plot_pred: Plot the predictor matrix of an imputation model

In amices/ggmice: Visualizations for 'mice' with 'ggplot2'

Plot the predictor matrix of an imputation model

Description

Plot the predictor matrix of an imputation model

Usage

plot_pred(
  data,
  vrb = "all",
  method = NULL,
  label = TRUE,
  square = TRUE,
  rotate = FALSE
)

Arguments

data	A predictor matrix for mice, typically generated with mice::make.predictorMatrix or mice::quickpred.
vrb	String, vector, or unquoted expression with variable name(s), default is "all".
method	Character string or vector with imputation methods.
label	Logical indicating whether predictor matrix values should be displayed.
square	Logical indicating whether the plot tiles should be squares.
rotate	Logical indicating whether the variable name labels should be rotated 90 degrees.

Value

An object of class ggplot2::ggplot.

Examples

# generate a predictor matrix
pred <- mice::quickpred(mice::nhanes)

# plot predictor matrix for all columns
plot_pred(pred)

# plot predictor matrix for specific columns by supplying a character vector
plot_pred(pred, c("chl", "hyp"))

# plot predictor matrix for specific columns by supplying unquoted variable names
plot_pred(pred, c(chl, hyp))

# plot predictor matrix for specific columns by passing an object with variable names
# from the environment, unquoted with `!!`
my_variables <- c("chl", "hyp")
plot_pred(pred, !!my_variables)
# object with variable names must be unquoted with `!!`
try(plot_pred(pred, my_variables))

amices/ggmice documentation built on July 28, 2024, 5:27 p.m.