extract the p value

It's not directly extractable since it's calculated on the fly in the
printing method. If you type stats:::print.summary.lm,  you can see
the code the leads to the calculation: It's basically (I'm leaving out
some formatting stuff):

pf(x$fstatistic[1L], x$fstatistic[2L], x$fstatistic[3L], lower.tail = FALSE)

where the fstatistic is calculated in summary.lm. You can write a
little helper to calculate this yourself -- just something like

getModelPValue <- function(m) {
    stopifnot(inherits(m, "lm"))
    s <- summary.lm(m)
    pf(s$fstatistic[1L], s$fstatistic[2L], s$fstatistic[3L], lower.tail = FALSE)
}

And you can just extract the necessary parts of summary.lm if speed is
a concern.

Hope this helps,

Michael

OK, what is the trick to extracting the overall p value from an lm object?
It shows up in the summary(lm(model)) output but I can't seem to extract it:

test2 = apply(aa, 1, function(x) summary(lm(x[,1] ~ 0 + x[,3] + x[,6])))
test2[[1]]

Call:
lm(formula = x[, 1] ~ 0 + x[, 3] + x[, 6])

[omitted summary output]
F-statistic: 40.94 on 2 and 7 DF, ?p-value: 0.0001371

It does not seem to be obtainable from anova(lm(model)) either, only the p
values for the individual predictors.
Stumped.

Jim Bouldin
Research Ecologist

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