R: One Sample T-Test

ttestOneS {jmv}

R Documentation

One Sample T-Test

Description

One Sample T-Test

Usage

ttestOneS(data, vars, students = TRUE, bf = FALSE, bfPrior = 0.707,
  wilcoxon = FALSE, testValue = 0, hypothesis = "dt", norm = FALSE,
  qq = FALSE, meanDiff = FALSE, effectSize = FALSE, ci = FALSE,
  ciWidth = 95, desc = FALSE, plots = FALSE, miss = "perAnalysis",
  mann = FALSE)

Arguments

`data`	the data as a data frame
`vars`	a vector of strings naming the variables of interest in `data`
`students`	`TRUE` (default) or `FALSE`, perform Student's t-tests
`bf`	`TRUE` or `FALSE` (default), provide Bayes factors
`bfPrior`	a number between 0.5 and 2 (default 0.707), the prior width to use in calculating Bayes factors
`wilcoxon`	`TRUE` or `FALSE` (default), perform Wilcoxon signed rank tests
`testValue`	a number specifying the value of the null hypothesis
`hypothesis`	`'dt'` (default), `'gt'` or `'lt'`, the alternative hypothesis; different to `testValue`, greater than `testValue`, and less than `testValue` respectively
`norm`	`TRUE` or `FALSE` (default), perform Shapiro-wilk tests of normality
`qq`	`TRUE` or `FALSE` (default), provide a Q-Q plot of residuals
`meanDiff`	`TRUE` or `FALSE` (default), provide means and standard deviations
`effectSize`	`TRUE` or `FALSE` (default), provide effect sizes
`ci`	`TRUE` or `FALSE` (default), provide confidence intervals
`ciWidth`	a number between 50 and 99.9 (default: 95), the width of confidence intervals
`desc`	`TRUE` or `FALSE` (default), provide descriptive statistics
`plots`	`TRUE` or `FALSE` (default), provide descriptive plots
`miss`	`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing.
`mann`	deprecated

Value

A results object containing:

`results$ttest`					a table containing the t-test results
`results$normality`					a table containing the normality test results
`results$descriptives`					a table containing the descriptives
`results$plots`					an image of the descriptive plots
`results$qq`					an array of Q-Q plots

Tables can be converted to data frames with asDF or as.data.frame. For example:

results$ttest$asDF

as.data.frame(results$ttest)

Examples

data('ToothGrowth')

ttestOneS(ToothGrowth, vars = c('len', 'dose'))

#
#  ONE SAMPLE T-TEST
#
#  One Sample T-Test
#  ------------------------------------------------------
#                           statistic    df      p
#  ------------------------------------------------------
#    len     Student's t         19.1    59.0    < .001
#    dose    Student's t         14.4    59.0    < .001
#  ------------------------------------------------------
#

[Package jmv version 0.9.2.0 Index]