plot_bar: Plot data as bar chart

In ahaeusser/tscv: Functions and utilities for tidy time series forecasting and time series cross-validation

Plot data as bar chart

Description

Plot one or more variables as bar chart.

Usage

plot_bar(
  data,
  x,
  y,
  position = "dodge",
  facet_var = NULL,
  facet_scale = "free",
  facet_nrow = NULL,
  facet_ncol = NULL,
  color = NULL,
  flip = FALSE,
  reorder = FALSE,
  title = NULL,
  subtitle = NULL,
  xlab = NULL,
  ylab = NULL,
  caption = NULL,
  bar_size = 0.75,
  bar_color = "grey35",
  bar_alpha = 1,
  theme_set = theme_tscv(),
  theme_config = list(),
  ...
)

Arguments

data	A data.frame, tibble or tsibble in long format.
x	Unquoted column within .data.
y	Unquoted column within .data containing numeric values.
position	Character value. Possible values are "stack} or \code{"dodge.
facet_var	Unquoted column within .data (facet).
facet_scale	Character value defining axis scaling. Possible values are "free", "fixed", "free_x" and "free_y".
facet_nrow	Integer value. The number of rows.
facet_ncol	Integer value. The number of columns.
color	Unquoted column within .data (color).
flip	Logical value. If TRUE, the plot is flipped from horizontal to vertical.
reorder	Logical value. If TRUE, the values are reordered within each facet.
title	Title of the plot.
subtitle	Subtitle of the plot.
xlab	Label for the x-axis.
ylab	Label for the y-axis.
caption	Caption of the plot.
bar_size	Numeric value defining the line width.
bar_color	Character value defining the line color (ignored if color is present).
bar_alpha	Numeric value defining the transparency of the line.
theme_set	A complete ggplot2 theme.
theme_config	A list with further arguments passed to ggplot2::theme().
...	Currently not in use.

Value

p An object of class ggplot.

ahaeusser/tscv documentation built on July 26, 2023, 3:18 p.m.