R: How to jitter both geom_line and geom_point in

问题:

I have a ggplot2 linegraph with two lines featuring significant overlap. I'm trying to use position_jitterdodge() so that they are more visible, but I can't get the lines and points to both jitter in the same way. I'm trying to jitter the points and line horizontally only (as I don't want to suggest any change on the y-axis). Here is an MWE:

## Create data frames
dimension <- factor(c("A", "B", "C", "D"))
df <- data.frame("dimension" = rep(dimension, 2),
                 "value" = c(20, 21, 34, 32,
                             20, 21, 36, 29),
                 "Time" = c(rep("First", 4), rep("Second", 4)))
## Plot it
ggplot(data = df, aes(x = dimension, y = value,
                      shape = Time, linetype = Time, group = Time)) +
    geom_line(position = position_jitterdodge(dodge.width = 0.45)) +
    geom_point(position = position_jitterdodge(dodge.width = 0.45)) +
    xlab("Dimension") + ylab("Value")

Which produces the ugly:

I've obviously got something fundamentally wrong here: What should I do to make the geom_point jitter follow the geom_line jitter?

回答1:

Another option for horizontal only would be to specify position_dodge and pass this to the position argument for each geom.

pd <- position_dodge(0.4)

ggplot(data = df, aes(x = dimension, y = value,
                      shape = Time, linetype = Time, group = Time)) +
  geom_line(position = pd) +
  geom_point(position = pd) +
  xlab("Dimension") + ylab("Value")

回答2:

One solution is to manually jitter the points:

df$value_j <- jitter(df$value)

ggplot(df, aes(dimension, value_j, shape=Time, linetype=Time, group=Time)) +
  geom_line() +
  geom_point() +
  labs(x="Dimension", y="Value")

The horizontal solution for your discrete X axis isn't as clean (it's clean under the covers when ggplot2 does it since it handles the axis and point transformations for you quite nicely) but it's doable:

df$dim_j <- jitter(as.numeric(factor(df$dimension)))

ggplot(df, aes(dim_j, value, shape=Time, linetype=Time, group=Time)) +
  geom_line() +
  geom_point() +
  scale_x_continuous(labels=dimension) +
  labs(x="Dimension", y="Value")