Using GroupConditions() object and source data.frame compute
a set of FrequencyTable()s for single variable
GroupedFrequencyTable(
data,
conditions,
var,
force_disjoint = FALSE,
.all = TRUE
)# S3 method for GroupedFrequencyTable
print(x, ...)
# S3 method for GroupedFrequencyTable
summary(object, ...)
data.frame of descriptive statistcs
source data.frame
up to two GroupConditions objects. These objects will be
passed along during creation of higher-level objects and used when
normalize_scores_grouped() will be called. If two objects are provided,
then intersection of groups will be made.
name of variable to compute GroupedFrequencyTable for
It is recommended to keep it as default
FALSE, unless the sample size is very big and it is completely mandatory
to have the groups disjointed.
should .all or .all1 and .all2 groups
be generated. If they are not generated, all score normalization
procedures will fail if the observation can't be assigned to any of the
provided conditions (eg. because of missing data), leaving it's score as NA.
Defaults to TRUE
A GroupedFrequencyTable object
further arguments passed to or from other methods.
A GroupedFrequencyTable object
force_exhaustive will always be checked as FALSE during the
calculations. It is mandatory for validity of the created FrequencyTables
plot.GroupedFrequencyTable