compute_F_test_with_limma {lipidomeR} | R Documentation |
Compute an F-test for a multi-level factor independent variable
Description
Use this to achieve analysis of variance (ANOVA) or analysis of covariance
(ANCOVA). The F-test is based on a model produced by the function
compute_models_with_limma
.
To use this function, first call the function
compute_models_with_limma
.
Usage
compute_F_test_with_limma(x, p.adj.threshold = 0.05, print.table = FALSE)
Arguments
x |
(Required) list of models for which the test will be done.
The F-test will be computed for the first independent variable that was
specified in the |
p.adj.threshold |
(Optional) numeric value specifying the threshold for statistical significance of difference after correction for multiple testing. |
print.table |
(Optional) |
Value
List x
supplemented by the results of the F-test.
See Also
compute_models_with_limma
for the model computation
step that is required prior to calling this function.
compute_post_hoc_test_with_limma
for the pairwise
post-hoc comparisons that may follow the F-test done with this function.