acc_end_digits: Extension of acc_shape_or_scale to examine uniform...

Description Usage Arguments Value ALGORITHM OF THIS IMPLEMENTATION: See Also

View source: R/acc_end_digits.R

Description

This implementation contrasts the empirical distribution of a measurement variables against assumed distributions. The approach is adapted from the idea of rootograms (Tukey (1977)) which is also applicable for count data (Kleiber and Zeileis (2016)).

Usage

1
acc_end_digits(resp_vars = NULL, study_data, meta_data, label_col = VAR_NAMES)

Arguments

resp_vars

variable the names of the measurement variables, mandatory

study_data

data.frame the data frame that contains the measurements

meta_data

data.frame the data frame that contains metadata attributes of study data

label_col

variable attribute the name of the column in the metadata with labels of variables

Value

a list with:

ALGORITHM OF THIS IMPLEMENTATION:

See Also

Online Documentation


dataquieR documentation built on Feb. 2, 2021, 5:14 p.m.