prop_na {structToolbox} | R Documentation |
A Fisher's exact test is used to compare the number of missing values in each group. Multiple test corrected p-values are computed to indicate whether there is a significant difference in the number of missing values across groups for each feature.
prop_na(alpha = 0.05, mtc = "fdr", factor_name, ...)
alpha |
(numeric) The p-value cutoff for determining significance. The default is |
mtc |
(character) Multiple test correction method. Allowed values are limited to the following:
The default is |
factor_name |
(character) The name of a sample-meta column to use. |
... |
Additional slots and values passed to |
A prop_na
object.
struct object
M = prop_na(factor_name='Species')