Displaying 2 results from an estimated 2 matches for "anovadata".
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amoadata
2011 Jan 24
2
normality and equal variance testing
.... How can I do this?
I have pasted below the code that I currently use.
library(car)
numFiles = x # <--<--<--<--<--<--<--<--<--<--<-- supply the number of files
containing the source data here
for (iIndx in 1:numFiles) {
sinkFilePath = paste("C:/AnovaData/2WayAnovaForProteins_Set", iIndx,
".txt", sep="")
sink(sinkFilePath)
sourceFilePath = paste("C:/AnovaData/ProteinsFor2WayAnova_Set", iIndx, ".txt",
sep="")
dataSet = read.delim(sourceFilePath)
numProteins = ncol(dataSet)
nameProteins =...
2002 Jul 05
1
aov() and NaN
hi,
another anova question !!
how does aov() treat missing values ?
since it might depend on my experimental design:
i have a within subject design with two factors ...
i use aov() like this:
aov(performance~type*block+Error(subj/(type+block)),data=anovaData)
now it might happen that i have a couple of NaN data points in my result
dataFrame.
how can i know/control how aov() is treating those missing values ?
greetinx jan
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