plot_corr: Plot correlations between (incomplete) variables

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

Plot correlations between (incomplete) variables

Description

Plot correlations between (incomplete) variables

Usage

plot_corr(
  data,
  vrb = "all",
  label = FALSE,
  square = TRUE,
  diagonal = FALSE,
  rotate = FALSE,
  caption = TRUE
)

Arguments

data	A dataset of class data.frame, tibble, or matrix.
vrb	String, vector, or unquoted expression with variable name(s), default is "all".
label	Logical indicating whether correlation values should be displayed.
square	Logical indicating whether the plot tiles should be squares.
diagonal	Logical indicating whether the correlation of each variable with itself should be displayed.
rotate	Logical indicating whether the variable name labels should be rotated 90 degrees.
caption	Logical indicating whether the figure caption should be displayed.

Value

An object of class ggplot2::ggplot.

Examples

# plot correlations for all columns
plot_corr(mice::nhanes)

# plot correlations for specific columns by supplying a character vector
plot_corr(mice::nhanes, c("chl", "hyp"))

# plot correlations for specific columns by supplying unquoted variable names
plot_corr(mice::nhanes, c(chl, hyp))

# plot correlations for specific columns by passing an object with variable names
# from the environment, unquoted with `!!`
my_variables <- c("chl", "hyp")
plot_corr(mice::nhanes, !!my_variables)
# object with variable names must be unquoted with `!!`
try(plot_corr(mice::nhanes, my_variables))

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