| 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.