plot_correlation: Plot correlation of two variables.
In PiotrTymoszuk/ExDA: Toolset for Explorative Data Analysis

plot_correlation

R Documentation

Plot correlation of two variables.

Description

plots correlation of two variables. Point plot is available for numeric features and bar plot or bubble plot of the contingency matrix for factors.

Usage

plot_correlation(
  data,
  variables,
  type = c("correlation", "bar", "bubble"),
  scale = c("none", "percent", "fraction"),
  point_alpha = 0.5,
  point_hjitter = 0.05,
  point_wjitter = 0.1,
  point_color = "steelblue",
  point_size = 2,
  line_color = "black",
  line_alpha = 0.25,
  cust_theme = ggplot2::theme_classic(),
  plot_title = NULL,
  plot_subtitle = NULL,
  x_lab = NULL,
  y_lab = NULL,
  show_trend = TRUE,
  show_labels = TRUE,
  signif_digits = 2,
  txt_size = 2.75
)

Arguments

`data`	a data frame.
`variables`	a vector with variable names. If more than two provided, only the first two are analyzed.
`type`	type of the plot. 'correlation' returns a standard point plot, 'bar' returns a bar plot of frequencies, 'bubble' represents the contingency matrix as a bubble plot.
`scale`	the feature to be presented in factor bar plots. 'none' plots counts, 'percent' plots percentages, 'fraction' presents fraction fo complete observations.
`point_alpha`	alpha of the plot points.
`point_hjitter`	point jitter height.
`point_wjitter`	point jitter width.
`point_color`	color of the points in the correlation plot.
`point_size`	size of the points in the plots.
`line_color`	color of the trend line in the correlation plots or the connecting lines in the paired plots.
`line_alpha`	opacity of the connecting lines in the paired plot.
`cust_theme`	custom ggplot2 theme.
`plot_title`	text to be presented in the plot title.
`plot_subtitle`	text to be presented in the plot subtitle.
`x_lab`	text to be presented in the X axis title.
`y_lab`	text to be presented in the Y axis title.
`show_trend`	logical, should a trend line with 95% confidence intervals be presented in the correlation plots?
`show_labels`	logical, should labels with count numbers, percentages or fractions be presented in bar plots?
`signif_digits`	significant digits used for the label value rounding.
`txt_size`	size of the text label.