acc_cat_distributions: Plots and checks for distributions for categorical variables

In dataquieR: Data Quality in Epidemiological Research

Plots and checks for distributions for categorical variables

Description

This function creates distribution plots for categorical variables.

Descriptor

Usage

acc_cat_distributions(
  resp_vars = NULL,
  group_vars = NULL,
  study_data,
  label_col,
  item_level = "item_level",
  meta_data = item_level,
  meta_data_v2,
  n_cat_max = getOption("dataquieR.max_cat_resp_var_levels_in_plot",
    dataquieR.max_cat_resp_var_levels_in_plot_default),
  n_group_max = getOption("dataquieR.max_group_var_levels_in_plot",
    dataquieR.max_group_var_levels_in_plot_default),
  n_data_min = getOption("dataquieR.min_time_points_for_cat_resp_var",
    dataquieR.min_time_points_for_cat_resp_var_default)
)

Arguments

resp_vars	variable the name of the measurement variable
group_vars	variable the name of the observer, device or reader variable
study_data	data.frame the data frame that contains the measurements
label_col	variable attribute the name of the column in the metadata with labels of variables
item_level	data.frame the data frame that contains metadata attributes of study data
meta_data	data.frame old name for item_level
meta_data_v2	character path to workbook like metadata file, see prep_load_workbook_like_file for details. ALL LOADED DATAFRAMES WILL BE PURGED, using prep_purge_data_frame_cache, if you specify meta_data_v2.
n_cat_max	maximum number of categories to be displayed individually for the categorical variable (resp_vars)
n_group_max	maximum number of categories to be displayed individually for the grouping variable (group_vars, devices / examiners)
n_data_min	minimum number of data points to create a time course plot for an individual category of the resp_vars variable

Details

To complete

Value

A list with:

• SummaryPlot: ggplot2::ggplot for the response variable in resp_vars.

See Also

Online Documentation

dataquieR documentation built on Jan. 8, 2026, 5:08 p.m.