ggplot_nlp: Custom ggplot-based nested loop plots

In survival-lumc/CauseSpecCovarMI: Multiple imputation for cause-specific Cox models

Custom ggplot-based nested loop plots

Description

Custom ggplot-based nested loop plots

Usage

ggplot_nlp(
  dat,
  estim,
  method_var,
  true,
  step_factors,
  pointsize = 2,
  point_dodge = 0.75,
  text_size = 4,
  top_step = NULL,
  height_betw_steps = NULL,
  height_steps = NULL,
  step_labels = NULL
)

Arguments

dat	Data frame with simulation results
estim	Character for column containing estimates
method_var	Character for column containing method
true	Character for column containing true data-generating estimand value, or a scalar e.g. 0
step_factors	Vector of variable names to use as step factors at bottom of the NLP.
pointsize	Size of points
point_dodge	Measure of horizontal dodge
text_size	Size of the step labels
top_step	Position of top step (on scale of data)
height_betw_steps	Height between NLP step (on scale of data)
height_steps	Height of the NLP steps themselves (on scale of data)
step_labels	Optional named vector of labels for the step functions. Defaults to variable name and the factor labels

Value

A ggplot2 object

Examples

sim_results <- CauseSpecCovarMI::regr_results

# Plot example code here...

survival-lumc/CauseSpecCovarMI documentation built on June 16, 2022, 9:51 a.m.