BSkyOneSmTTest: t-test, one sample

In BlueSkyStatistics/BlueSky: BlueSky Collection of Functions for Data Access, Analysis, and Formatting.

t-test, one sample

Description

Performs one sample t-tests on selected variables. Optionally computes effect size indices for standardized differences: Cohen's d and Hedges' g (This function returns the population estimate.)

Usage

BSkyOneSmTTest(
  data = NULL,
  varNamesOrVarGlobalIndices = NULL,
  mu = 0,
  conf.level = 0.95,
  alternative = "two.sided",
  datasetNameOrDatasetGlobalIndex = NULL,
  missing = 0,
  bSkyHandleSplit = TRUE,
  cohens_d = FALSE,
  cohensd_correction = FALSE,
  hedges_g = FALSE,
  hedgesg_correction = FALSE,
  glass_d = FALSE,
  glassd_correction = FALSE,
  debug = FALSE
)

Arguments

varNamesOrVarGlobalIndices	selected scale variables (say var1, var2)
mu	a number indicating the true value of the mean. (say 10)
conf.level	a numeric value (say 0.95).
alternative	a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less". You can specify just the initial letter.
datasetNameOrDatasetGlobalIndex	Name of the dataset (say Dataset) from which var1, var2 and var3 are selected.
missing	missing values are handled on a per variable basis (missing =0) or list wise across all variables (missing=1).

Value

A list with the results of the test

Examples

Dataset <- data.frame(Expenses=c(20,23,19,25,26), Sales=c(48,50,55,51,49), Gender=c('m','f','f','m','m'), Deptt=c('IT', 'Sales', 'IT','Sales','IT'))
BSky_One_Simple_T_Test = BSkyOneSmTTest(varNamesOrVarGlobalIndices =c('Sales','Expenses'),mu=.9,conf.level=0.95,alternative ="two.sided", datasetNameOrDatasetGlobalIndex ='Dataset',missing=1)

BlueSkyStatistics/BlueSky documentation built on April 14, 2025, 7:39 a.m.