acc_distributions_ecdf: ECDF plots for distribution checks

In dataquieR: Data Quality in Epidemiological Research

ECDF plots for distribution checks

Description

Data quality indicator checks "Unexpected location" and "Unexpected proportion" if a grouping variable is included: Plots of empirical cumulative distributions for the subgroups.

Descriptor

Usage

acc_distributions_ecdf(
  resp_vars = NULL,
  group_vars = NULL,
  study_data,
  label_col,
  item_level = "item_level",
  meta_data = item_level,
  meta_data_v2,
  n_group_max = getOption("dataquieR.max_group_var_levels_in_plot",
    dataquieR.max_group_var_levels_in_plot_default),
  n_obs_per_group_min = getOption("dataquieR.min_obs_per_group_var_in_plot",
    dataquieR.min_obs_per_group_var_in_plot_default)
)

Arguments

resp_vars	variable list the names of the measurement variables
group_vars	variable list 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_group_max	maximum number of categories to be displayed individually for the grouping variable (group_vars, devices / examiners)
n_obs_per_group_min	minimum number of data points per group to create a graph for an individual category of the group_vars variable

Value

A list with:

• SummaryPlotList: list of ggplot2::ggplots for each response variable in resp_vars.

See Also

Online Documentation

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