A dataframe (or a tibble) from which variables specified are to
be taken. A matrix or tables will not be accepted.
x
The grouping variable from the dataframe data.
y
The response (a.k.a. outcome or dependent) variable from the
dataframe data.
subject.id
In case of repeated measures design (paired = TRUE,
i.e.), this argument specifies the subject or repeated measures id. Note
that if this argument is NULL (which is the default), the function
assumes that the data has already been sorted by such an id by the user and
creates an internal identifier. So if your data is not sorted and you
leave this argument unspecified, the results can be inaccurate.
paired
Logical that decides whether the experimental design is
repeated measures/within-subjects or between-subjects. The default is
FALSE.
bf.prior
A number between 0.5 and 2 (default 0.707), the prior
width to use in calculating Bayes factors.
k
Number of digits after decimal point (should be an integer)
(Default: k = 2L).
output
If "expression", will return expression with statistical
details, while "dataframe" will return a dataframe containing the
results.