Usage
ttestPS(data, pairs, students = TRUE, bf = FALSE, bfPrior = 0.707, wilcoxon = FALSE, hypothesis = "different", norm = FALSE, meanDiff = FALSE, effectSize = FALSE, ci = FALSE, ciWidth = 95, desc = FALSE, plots = FALSE, miss = "perAnalysis")
Arguments
data
the data as a data frame
pairs
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
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
normality tests
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.