apa.ind.t.test {apaText}

Report descriptive statistics for a set of values

Description

Report descriptive statistics for a set of values

Usage

apa.ind.t.test(
  .data,
  .iv,
  .dv,
  bonferroni.multiplier = 1,
  show.mean.difference = TRUE,
  show.statistic = NULL,
  show.conf.interval = NULL,
  number.decimals = NULL,
  number.decimals.p = NULL,
  var.equal = TRUE,
  one.sided = FALSE
)

Arguments

.data

A data frame or data frame extension (e.g., tibble)

.iv

Name of the independent variable column (only 2 levels)

.dv

Name of the dependent variable column

bonferroni.multiplier

Multiply the p-value by this number to make a bonferroni adjustment

show.mean.difference

Show mean difference (Bool. Default TRUE)

show.statistic

Show t-value (Bool. Default TRUE)

show.conf.interval

Show CI for mean difference (Bool. Default TRUE)

number.decimals

Number of decimals used in output (excluding p-value)

number.decimals.p

Number of decimals used in p-value output

var.equal

(boolean) TRUE or FALSE for cell equal variances

one.sided

(boolean) TRUE or FALSE for conducting a one-sided test

Value

R Markdown text

Examples

if  (requireNamespace("apaTables", quietly = TRUE)){
    library(dplyr)
    goggles <- apaTables::goggles

    # one-sided test
    goggles %>%
      filter(alcohol == "None") %>%
      filter(gender == "Female" | gender == "Male") %>%
      apa.ind.t.test(gender, attractiveness,
                     var.equal = TRUE, one.sided = TRUE)
    #two-sided test
    goggles %>%
      filter(alcohol == "None") %>%
      filter(gender == "Female" | gender == "Male") %>%
      apa.ind.t.test(gender, attractiveness,
                      var.equal = TRUE, one.sided = FALSE)

    #two-sided test with Bonferroni correction (three exploratory tests)
    goggles %>%
      filter(alcohol == "None") %>%
      filter(gender == "Female" | gender == "Male") %>%
      apa.ind.t.test(gender, attractiveness,
                     var.equal = TRUE, one.sided = FALSE,
                      bonferroni.multiplier = 3)
 }