run.analysis
.display.tests(sig.rows = "all", summ = "anova", tests, form = parameter.list$form, use.model = parameter.list$use.model, ...)
sigs
; default value returns all significant testsuse.model
or "none"
clust.mat
; default value returns
the rows in clust.mat
corresponding to the rows in sigs[sig.rows,]
lm
; default is the one that was used to generate the significant peaksuse.model
use.model
in run.analysis
evaluates to anything other
than t.test
, then the only thing reported on each peak by
run.analysis
is the p-value. This program takes a
specified subset of the significant peaks and returns a list consisting of the
models generated by use.model
(if summ = "none"
) or summ
applied to those models. Typical values for summ
include
anova
and summary
.Although the program is designed to be used on significant peaks, by defining
tests
directly in the function call, you can access any of the peaks in
clust.mat
. If tests
is defined in the function call, its value
overrides anything specified by sig.rows
.
run.analysis
, anova
, lm
, t.test