search for: ffmanova

Version 0.1-0 of a new package `ffmanova' is now available on CRAN. Comments, suggestions, etc. are welcome. Please use the email address ffmanova (at) mevik.net. The package implements 50-50 MANOVA (Langsrud, 2002) with p-value adjustment based on rotation testing (Langsrud, 2005). The 50-50 MANOVA method is a modified variant of...

Version 0.1-0 of a new package `ffmanova' is now available on CRAN. Comments, suggestions, etc. are welcome. Please use the email address ffmanova (at) mevik.net. The package implements 50-50 MANOVA (Langsrud, 2002) with p-value adjustment based on rotation testing (Langsrud, 2005). The 50-50 MANOVA method is a modified variant of...

...xAK-package is an option, but as far as I can tell I need to draw rotation matrices with determinant -1 as well. Roast and Romer in the limma-bioconductor package appear to have implemented something similar, which seems not to be general enough for my purposes, however. Inspired by the code in the ffmanova-rotationtest function I thought of the following, but it appears to me that there only the covariance, not the mean, is preserved: ##### # a given Y has independent, multivariate normal rows library(mvtnorm) Y <- rmvnorm(4,mean=1:10,sigma=diag(1:10)+3) # Generation of a set of random matrices...

...t; Content-Type: text/plain Dear R-users, is anybody aware of some package or routine to implement nonparametric Multivariate Analysis of Covariance (MANCOVA) using matrices instead of single variable names? I found something for parametric MANCOVA which still requires single variables to be used (ffmanova,vegan), but since both the response matrix and the covariates matrix are quite large (306 and 152 variables, respectively) I have some difficulty in implementing this model... Something like Y ~ X*Z, where X is a design matrix, and Z is the covariate matrix. Rows of both Y and Z are much less than...