calibration_plot: Title Create calibration plot based on observed and predicted...

In predtools: Prediction Model Tools

Title Create calibration plot based on observed and predicted outcomes.

Description

Title Create calibration plot based on observed and predicted outcomes.

Usage

calibration_plot(
  data,
  obs,
  follow_up = NULL,
  pred,
  group = NULL,
  nTiles = 10,
  legendPosition = "right",
  title = NULL,
  x_lim = NULL,
  y_lim = NULL,
  xlab = "Prediction",
  ylab = "Observation",
  points_col_list = NULL,
  data_summary = FALSE
)

Arguments

data	Data include observed and predicted outcomes.
obs	Name of observed outcome in the input data.
follow_up	Name of follow-up time (if applicable) in the input data.
pred	Name of first predicted outcome in the input data.
group	Name of grouping column (if applicable) in the input data.
nTiles	Number of tiles (e.g., 10 for deciles) in the calibration plot.
legendPosition	Legend position on the calibration plot.
title	Title on the calibration plot.
x_lim	Limits of x-axis on the calibration plot.
y_lim	Limits of y-axis on the calibration plot.
xlab	Label of x-axis on the calibration plot.
ylab	Label of y-axis on the calibration plot.
points_col_list	Points' color on the calibration plot.
data_summary	Logical indicates whether a summary of the predicted and observed outcomes. needs to be included in the output.

Value

Returns calibration plot (a ggplot object) and a dataset including summary statistics of the predicted and observed outcomes (if data_summary set to be TRUE).

Examples

library(predtools)
library(dplyr)
x <- rnorm(100, 10, 2)
y <- x + rnorm(100,0, 1)
data <- data.frame(x, y)
calibration_plot(data, obs = "x", pred = "y")

predtools documentation built on June 7, 2023, 5:58 p.m.