t_test_pairwise: t test, pairwise

In exploratory: A Tool for Large-Scale Exploratory Analyses

t test, pairwise

Description

Conducts a t-test for every possible pairwise comparison with Bonferroni correction

Usage

t_test_pairwise(
  data = NULL,
  iv_name = NULL,
  dv_name = NULL,
  sigfigs = 3,
  mann_whitney = TRUE,
  t_test_stats = FALSE,
  t_test_df_decimals = 1,
  sd = FALSE
)

Arguments

data	a data object (a data frame or a data.table)
iv_name	name of the independent variable
dv_name	name of the dependent variable
sigfigs	number of significant digits to round to
mann_whitney	if TRUE, Mann-Whitney test results will be included in the output data.table. If TRUE, Mann-Whitney tests will not be performed.
t_test_stats	if t_test_stats = TRUE, t-test statistic and degrees of freedom will be included in the output data.table.
t_test_df_decimals	number of decimals for the degrees of freedom in t-tests (default = 1)
sd	if sd = TRUE, standard deviations will be included in the output data.table.

Value

the output will be a data.table showing results of all pairwise comparisons between levels of the independent variable.

Examples

t_test_pairwise(data = iris, iv_name = "Species", dv_name = "Sepal.Length")
t_test_pairwise(data = iris, iv_name = "Species",
dv_name = "Sepal.Length", t_test_stats = TRUE, sd = TRUE)
t_test_pairwise(data = iris, iv_name = "Species", dv_name = "Sepal.Length",
mann_whitney = FALSE)

exploratory documentation built on Oct. 10, 2023, 5:08 p.m.