multiplot: Plot two or more EDA objects.
In PiotrTymoszuk/ExDA: Toolset for Explorative Data Analysis

multiplot

R Documentation

Plot two or more EDA objects.

Description

Plots values of two or more EDA objects as a classical bar, violin, boxplot or correlation point plot representation.

Usage

multiplot(
  ...,
  eda_names = NULL,
  type = c("default", "bar", "violin", "box", "hist", "correlation", "paired", "bubble",
    "stack"),
  scale = c("none", "fraction", "percent"),
  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,
  txt_color = "black",
  geom_label = TRUE,
  bins = NULL,
  facet_hist = c("none", "horizontal", "vertical"),
  x_n_labs = FALSE
)

Arguments

`...`	numeric-type EDA objects, at least two, created by `eda`.
`eda_names`	a vector with names of the EDA objects.
`type`	type of the plot. 'default' plots violin for numeric EDAs and bars for factors. 'bar', 'bubble' or 'stack' (stack-bar plot) are available for factor-type EDAs. 'violin', 'box', 'hist', 'correlation' and 'paired' are available for numeric-type objects.
`scale`	the feature to be presented in factor bar or bubble 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.
`txt_color`	color of the text label.
`geom_label`	logical, should the text in the stacked bar plot be presented as a ggplot's geom_label?
`bins`	bin number, passed to `histogram`.
`facet_hist`	'none': histograms are overlaid, 'horizontal': horizontal or 'vertical': vertical faceting.
`x_n_labs`	logical. If TRUE, n numbers per strata are displayed in the X axis of the plot instead of the plot tag. Defaults to FALSE and concerns violin, box, paired and stack plots.