GroupedFrequencyTable: Create GroupedFrequencyTable

In StatisMike/stenR: Standardization of Raw Discrete Questionnaire Scores

Create GroupedFrequencyTable

Description

Using GroupConditions() object and source data.frame compute a set of FrequencyTable()s for single variable

Usage

GroupedFrequencyTable(
  data,
  conditions,
  var,
  force_disjoint = FALSE,
  .all = TRUE
)

## S3 method for class 'GroupedFrequencyTable'
print(x, ...)

## S3 method for class 'GroupedFrequencyTable'
summary(object, ...)

Arguments

data	source data.frame
conditions	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.
var	name of variable to compute GroupedFrequencyTable for
force_disjoint	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.
.all	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
x	A GroupedFrequencyTable object
...	further arguments passed to or from other methods.
object	A GroupedFrequencyTable object

Details

force_exhaustive will always be checked as FALSE during the calculations. It is mandatory for validity of the created FrequencyTables

Value

data.frame of descriptive statistcs

See Also

plot.GroupedFrequencyTable

StatisMike/stenR documentation built on Aug. 20, 2022, 9:30 a.m.