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.
tr
Trim level for the mean when carrying out robust tests. If you
get error stating "Standard error cannot be computed because of Winsorized
variance of 0 (e.g., due to ties). Try to decrease the trimming level.",
try to play around with the value of tr, which is by default set to
0.1. Lowering the value might help.
nboot
Number of bootstrap samples for computing confidence interval
for the effect size (Default: 100).
conf.level
Scalar between 0 and 1. If unspecified, the defaults return
95% lower and upper confidence intervals (0.95).
conf.type
A vector of character strings representing the type of
intervals required. The value should be any subset of the values "norm",
"basic", "perc", "bca". For more, see ?boot::boot.ci.