A filter function for Analysis of Variance
Anova returns a function of one argument with bindings for
cov and p.
The function, when evaluated, performs an ANOVA using cov as
the covariate. It returns TRUE if the p value for a difference
in means is less than p.
Anova(cov, p=0.05, na.rm=TRUE)
cov |
The covariate. It must have length equal to the number of
columns of the array that |
p |
The p-value for the test. |
na.rm |
If set to |
The function returned by Anova uses lm to fit a linear
model of the form
lm(x ~ cov), where x is the set of gene expressions.
The F statistic for an overall effect is computed and if it has a
p-value less than p the function returns TRUE,
otherwise it returns FALSE for that gene.
Anova returns a function with bindings for cov and
p that will perform a one-way ANOVA.
The covariate can be continuous, in which case the test is for a linear effect for the covariate.
R. Gentleman
set.seed(123) af <- Anova(c(rep(1,5),rep(2,5)), .01) af(rnorm(10))
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