View source: R/anova_analysis.R
wrapperClassic1wayAnova | R Documentation |
Wrapper for One-way Anova statistical test
wrapperClassic1wayAnova(obj, with_post_hoc = "No", post_hoc_test = "No")
obj |
An object of class |
with_post_hoc |
a character string with 2 possible values: "Yes" and "No" (default) saying if function must perform a Post-Hoc test or not. |
post_hoc_test |
character string, possible values are "No" (for no
test; default value) or TukeyHSD" or "Dunnett". See details of
|
This function allows to perform a 1-way Analysis of Variance. Also
computes the post-hoc tests if the with_post_hoc
parameter is set to
yes. There are two possible post-hoc tests: the Tukey Honest Significant
Differences (specified as "TukeyHSD") and the Dunnett test
(specified as "Dunnett").
A list of two dataframes. First one called "logFC" contains all pairwise comparisons logFC values (one column for one comparison) for each analysed feature (Except in the case without post-hoc testing, for which NAs are returned.); The second one named "P_Value" contains the corresponding p-values.
Hélène Borges
[postHocTest()]
## Not run: examples/ex_wrapperClassic1wayAnova.R
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