trend_plot: Trend plot function

In swehip/slrplotfun: Plot functions for the Swedish Arthroplasty Register

Trend plot function

Description

Simple function to show trend in percent (y_var) between different years (x_var) using ggplot2::geom_smooth().

Usage

trend_plot(
  df,
  x_var,
  y_var,
  y_breaks = 5,
  y_lim = c(54.9, 65.1),
  x_breaks = 5,
  y_lab = "Procent kvinnor",
  x_lab = "år",
  title = NULL,
  subtitle = NULL,
  line_color = slr_colors(1),
  fill_color = "#CADBD5",
  line_size = 1,
  point_size = 1,
  percent_accuracy = 1
)

Arguments

df	Data frame.
x_var, y_var	X and Y variable.
y_breaks	Length between each break on y-axis.
y_lim	Limit on y-axis.
x_breaks	Length between each break on x-axis.
x_lab, y_lab	X and Y-axis labels, use NULL for no label.
title	Plot title, NULL for no title.
subtitle	Small text under title, NULL for no subtitle.
line_color	Color of the line.
fill_color	Fill color
line_size	Size of the line.
point_size	Size of the points.
percent_accuracy	Set accuracy for scales::percent_format().

Value

            ggplot object containing trend plot.

Examples

# Creating data
set.seed(123)
df <- data.frame(year = 2000:2017, prob = rnorm(18, 0.5, 0.02))

# Trend
trend_plot(df, 'year', 'prob', y_breaks = 2, y_lim = range(df$prob) * 100)

swehip/slrplotfun documentation built on Oct. 25, 2022, 10:50 a.m.