display.tests {FTICRMS} | R Documentation |
Displays full test information (not just p-values) for peaks generated by run.analysis
.
display.tests(sig.rows = "all", summ = "anova", tests, form = parameter.list$form, use.model = parameter.list$use.model, ...)
sig.rows |
numeric or character vector used to select rows of sigs ; default value returns all significant tests |
summ |
either a function or string representing a function which can be applied to the output of use.model or "none" |
tests |
numeric or character vector used to select rows of clust.mat ; default value returns
the rows in clust.mat corresponding to the rows in sigs[sig.rows,] |
form |
formula for use in lm ; default is the one that was used to generate the significant peaks |
use.model |
function or string representing a function; what test to apply to data |
... |
arguments to be passed to use.model |
If 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
.
A list with components equal to the models or summaries for the requested peaks.
clust.mat
and sig.mat
must be defined in the workspace for this
program to work—for example, in the results file output by
run.analysis
.
Don Barkauskas (barkda@wald.ucdavis.edu)
run.analysis
, anova
, lm
, t.test