R: t-tests, pairwise

t_test_pairwise

R Documentation

t-tests, pairwise

Description

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

Usage

t_test_pairwise(
  data = NULL,
  iv_name = NULL,
  dv_name = NULL,
  sigfigs = 3,
  cohen_d = TRUE,
  cohen_d_w_ci = TRUE,
  adjust_p = "holm",
  bonferroni = NULL,
  mann_whitney = TRUE,
  t_test_stats = FALSE,
  t_test_df_decimals = 1,
  sd = FALSE,
  round_p = 3,
  anova = TRUE,
  round_f = 2
)

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
`cohen_d`	if `cohen_d = TRUE`, Cohen's d statistics will be included in the output data.table.
`cohen_d_w_ci`	if `cohen_d_w_ci = TRUE`, Cohen's d with 95% CI will be included in the output data.table.
`adjust_p`	the name of the method to use to adjust p-values. If `adjust_p = "holm"`, the Holm method will be used; if `adjust_p = "bonferroni"`, the Bonferroni method will be used. By default, `adjust_p = "holm"`
`bonferroni`	The use of this argument is deprecated. Use the 'adjust_p' argument instead. If `bonferroni = TRUE`, Bonferroni tests will be conducted for t-tests or Mann-Whitney tests.
`mann_whitney`	if `TRUE`, Mann-Whitney test results will be included in the output data.table. If `FALSE`, 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.
`round_p`	number of decimal places to which to round p-values (default = 3)
`anova`	Should a one-way ANOVA be conducted and reported? (default = TRUE)
`round_f`	number of decimal places to which to round the f statistic (default = 2)

Value

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

Examples

## Not run: 
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)

## End(Not run)