This function performs an one-factorial analysis of variance assessing pin-dependent bias for a single array
object of class “marrayRaw” or “marrayNorm”
index of array to be tested
anovapin performs a one-factorial ANOVA for objects of class “marrayRaw” or
“marrayNorm”. The predictor variable is the pin index; the response variable is the logged fold-change
The null hypothesis is equal
mean(M) of groups of spots printed by the same pin i.e.
a spot's M does not dependent on the pin used from printing the spot.
The model formula used is M ~ (pin.index - 1) (without an intercept term).
The return value is a list of summary statistics of the fitted model as produced by
For example, the squared multiple correlation coefficient R-square equals the proportion
of the variation of
M that can be explained by the variation of pin index (based on the chosen
Matthias E. Futschik (http://itb.biologie.hu-berlin.de/~futschik)
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