Trend plot function

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

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)
#> `geom_smooth()` using formula 'y ~ x'