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I've been using var.test and bartlett.test to check basic ANOVA assumptions, among others, homoscedascity (homogeniety, equality of variances). Procedure is quite simple for One-Way ANOVA:
bartlett.test(x ~ g) # where x is numeric, and g is a factor
var.test(x ~ g)
But, for 2x2 tables, i.e. Two-Way…
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Im trying to run a model with a response variable p and 3 fixed factors to get ANOVA. this is how my code looks like :
#run it as 3 fixed factor model
p1=c(37,38,37,41,41,40,41,42,41)
p2=c(42,41,43,42,42,42,43,42,43)
p3=c(30,31,31,31,31,31,29,30,28)
p4=c(42,43,42,43,43,43,42,42,42)
p5=c(28,30…
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I am trying to calculate the necessary sample size for a 2x2 factorial design. I have two questions.
1) I am using the package pwr and the one way anova function to calculate the necessary sample size using the following code
pwr.anova.test(k = , n = , f = , sig.level = , power = )
However,…
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Is aov appropriate for unbalanced datasets. According to help ...provides a wrapper to lm for fitting linear models to balanced or unbalanced experimental designs. But later on it says aov is designed for balanced designs, and the results can be hard to interpret without balance.
How should I perform…
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Hello R comrades:
I have a bunch of loglinear models, which, for our purposes will just be glm() objects called mx, my, mz. I want to get a nicely-formatted xtable of the analysis of deviance, so naturally I would want to perform xtable(anova(mx, my, mz, test = "Chisq")).
The vanilla output of…
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