similar to: Hotellings T^2

Full_Name: Yves Rosseel Version: 2.2.1 OS: Submission from: (NULL) (157.193.116.152) The code below sketches a possible implementation of a function 'mlh.mlm' which I think would be a good complement to the 'anova.mlm' function in the stats package. It tests a single linear hypothesis of the form H_0: LBT'= 0 where B is the matrix of regression coefficients; L is a matrix

The `examples' section says plot.mlm # to see how the "NotYetImplemented" # reference is made automagically ^ Best, Torsten

Thank you for reading. I am trying to get sphericity values, and I understood I need to use mlm, but how do I implement a nested within subject design in mlm? I already read the R newsletter, fox chapter appendix, EZanova, and whatever I could find online. My original ANOVA anova(aov(resp ~ sucrose*citral, random =~1 | subject, data = p12bl, subset = exps==1)) Or anova(aov(resp ~

Dear list member, My question is related to input file format to an Anova from car package. Here is an example of what I did: My file format is like this (and I dislike the idea that I will need to recode it): Hormone day Block Treatment Plant Diameter High N.Leaves SH 23 1 1 1 3.19 25.3 2 SH 23 1 1 2 3.42 5.5 1 SH 23 1 2 1 2.19 5.2 2 SH 23 1 2 2 2.17 7.6 2 CH 23 1 1 1 3.64 6.5 2 CH 23 1 1 2

Hi, I had a problem passing characters from R into c-code by dyn.load() and .C(). test.c: void R2Cdouble(double *db) { printf("\n my double: %f \n", db[0]); } test.R: dyn.load("mylib.so"); .C("R2Cdouble", as.double(0.5)); worked fine, but test1.c: void R2Cstr(char *str) { printf("\n my char: %s \n", str[0]); } test1.R:

Hi R-users I'm trying to do multivariate analysis of variance of a experiment with 3 treatments, 2 variables and 5 replicates. The procedure adopted in SAS is as follow, but I'm having difficulty in to implement the contrasts for comparison of all treatments in R. I have already read manuals and other materials about manova in R, but nothing about specific contrasts were found in them,

I uploaded the package "multilm_0.1.tar.gz", which implements multivariate linear models and test procedures (T^2 and stabilized multivariate procedures by Laeuter et. al.). The function "multilm" allows the specification of multivariate linear models Y = X B + E, parameter restrictions Z B = 0 and linear hypotheses K B = 0. The Hotelling T^2 test ist computed and also

We are happy to inform you that the online abstract submission and registration for `useR! 2008' is now available online from http://www.R-project.org/useR-2008/ This meeting of the R user community will take place at the Technische Universit?t Dortmund, Dortmund, Germany, August 12 to 14, 2008. The conference schedule comprises invited lectures and user-contributed sessions as well as

We are happy to inform you that the online abstract submission and registration for `useR! 2008' is now available online from http://www.R-project.org/useR-2008/ This meeting of the R user community will take place at the Technische Universit?t Dortmund, Dortmund, Germany, August 12 to 14, 2008. The conference schedule comprises invited lectures and user-contributed sessions as well as

> Date: Wed, 30 Jun 1999 11:12:24 +0200 (MET DST) > From: Torsten Hothorn <hothorn at amadeus.statistik.uni-dortmund.de> > > yesterday I had a little shock using qr (or lm). having a matrix > > X <- cbind(1,diag(3)) > y <- 1:3 > > the qr.coef returns one NA (because X is singular). So I computed the > Moore-Penrose inverse of X (just from the

We are happy to announce that the R user conference useR! 2008 is scheduled for August 12-14, 2008, and will take place at the University of Dortmund. As for the predecessor conferences, the program will consist of two parts: invited lectures and user-contributed sessions (abstract submission will be available online starting from December 2007). Prior to the conference, there will be

We are happy to announce that the R user conference useR! 2008 is scheduled for August 12-14, 2008, and will take place at the University of Dortmund. As for the predecessor conferences, the program will consist of two parts: invited lectures and user-contributed sessions (abstract submission will be available online starting from December 2007). Prior to the conference, there will be

Hi.? There appears to be a bug in R function manova.? My friend and I both ran it the same way as shown below (his run) with the shown data set. His results are shown below. we both got the same results.? I was running with R 2.3.1. I'm not sure what version he used. Thanks very much, David Booth Kent State University -----Original Message----- From: dvdbooth at cs.com To: kberk at

Hello, I'm a new user to R so apologies if this is a basic question, but after scouring the web on information for summary.formula, I still am searching for an answer. I made a function to analyze my data - I have a categorical variable and three continuous variables. I am analyzing my continuous variables on the basis of my categorical variables. radioanal <- function(a) { #Educational

Hi, the following example aiming at a class containing a logical slot segfaults under R-1.9.0 when `gctorture(on = TRUE)' is used: Code code (dummy.c): #include <Rdefines.h> SEXP foo() { SEXP ans; PROTECT(ans = NEW_OBJECT(MAKE_CLASS("test"))); SET_SLOT(ans, install("lgl"), allocVector(LGLSXP, 1)); LOGICAL(GET_SLOT(ans,

I would like to perform multiple comparisons or post-hoc testing on the independent variable in an Anova.mlm object generated by the Anova function of the car package. I have defined a multivariate linear model and subsequently performed a repeated measures ANOVA as per the instructions in section #3 of the following comprehensive tutorial on the subject from the Gribble lab at UWO:

New package `multcomp' for general multiple comparisons written by Frank Bretz, Torsten Hothorn and Peter Westfall We've uploaded the package `multcomp' to CRAN. The R package allows for multiple comparisons of k groups in general linear models. We use the unifying representations of multiple contrast tests, which include all common multiple comparison procedures, such as the

New package `multcomp' for general multiple comparisons written by Frank Bretz, Torsten Hothorn and Peter Westfall We've uploaded the package `multcomp' to CRAN. The R package allows for multiple comparisons of k groups in general linear models. We use the unifying representations of multiple contrast tests, which include all common multiple comparison procedures, such as the

Is this book a good reference to learn R for statistical analysis ? A Handbook of Statistical Analyses Using R by Brian S. Everitt<http://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_1?%5Fencoding=UTF8&search-type=ss&index=books&field-author=Brian%20S.%20Everitt>(Author), Torsten

The package ipred is uploaded to CRAN. The main focus of the package is the calculation of improved predictors in classification tasks. Misclassification error can be improved by bootstrap aggregated classification trees and/or the framework of indirect classification. Furthermore, a unified interface for the estimation of misclassification error completes the features of ipred. We try to make