2-factorial Anova on single line of data
singleLineAnova runs 2-factorial Anova on a single line of data (using aov from package stats)
using a model with two factors (without factor-interaction) and extracts the correpsonding p-value.
singleLineAnova(dat, fac1, fac2, inclInteraction = TRUE)
dat |
numeric vector |
fac1 |
(character or factor) vector describing grouping elements of dat for first factor, must be of same langth as fac2 |
fac2 |
(character or factor) vector describing grouping elements of dat for second factor, must be of same langth as fac1 |
inclInteraction |
(logical) decide if factor-interactions (eg synergy) should be included to model |
(uncorrected) p for factor 'Pr(>F)' (see aov)
aov, anova; for repeated tests using the package limma including lmFit and eBayes see test2factLimma
set.seed(2012); dat <- round(runif(8),1) singleLineAnova(dat,gl(2,4),rep(1:2,4))
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