Displaying 20 results from an estimated 1000 matches similar to: "grouping for lme with nested repeated measurements"
2004 Jan 20
2
repeated measurements with R
Hello All,
I have a more statistical question, and how this is implemented in R.
The problem is the following:
We have 2 different solutions (samples), which are filtered and then
the concentration of the filtrate is measured.
We want to evaluate how the filter proces and the concentration
measurement influences the detection of the difference of the two
solutions and which step has which
2003 Nov 21
2
kruskal wallis for manova?
Hello,
Is there like the kruskal wallis test in relation to ANOVA (no
restrictions on normallity and variance homogenity) something (in R)
for MANOVA?
thanks
--
Dr.Nicolaas Busscher Universit?t GH Kassel
Nordbahnhofstrasse: 1a, D-37213 Witzenhausen
Phone: 0049-(0)5542-98-1715, Fax: 0049-(0)5542-98-1713
2003 Aug 06
1
problems with lda
enclosed a simple R script (and a data file) , with calls lda similar
to the example with the iris data in the documentation. it is not
working and i dont understand the error message. can anybody help me?
i am using R 1.5.1 (2002.06.17) on debian woody stable. thanks
--
Dr.Nicolaas Busscher Universit?t GH Kassel
Nordbahnhofstrasse: 1a, D-37213 Witzenhausen
Phone: 0049-(0)5542-98-1715, Fax:
2002 Oct 31
7
Symbols for male/female
Dear all,
I would like to use the biological symbols for male and female as plotting
symbols in a scatterplot (ideally filled and non-filled). R does not seem
to have these symbols using pch= in plot() nor are they implemented via
expression() or at least I did not find them. I found that the symbols are
e.g. available in the wasysym and the marvosym package in LaTeX.
I have coded two very rough
2002 Oct 31
7
Symbols for male/female
Dear all,
I would like to use the biological symbols for male and female as plotting
symbols in a scatterplot (ideally filled and non-filled). R does not seem
to have these symbols using pch= in plot() nor are they implemented via
expression() or at least I did not find them. I found that the symbols are
e.g. available in the wasysym and the marvosym package in LaTeX.
I have coded two very rough
2007 Aug 22
4
within-subject factors in lme
I don't think, this has been answered:
> I'm trying to run a 3-way within-subject anova in lme with 3
> fixed factors (Trust, Sex, and Freq), but get stuck with handling
> the random effects. As I want to include all the possible random
> effects in the model, it would be something more or less
> equivalent to using aov
>
> > fit.aov <- aov(Beta ~
>
2003 Aug 06
3
problems with lda , data included, can somebody test with the new version
enclosed a simple R script (and a data file, and the output) , with
calls lda similar to the example with the iris data in the
documentation. it is not working and i dont understand the error
message. can anybody help me? i am using R 1.5.1 (2002.06.17) on
debian woody stable.
I would like to avoid updating now, because i want to keep the system
in "stable". can somebody test, if the
2005 Feb 01
4
Split-split plot ANOVA
Does someone out there have an example of R-code for a split-split plot ANOVA using aov or another function? The design is not balanced. I never set up one in R before and it would be nice to see an example before I tackle a very complex design I have to model.
Thanks,
Mike
Mike Saunders
Research Assistant
Forest Ecosystem Research Program
Department of Forest Ecosystem Sciences
University of
1999 Jan 25
2
graphical paramters to boxplot
Dear all,
is this a bug or do a miss something (this concerns version 0.63.1 on
Linux)?
> boxplot (c (1, 2, 3, 4, 5), ylim= c (-5, 5))
Warning: parameter "ylim" couldn't be set in high-level plot() function
> boxplot (c (1, 2, 3, 4, 5), pars= list (ylim= c (-5, 5)))
Warning: parameter "ylim" couldn't be set in high-level plot() function
>
and actually in
2004 Jun 15
2
multiple error strata in aov
I am trying to perform a model 3 ANOVA for a 2 factor (say factor A and
factor B) anova in which factor A is fixed and factor B is random.
Therefore, the error term for the test of factor A should be the A:B
interaction term and the error terms for B and A:B should be the model
residual (within) term. I have tried to work out how to specify such
error strata using aov, however, I have had
2007 Jan 08
2
Contrasts for ordered factors
Dear all,
I do not seem to grasp how contrasts are set for ordered factors. Perhaps someone can elighten me?
When I work with ordered factors, I would often like to be able to reduce the used polynomial to a simpler one (where possible). Thus, I would like to explicetly code the polynomial but ideally, the intial model (thus, the full polynomial) would be identical to one with an ordered factor.
2004 Apr 01
2
modelling nested random effects with interactions in R
Hi there
Please excuse this elementary question, but I have been fumbling with this for
hours and can't seem to get it right.
I have a nested anova, with random factor "lakefac" nested within
factor "fishfac" (fixed), with an additional fixed factor "Habfac". If I
consider everything as fixed effects, it's addmittedly not the correct model,
but I can at
2004 Jun 11
2
lme newbie question
Hi
I try to implement a simple 2-factorial repeated-measure anova in the
lme framework and would be grateful for a short feedback
-my dependent var is a reaction-time (rt),
-as dependent var I have
-the age-group (0/1) the subject belongs to (so this is a
between-subject factor), and
-two WITHIN experimental conditions, one (angle) having 5, the other
3 (hands) factor-levels;
1999 Jan 08
1
avoiding (another) error
Dear all,
Many thanks to all who always so quickly respond with helpful hints!
Currently I am working with R 0.63.1 on SuSE 5.2 which I installed this
morning within about half an hour: my deepest compliments to the
developpers! (I had still 0.62.2 before.)
This time I am trying the following:
> xy <- list (a= c (1, 2, NA), b= c (2, 3))
> list.name <- "xy"
> get
2007 Aug 02
6
Error message in lmer
I do not think anyone has answered this.
> I'm trying to run a simple one-way ANCOVA with the lmer
> function in R package lme4, but have encountered some
> conceptual problem. The data file MyData.txt is like this:
>
> Group Subj Cov Resp
> A 1 3.90 4.05
> A 2 4.05 4.25
> A 3 4.25 3.60
> A 4 3.60 4.20
> A 5 4.20 4.05
> A 6 4.05 3.85
2005 Oct 19
1
anova with models from glmmPQL
Hi !
I try to compare some models obtained from glmmPQL.
model1 <-
glmmPQL(y~red*yellow+I(red^2)+I(yellow^2)+densite8+I(densite8^2)+freq8_4
+I(freq8_4^2), random=~1|num, binomial);
model2 <-
glmmPQL(y~red*yellow+I(red^2)+I(yellow^2)+densite8+I(densite8^2)+freq8_4
, random=~1|num, binomial);
anova(model1, model2)
here is the answer :
Erreur dans anova.lme(model1, model2) : Objects must
2008 Jan 29
1
Guidance for reporting results from lme test?
En innebygd og tegnsett-uspesifisert tekst ble skilt ut...
Navn: ikke tilgjengelig
Nettadresse: https://stat.ethz.ch/pipermail/r-help/attachments/20080129/5f8a6ac4/attachment.pl
2005 Feb 14
1
testing equality of variances across groups in lme?
Hello. I am fitting a two-level mixed model which assumes equality of
variance in the lowest-level residuals across groups. The call is:
fit3<-lme(CLnNAR~CLnRGR,data=meta.analysis,
+ na.action="na.omit",random=~1+CLnRGR|study.code)
I want to test the assumption of equality of variances across groups at
the lowest level. Can someone tell me how to do this? I know that one
2002 Nov 06
3
R bug? (if-else problem in main program)
Hi everybody,
I've found a very interesting problem in R: the if-else statement doesn't
work in a main program. Sounds crazy, but true.
I tried this very easy example, and I got syntax error at the "else" line.
Example:
-------
a <- 1
if ( a == 1 )
print("yes")
else
print("no")
--------
I tried on Windows and on Linux, but none of them works.
2007 Aug 07
2
GLMM: MEEM error due to dichotomous variables
I am trying to run a GLMM on some binomial data. My fixed factors include 2
dichotomous variables, day, and distance. When I run the model:
modelA<-glmmPQL(Leaving~Trial*Day*Dist,random=~1|Indiv,family="binomial")
I get the error:
iteration 1
Error in MEEM(object, conLin, control$niterEM) :
Singularity in backsolve at level 0, block 1
>From looking at previous help