Usage
ttestIS(data, vars, group, students = TRUE, bf = FALSE, bfPrior = 0.707, welchs = FALSE, mann = FALSE, hypothesis = "different", norm = FALSE, eqv = 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 dependent variables
group
a string naming the grouping variable, must have 2 levels
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
welchs
TRUE or FALSE (default), perform Welch's
t-tests
mann
TRUE or FALSE (default), perform Mann-Whitney U
tests
hypothesis
'different' (default), 'oneGreater' or
'twoGreater', the alternative hypothesis; group 1 different to group
2, group 1 greater than group 2, and group 2 greater than group 1
respectively
norm
TRUE or FALSE (default), perform Shapiro-Wilk
test of normality
eqv
TRUE or FALSE (default), perform Levene's test for
equality of variances
meanDiff
TRUE or FALSE (default), provide means and
standard errors
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.