repeated measurements
Dear R-helpers:
My question is how do I efficient and valid correct for multiple tests in a repeated measurement design:
Suppose we measure at two distinct visits with repeated subjects a treatment difference on the same variable.
The treatment differences are assessed with a mixed model and adjusted by two methods for multiple tests:
# 1. Method: Adjustment with library(multcomp)
2002 Oct 21
4
mixed effect-models
Hello,
?
I believe that in R, it is not possible to analyze mixed effect-models
when the distribucion is not gaussian (p.e. binomial or poisson), isn't?
?
Somebody can suggest me alternative?
?
thanks
?
xavi
?
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r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info",
2006 Jul 11
2
Multiple tests on 2 way-ANOVA
Dear r-helpers,
I have a question about multiple testing.
Here an example that puzzles me:
All matrixes and contrast vectors are presented in treatment contrasts.
1. example:
library(multcomp)
n<-60; sigma<-20
# n = sample size per group
# sigma standard deviation of the residuals
cov1 <- matrix(c(3/4,-1/2,-1/2,-1/2,1,0,-1/2,0,1), nrow = 3, ncol=3, byrow=TRUE,
dimnames =
2002 Nov 13
1
building a formula for glm() with 30,000 independent vari ables
Dear Prof. Ripley,
you mention the theory of perceptrons.
Could you please point me to an introduction paper or book?
Thanks in previous,
Dominik
> -----Original Message-----
> From: ripley at stats.ox.ac.uk [mailto:ripley at stats.ox.ac.uk]
> Sent: dimanche, 10. novembre 2002 18:55
> To: Ben Liblit
> Cc: r-help at stat.math.ethz.ch
> Subject: Re: [R] building a formula for
2005 Apr 05
1
nlme & SASmixed in 2.0.1
I assigned a class the first problem in Pinheiro & Bates, which uses the
data set PBIB from the SASmixed package. I have recently downloaded
2.0.1 and its associated packages. On trying
library(SASmixed)
data(PBIB)
library(nlme)
plot(PBIB)
I get a warning message
Warning message:
replacing previous import: coef in: namespaceImportFrom(self,
asNamespace(ns))
after library(nlme) and a
2003 Sep 01
3
How to free memory used by R.
Hi,
I want to free memory used by R. The usage of rm and gc give no result. I'm
running an algorithm consuming a huge memory and I need to recover the
memory used by R between 2 call of my algorithm.
Thank you in advance for your help.
e-mail: sofiane.lariani at rdls.nestle.com
Sofiane Lariani
2003 May 02
2
stepAIC/lme (1.6.2)
Based on the stepAIC help, I have assumed that it only was for lm, aov, and
glm models. I gather from the following correspondence that it also works
with lme models.
Thomas Lumley 07:40 a.m. 28/04/03 -0700 4 Re: [R] stepAIC/lme problem
(1.7.0 only)
Prof Brian Ripley 04:19 p.m. 28/04/03 +0100 6 Re: [R] stepAIC/lme problem
(1.7.0 only)
Prof Brian Ripley 06:09 p.m. 29/04/03 +0100 6 Re: [R]
2002 Mar 31
1
lme degrees of freedoms: SAS and R
Dear list,
I ran a mixed effect model using R 1.4.1 and SAS 8.0 on the SIMS data found
in the SASmixed package and found that the degrees of freedoms for fixed
effects are very different.
From R, df = n - v -1 where n is total # of observations, v is the # of
levels for the grouping factor. From SAS df = v -1. Am I wrong about this
or can somebody explain which is correct and why?
Thanks a
2003 May 05
1
multcomp and lme
I suppose that multcomp in R and multicomp in S-Plus are related and it
appears that it is possible to use multicomp with lme in S-Plus given the
following correspondence on s-news
sally.rodriguez at philips.com 12:57 p.m. 24/04/03 -0400 7 [S] LME summary
and multicomp.default()
Is it possible to use multicomp with lme in R and if so what is the syntax
from a simple readily available
2004 May 27
1
Crossed random effects in lme
Dear all,
In the SASmixed package there is an example of an analysis of a split-plot experiment. The model is
fm1Semi <- lme( resistance ~ ET * position, data = Semiconductor, random = ~ 1 | Grp)
where Grp in the Semiconductor dataset is defined as ET*Wafer. Is it possible to specify the grouping directly some way, e.g. like
fm1Semi <- lme( resistance ~ ET * position, data =
2019 Jan 17
3
long-standing documentation bug in ?anova.lme
tl;dr anova.lme() claims to provide sums of squares, but it doesn't. And
some names are misspelled in ?lme. I can submit all this stuff as a bug
report if that's preferred.
?anova.lme says:
When only one fitted model object is present, a data frame with
the sums of squares, numerator degrees of freedom, denominator
degrees of freedom, F-values, and P-values
The output of
fm1
2012 Jul 02
5
ggplot: dodge positions
Dear all,
I want to get a series of boxplots (grouped by two factors) and I want to overlay the original observations and the following code does almost what I want:
library(ggplot)
ddf <- data.frame(x=factor(rep(LETTERS[1:4], each=30)), y = runif(120,0,10), grp = factor(rep(rep(1:3, 10), 4)))
ggplot(ddf, aes(x, y, colour=grp)) + geom_boxplot() + geom_point()
Yet the position of the points
2006 May 15
1
anova statistics in lmer
Dear list members,
I am new to R and to the R-help list. I am trying to perform a
mixed-model analysis using the lmer() function. I have a problem with
the output anova table when using the anova() function on the lmer
output object: I only get the numerator d.f., the sum of squares and the
mean squares, but not the denominator d.f., F statistics and P values.
Below is a sample output, following