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

In konradsemsch/aider: Perform everyday analytical and data science tasks more efficiently

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 = 1, limit_min = NA, limit_max = NA,
  palette = "cartography", theme_type = "grey")

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 y axis. 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 1
limit_min	Select lower limit for the y scale. Defaults to NA
limit_max	Select upper limit for the y scale. Defaults to NA
palette	Select a color palette from colors available in the select_palette function
theme_type	Select a theme type from themes available in the aider_theme function

Examples

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

data_frame(
  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/aider documentation built on May 22, 2019, 2:40 p.m.