plot_point: Plot data as scatterplot

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

Plot data as scatterplot

Description

Plot one or more variables as scatterplot.

Usage

plot_point(
  data,
  x,
  y,
  facet_var = NULL,
  facet_scale = "free",
  facet_nrow = NULL,
  facet_ncol = NULL,
  color = NULL,
  title = NULL,
  subtitle = NULL,
  xlab = NULL,
  ylab = NULL,
  caption = NULL,
  point_size = 1.5,
  point_type = 16,
  point_color = "grey35",
  point_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.
facet_var	Unquoted column within .data (facet).
facet_scale	Character value defining axis scaling (facet_var = "free" or facet_var = "fixed").
facet_nrow	Integer value. The number of rows.
facet_ncol	Integer value. The number of columns.
color	Unquoted column within .data (color).
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.
point_size	Numeric value defining the point size.
point_type	Numeric value defining the point type.
point_color	Character value defining the point color (ignored if color is present).
point_alpha	Numeric value defining the transparency of the points.
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.