compute_F_test_with_limma: Compute an F-test for a multi-level factor independent...

In lipidomeR: Integrative Visualizations of the Lipidome

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 independent.variables argument to the function compute_models_with_limma.
p.adj.threshold	(Optional) numeric value specifying the threshold for statistical significance of difference after correction for multiple testing.
print.table	(Optional) TRUE or FALSE: Print the results of the test?

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.

lipidomeR documentation built on March 26, 2020, 5:32 p.m.