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jmv (version 0.7.3.1)

ttestOneS: One Sample T-Test

Description

One Sample T-Test

Usage

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

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

mann

TRUE or FALSE (default), perform Mann-Whitney U test

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

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.

Examples

Run this code
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
#  ------------------------------------------------------
#

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