Skip to contents

wilcoxon signed rank test

Source: R/wilcox_test_class.R
wilcox_test.Rd

A Mann-Whitney-Wilcoxon signed rank test compares ,the ranks of values in two groups. It is the non-parametric equivalent of a t-test. Multiple test corrected p-values are computed as indicators of significance for each variable/feature.

Usage

wilcox_test(
  alpha = 0.05,
  mtc = "fdr",
  factor_names,
  paired = FALSE,
  paired_factor = character(0),
  conf_level = 0.95,
  ...
)

Arguments

alpha

(numeric) The p-value cutoff for determining significance. The default is 0.05.

mtc

(character) Multiple test correction method. Allowed values are limited to the following:

  • "bonferroni": Bonferroni correction in which the p-values are multiplied by the number of comparisons.

  • "fdr": Benjamini and Hochberg False Discovery Rate correction.

  • "none": No correction.

The default is "fdr".

factor_names

(character) The name of a sample-meta column to use.

paired

(logical) Apply a paired test. The default is FALSE.

paired_factor

(character) The factor name containing sample ids for paired data. The default is character(0).

conf_level

(numeric) The confidence level of the interval. The default is 0.95.

...

Additional slots and values passed to struct_class.

Value

A wilcox_test object with the following output slots:

statistic(data.frame) The value of the calculated statistic which is converted to a p-value.
p_value(data.frame) The probability of observing the calculated t-statistic.
dof(numeric) The number of degrees of freedom used to calculate the test statistic.
significant(data.frame) TRUE if the calculated p-value is less than the supplied threhold (alpha).
conf_int(data.frame) Confidence interval for t statistic.
estimates(data.frame) The group estimates used when computing the statistic.

struct object

Inheritance

A wilcox_test object inherits the following struct classes:

[wilcox_test] >> [model] >> [struct_class]

Examples

M = wilcox_test(
      alpha = 0.05,
      mtc = "fdr",
      factor_names = "V1",
      paired = FALSE,
      paired_factor = character(0),
      conf_level = 0.95)

M = wilcox_test(factor_name='Class')