Plotting one variable both line-only and points-only, depending on value

Question

I would like to use ggplot2 to plot 3 time series in the same graph. I'd like to plot the first 2 series as solid lines without points. And I would like to plot the third series with points only and no line. How can I do that?

library(ggplot2)
library(reshape2)

d1 <- c(1, 2, 3, 2, 1, 2, 3, 4, 5, 6, 5, 4, 3, 1)
d2 <- c(0, 2, 4, 5, 4, 3, 2, 4, 6, 7, 6, 5, 3, 1)
d3 <- c(0, 1, 2, 4, 4, 2, 1, 3, 4, 7, 8, 3, 5, 0)

ts1 <- ts(d1, c(2015, 01), c(2016, 03), frequency = 12)
ts2 <- ts(d2, c(2015, 01), c(2016, 03), frequency = 12)
ts3 <- ts(d3, c(2015, 01), c(2016, 03), frequency = 12)

# prepare data for ggplot
dat <- ts.union(ts1, ts2, ts3)
dat <- melt(dat, id.vars = "x")

# add dates
dates <- seq(as.Date("2015-01-01"), as.Date("2016-03-01"), by = "months")
dat$Date <- dates

p <- ggplot(dat, aes(x = Date, y = value, col = Var2)) +
  geom_line(aes(linetype = Var2), size = 1) +
  geom_point(aes(shape = Var2), size = 2) +
  scale_linetype_manual(values = c(1, 1, 1)) +
  scale_shape_manual(values = c(0, 1, 2))
print(p)

Answer 1

To take @Rui Barradas's solution one step further, you can use guide_legend/override.aes() to modify the legends for the lines and points by giving the lines NA shape and the points NA linetypes.

my_color <- setNames(c("red", "blue", "green"),
                     c('ts1', 'ts2', 'ts3'))
ggplot(dat, aes(x = Date, y = value, colour = Var2)) +
  geom_line(data = subset(dat, Var2 != "ts3")) +
  geom_point(data = subset(dat, Var2 == "ts3")) +
  scale_color_manual("Legend", values = my_color) +
  guides(color = guide_legend(override.aes = list(linetype = c(1,   1, NA),
                                                  shape    = c(NA, NA, 19)))) +
  theme_classic(base_size = 14)

^{Created on 2019-12-22 by the reprex package (v0.3.0)}

Answer 2

It is possible to keep the data in long format as long as the data argument to the two geom_ layers subsets the full data set. This will automatically create a legend with all the colors.

ggplot(dat, aes(x = Date, y = value, colour = Var2)) +
  geom_line(data = subset(dat, Var2 != "ts3")) +
  geom_point(data = subset(dat, Var2 == "ts3")) +
  scale_color_manual(values = c("red", "blue", "green"))

Answer 3

In such cases it seems keeping data in wide format is beneficial.

tidyr::pivot_wider(dat, names_from = Var2, values_from = value) %>%
     ggplot() +
     geom_line(aes(Date, ts1, color = 'ts1')) + 
     geom_line(aes(Date, ts2, color = 'ts2')) + 
     geom_point(aes(Date, ts3, color = 'ts3'))