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.