View source: R/additional_statistical_tests.R
sleuth_wilcox_pairwise | R Documentation |
Run a Wilcox pairwise comparison for a group across est_counts
sleuth_wilcox_pairwise(data, grouping, cutoff = 0.05)
data |
An existing Sleuth object as generated by sleuth_prep() and fit by sleuth_fit() |
grouping |
A column name in the sample to covariate dataframe provided when running sleuth_prep / sleuth_interpret |
cutoff |
The p-value cutoff to be used for the letter based output |
Results of a pairwise Wilcox test to identify the significantly different groups given as letters, where different letters indicate significance
# Given a dataframe that contains est_counts for a particular gene and grouping information, run the Wilcox pairwise comparison of the est_counts factor between the selected group. sleuth_kruskal_wallis(scaled_transcript_counts, "sex")
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