search for: milliken

Sorry for the long letter! I have recently started using R. For the start I have tried to repeat examples from Milliken & Johnson "Analysis of Messy Data - Analysis of Covariance", but I can not replicate it in R. The example is chocolate chip experiment. Response variable vas time to dissolve chocolate chip in seconds (time), covariate was time to dissolve butterscotch chip (bstime), and type was a t...

Hello- I have been digging around in the FAQ's and online looking for an answer to my questions, and perhaps someone here can help me. For a statistical experiment, I need to run 3,000,000 ANOVAs, which is taking me a very long time. As a result, I have recoded my analyses in C. However, I cannot find the formula to calculate either the type I or type III sums of squares (in the case of

...ML) or restricted maximum likelihood (REML) estimates for linear mixed-effects models with single or multiple nested levels of random effects. The library includes a SAS_Mixed directory with R transcripts of analyses paralleling those in the book "SAS System for Mixed Models" by Littell, Milliken, Stroup and Wolfinger. Please ensure that you get the lme_2.9-2.tar.gz file. The lme_2.9-1.tar.gz file has problems with installation of the help files and has the wrong version listed in the DESCRIPTION file. (If you really want to install lme_2.9-1.tar.gz you can do so by removing the file lme...

This just an FYI. Yesterday I updated to top of trunk wine and rebuilt and installed. I have a Ford Service CD (for 1999 models) and wine on the exe does not work (on an old Windows ME laptop it all works). The startup.exe sort of seems to work AFAICT, but when it's done and the app exe started the app exe ( installed on disk) cannot seem to find the cd (the app needs the CD, the install

Ben, I would like to test the sulfur on the clover field, nitrogen on the clover field and then test for the presence of interaction. Sorry about the last email, seems it really screwed itself over, here it is again, hopefully nicer: Nitrogen(0) Nitrogen(20) Sulfur(0) 4.54 5.73 Sulfur(3) 4.64

Hi, I am trying to run ANOVA with an interaction term on 2 factors (treat has 7 levels, group has 2 levels). I found the coefficient for the last interaction term is always 0, see attached dataset and the code below: > test<-read.table("test.txt",sep='\t',header=T,row.names=NULL) > lm(y~factor(treat)*factor(group),test) Call: lm(formula = y ~ factor(treat) *

Dear R-users Coming from a proc mixed (SAS) background I am trying to get into the use of (n)lme. In this connection, I have some (presumably stupid) questions which I am sure someone out there can answer: 1) With proc mixed it is easy to get a hold on the estimated variance parameters as they can be put out into a SAS data set. How do I do the same with lme-objects? For example, I can see the