lsmeans-package: lsmeans

In lsmeans: Calculates the lsmeans and their variances for lm, gls,lme,mer,lmer and glmer models

Description

Calculates the lsmeans and their variances for lm, gls, mle, glm, mer, lmerMod or glmerMod models It also contains a function to test contrasts and to test linear combinations. The present version only works with default parametrization.

Details

Package:	lsmeans
Type:	Package
Version:	2.0
Date:	2012-10-06
License:	GPL
LazyLoad:	yes

The package contains the following main functions: CalculateMmatrix, CalculateMatrixofMeansAndStandardErrors, MeanAndVariance, MeansComparison and RSquare.

Author(s)

Julio A. Di Rienzo <email: [e-mail]> and Maria del Carmen Romero <email: [e-mail]>

Maintainer: Julio A. Di Rienzo <email: [e-mail]> and Maria del Carmen Romero <email: [e-mail]>

See Also

CalculateMmatrix, CalculateMatrixofMeansAndStandardErrors, MeanAndVariance, contrastLC, Test_Contrast, RSquare

Examples

library(nlme)
library(lme4)
library(lsmeans)
Oats[,"nitro"]=as.factor(Oats[,"nitro"])

myModel<-lme(yield~1+Variety+nitro+Variety:nitro,random =~1|Block/Variety,,method="REML",data=Oats)
anova(myModel)
Mmatrix=CalculateMmatrix(myModel,Oats)
CalculateMatrixofMeansAndStandardErrors(myModel,Oats,"Variety",Mmatrix,MissingCells=FALSE)
CalculateMatrixofMeansAndStandardErrors(myModel,Oats,"nitro",Mmatrix,MissingCells=FALSE)
CalculateMatrixofMeansAndStandardErrors(myModel,Oats,"Variety:nitro",Mmatrix,MissingCells=FALSE)
MeanAndVariance("VarietyVictory", Mmatrix,myModel)
MeanAndVariance("VarietyVictory:nitro0.6", Mmatrix,myModel)
# Test_Contrast(myModel,myData,"Variety",Mmatrix,c(1,-1,0),10)
# contrastLC(myModel,c(0,0,0,1,-1,0,0,0,0,0,0,0))

RSquare(myModel)

lsmeans documentation built on May 2, 2019, 6:15 p.m.