To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("lmdme")

In most cases, you don't need to download the package archive at all.

lmdme

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see lmdme.

Linear Model decomposition for Designed Multivariate Experiments

Bioconductor version: 3.4

linear ANOVA decomposition of Multivariate Designed Experiments implementation based on limma lmFit. Features: i)Flexible formula type interface, ii) Fast limma based implementation, iii) p-values for each estimated coefficient levels in each factor, iv) F values for factor effects and v) plotting functions for PCA and PLS.

Author: Cristobal Fresno and Elmer A. Fernandez

Maintainer: Cristobal Fresno <cfresno at bdmg.com.ar>

Citation (from within R, enter citation("lmdme")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("lmdme")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("lmdme")
PDF R Script lmdme: linear model framework for PCA/PLS analysis of ANOVA decomposition on Designed Multivariate Experiments in R
PDF Reference Manual
Text NEWS

Details

Version 1.16.0
In Bioconductor since BioC 2.11 (R-2.15) (4.5 years)
License GPL (>=2)
Depends R (>= 2.14.1), pls, stemHypoxia
Imports stats, methods, limma
LinkingTo
Suggests
SystemRequirements
Enhances parallel
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source lmdme_1.16.0.tar.gz
Windows Binary lmdme_1.16.0.zip
Mac OS X 10.9 (Mavericks) lmdme_1.16.0.tgz
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