util_plot_categorical_vars {dataquieR}R Documentation

Utility function to create plots for categorical variables

Description

Depending on the required level of complexity, this helper function creates various plots for categorical variables. Next to basic bar plots, it also enables group comparisons (for example for device/examiner effects) and longitudinal views.

Usage

util_plot_categorical_vars(
  resp_vars,
  group_vars = NULL,
  time_vars = NULL,
  study_data,
  meta_data,
  n_cat_max = 6,
  n_group_max = getOption("dataquieR.max_group_var_levels_in_plot", 20),
  n_data_min = 20
)

Arguments

resp_vars

name of the categorical variable

group_vars

name of the grouping variable

time_vars

name of the time variable

study_data

the data frame that contains the measurements

meta_data

the data frame that contains metadata attributes of study data

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

Value

a figure


[Package dataquieR version 2.5.1 Index]