similar to: repeated-measures multiple regression/ANCOVA/MANCOVA

Hi everybidy Does anybody knows the code in R relate to MANCOVA???I saw somewhere lm(Y`...) but ma not so sure.. Thanks in advance!! Paola -- View this message in context: http://r.789695.n4.nabble.com/MANCOVA-tp4647735.html Sent from the R help mailing list archive at Nabble.com.

Hello, I need to perform a mixed-model (with nesting) MANCOVA, using Type III sums of squares. I know how to perform each of these types of tests individually, but I am not sure if performing a mixed-model MANCOVA is possible. Please let me know. Erika <>< <>< <>< <>< <>< <>< <>< Erika Crispo, PhD candidate

Dear all, I'm trying to compare two sets of variables, the first set is composed exclusively of numerical variables and the second regroups factors and numerical variables. I can't use a Manova because of this inclusion of numerical variables in the second set. The solution should be to perform a Mancova, but I didn't find any package that allow this type of test. I've already

Anyone I'm wondering how to make confidence intervals (bonferroni or simultaneous) when using Manova and Mancova in Splus. I 'm doing manova with four variables on length and four variables on weight (of salmon). The measuring is done on different time points. I'm working on my master in the field between biostatistics and fishery biology. If anyone knows a good book on mancova

Hello, I have subjects in 4 groups: X1, X2, X3, X4. There are 33 subjects in group X1, 35 in X2, 31 in X3, and 46 in group X4. I have 7 continuous response variables (actually integers, approximately normal) measured for each subject: Y1 to Y7, and two continuous covariates C1, C2 (they are both integers). I want to perform all pairwise comparisons for each response variable between groups.

Dear All, I wonder if anyone has written a code for power analysis with repeated measures ANCOVA? I am aware of the following reference: Frison L and Pocock SJ: Repeated Measures in Clinical Trials: analysis using mean summary statistics and its implications for design in Statistics in Medicine, 1992, 11:1685-1704. Statistics in Medicine It will probably be fairly easy to code this up

Dear list, I would like to run an ANCOVA using car::Anova with repeated measures factors, but I can't figure out how to do it. My (between-subjects) covariate always interacts with my within-subject factors. As far as I understand ANCOVA, covariates usually do not interact with the effects of interest but are simply additive (or am I wrong here?). More specifically, I can add a covariate as

Dear All, I am a researcher doing research in plant growth and I have a statistical problem that seems to not be able to handle. Recently, I conducted an experiment about plant growing in three different nutrient-level sediments. I harvested these every three week (three harvests in all). Some growth traits of these plants were recorded (e.g. total biomass, leaf biomass and stem biomass). In

Hello, I am trying to test some results I have for significance. It has been recommended that I use R and I am completely new to this. Set-up: Groups: two groups of 8 subjects (16 total) Two conditions: alert and passive Measurements: responses for three different stimuli (A, B, and C) measured in each condition Experiment: Testing the order of conditions Group one: Alert A, B

I have 3 questions (below). Background: I am teaching an introductory statistics course in which we are covering (among other things) repeated measures anova. This time around teaching it, we are using R for all of our computations. We are starting by covering the univariate approach to repeated measures anova. Doing a basic repeated measures anova (univariate approach) using aov() seems

I haven't been able to find an answer on this that's direct, only implied. In several places I have read that when people asked for sphericity tests they were guided toward lme or mlm models. But, there is no direct indication that the lme method is not subject to the sphericity assumption. In fact, it seems like it should be. Its just a linear model that handles random and

Hello and thanks in advance I am running a glm in R the code is as follows with residual diagnostic code below model4<-glm(Biomass~(Treatment+Time+Site)^2, data=bobB, family=quasi(link="log", variance="mu")) par(mfrow=c(2,2)) plot(model2) to test the effect of grazing exclusion of feral horses for a Phd with following factors: Treatment - 3 levels which are grazed

Hi, I would like to recompile a version of ModemManager supporting the Voice interface. That is why I have to use the source code from the master branch and not the 1.4 version. This also requires me to download libqmi from a repository, because 1.12 is too old for this. How do I verify the source? Unfortunately: - nor git commits, nor tags seem to be signed, - HTTPS-accessible source

Hi, I have been using R to do multiple analyses of variance with two covariates, but recently found that the results in SPSS were very different. I have check several books and web resources and I think that both methods are correct, but I am less familiar with R, so I was hoping someone could offer some suggestions. Oddly simple ANOVA is the same in SPSS and R. Including covariates improves the

(This time with the r-help in the recipients...) Be careful when mixing lme4 and lmerTest together -- lmerTest extends and changes the behavior of various lme4 functions. >From the help page for lme4-anova (?lme4::anova.merMod) > ?anova?: returns the sequential decomposition of the contributions > of fixed-effects terms or, for multiple arguments, model >

Hi, Is there a way to do a sphericity test in R for repeated measures ANOVA (using aov or lme)? I can't find anything about it in the help. Thanks Orou [[alternative HTML version deleted]]

Is there a function that calculates the power of a repeated-measure ANOVA design, e.g., 2 groups, 4 within-subject factors, an average 0.40 correlation between the 4 within factors, etc. I don't think I can use power.anova.test() because it does not consider corr=0.40. I am hoping that someone has already implemented the method by Muller & Barton (1989, JASA 84: 549-555) on how to

Please reread my point #1: the tests of the (individual) coefficients in the model summary are not the same as the ANOVA tests. There is a certain correspondence between the two (i.e. between the coding of your categorical variables and the type of sum of squares; and for a model with a single predictor, F=t^2), but they are not the same in general. The t-test in the model coefficients is simply

Hello all, Everything was working very well. Now when I try to load lmerTest using: library("lmerTest"), I get this error: Error: package or namespace load failed for ?lmerTest? in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]): there is no package called ?purrr? Nothing I've done has worked. I have uninstalled both R and R studio. I've

Hi, I am looking for some tips on how to incorporate known measurement error into the comparison of slopes in an analysis of covariance. Specifically, if I know that each measurement comes with a 5% error, is it possible to 'expand' the confidence intervals around the estimates for the slope of the line passing through the data defined by the grouping variable? With standard linear