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Analysis of Covariance (ANCOVA) in R (draft)

Analysis of Covariance ( ancova ) in R (draft)Francis HuangAugust13th,2014 IntroductionThis short guide shows how to use our SPSS class example and getthe same results in R. We introduce the new variable the covariateor the concomitant variable. We would like to control or account forthis third variable (a continuous variable) and if all goes well, we getbetter results. We ll need to install a few packages, namely:rio,car,multcomp,effects,psych. NOTE: don t need to reinstall if you vealready installed. You must call them using s first get our data1, in R.

analysis of covariance (ancova) in r (draft) 4 ## -0.779 4.779 ## sample estimates: ## mean in group Trad ## 5.67 ## mean in group New Method ## 3.67 Assumption 4: Homogeneity of variance. We’ve already discussed this before. To get this, run2: 2 Install the car package first to access the levene.test function. Including the center=mean ...

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