vis_1_param: Visualise the distribution of a single parameter

In Xa4P/pacheck: Probabilistic Analysis Check Package

Visualise the distribution of a single parameter

Description

This function plots the distribution of a single parameter.

Usage

vis_1_param(
  df,
  param = NULL,
  binwidth = NULL,
  type = "histogram",
  dist = c("lnorm", "norm", "beta", "gamma"),
  user_dist = NULL,
  user_param_1 = NULL,
  user_param_2 = NULL,
  user_mean = NULL
)

Arguments

df	a dataframe.
param	character. Name of variable of the dataframe for which the distribution should be plotted.
binwidth	numeric. Determine the width of the bins to use, only applied in combination with "histogram". Default is 30 bins.
type	character. Determine which plot to return: "histogram" for a histogram, "density" for a density plot. Default is "histogram".
dist	character or vector of character. Determine which distribution to fit on the density plot.
user_dist	character string. User-defined distribution to fit. Default value is NULL.
user_param_1	character string. First parameter of the user-defined distribution to fit.
user_param_2	character string. Second parameter of the user-defined distribution to fit.
user_mean	numeric value. mean value to plot on the graph. Default is NULL

Details

The available distributions are: "norm" (normal), "beta", "gamma", "lnorm" (lognormal). TO CHECK –> ask for mean and SD/SE for the user-defined distribution???

Value

A ggplot2 graph.

Examples

# Generating histogram for the costs of progression-free health state, bins of 50 euros
data(df_pa)
vis_1_param(df = df_pa, param = "c_pfs", binwidth = 50)

Xa4P/pacheck documentation built on April 14, 2025, 1:51 p.m.