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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)
numeric vector
(character or factor) vector describing grouping elements of dat for first factor, must be of same langth as fac2
(character or factor) vector describing grouping elements of dat for second factor, must be of same langth as fac1
(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
# NOT RUN {
set.seed(2012); dat <- round(runif(8),1)
singleLineAnova(dat,gl(2,4),rep(1:2,4))
# }
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