library(apexcharter)
library(dplyr)

# economics dataset from ggplot2
data("economics", package = "ggplot2")
economics <- tail(economics, 50)

data("economics_long", package = "ggplot2")
economics_long <- economics_long %>% 
  filter(variable %in% c("pce", "pop")) %>% 
  group_by(variable) %>% 
  slice(tail(row_number(), 20))

Type of line

Classic line:

apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed))

Spline curve:

apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed)) %>% 
  ax_stroke(curve = "smooth")

Steps chart:

apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed)) %>% 
  ax_stroke(curve = "stepline")

Line appearance

Color line with gradient:

Solid area color:

apex(data = economics, type = "area", mapping = aes(x = date, y = uempmed)) %>% 
  ax_fill(type = "solid", opacity = 1)

Line width:

apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed)) %>% 
  ax_stroke(width = 1)

Dotted line

apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed)) %>% 
  ax_stroke(dashArray = 6)

Markers

Add points to line :

apex(data = tail(economics, 20), type = "line", mapping = aes(x = date, y = uempmed)) %>% 
  ax_markers(size = 6)

Add labels over points

apex(data = tail(economics, 20), type = "line", mapping = aes(x = date, y = uempmed)) %>% 
  ax_markers(size = 6) %>% 
  ax_dataLabels(enabled = TRUE)

Multiple lines

You can use vectors of parameters to custom series separately:

apex(data = economics_long, type = "line", mapping = aes(x = date, y = value01, group = variable)) %>% 
  ax_yaxis(decimalsInFloat = 2) %>% 
  ax_markers(size = c(3, 6)) %>% 
  ax_stroke(width = c(1, 3))
apex(data = economics_long, type = "line", mapping = aes(x = date, y = value01, group = variable)) %>% 
  ax_yaxis(decimalsInFloat = 2) %>% 
  ax_stroke(dashArray = c(8, 5))