plot_line: Plot lines of numerical variables. Usefull especially for...

In konradsemsch/ggrapid: Create neat & complete ggplot visualizations with as little code as possible

Description

This function creates nicely formatted, standardised line plots. Color and group parameters for geom_line and geom_point are automatically inherited from the fill parameter.

Usage

plot_line(df, x, y, fill = NULL, facet = NULL, ticks = 10,
  angle = 0, title = TRUE, subtitle = NULL, caption = NULL,
  lab_x = "Value range", lab_y = "Value range", legend = TRUE,
  hline = c(NaN), alpha = 0.7, limit_min = NA, limit_max = NA,
  theme_type = "ipsum", palette = "awtools")

Arguments

df	A data frame.
x	A categorical variable for the x axis groupings.
y	A numerical variable for the y axis levels.
fill	Select an additional grouping variable to be used for plotting. Defaults to NULL.
facet	Select an additional faceting variable to create facets. Defaults to NULL.
ticks	Select the number of ticks on the x and y axis with the number_ticks function. Defaults to 10.
angle	Select the rotation angle for the x axis labels. Defaults to 0.
title	Should the plot title appear automatically. Defaults to TRUE.
subtitle	Text that is displayed on the subtitle. Defaults to NULL.
caption	Text that is displayed on the caption. Defaults to NULL.
lab_x	Text that is displayed on the x axis. Defaults to "Value range".
lab_y	Text that is displayed on the y axis. Defaults to "Value range".
legend	Should the plot legend appear automatically. Defaults to TRUE.
hline	Should any horizontal lines be added to the plot. Defaults to c(NaN).
alpha	Select plot fill transparency. Defaults to 0.7.
limit_min	Select lower limit for the y scale. Defaults to NA.
limit_max	Select upper limit for the y scale. Defaults to NA.
theme_type	Select a theme type from themes available in the apply_theme function. Defaults to "ipsum".
palette	Select a palette type with the select_palette function. Defaults to "awtools".

Examples

library(tidyverse)

tibble(
  time = 1:20,
  value = rnorm(20, 0.5, 2)
  ) %>%
  plot_line(
    x = time,
    y = value,
    ticks = 10,
    hline = 0.05
  )

tibble(
  time = 1:20,
  value = rnorm(20, 0.5, 2)
  ) %>%
  plot_line(
    x = time,
    y = value,
    ticks = 10,
    hline = 0.05,
    limit_min = -2,
    limit_max = 2
  )

konradsemsch/ggrapid documentation built on Nov. 4, 2019, 3:56 p.m.