Às 07:21 de 08/06/2025, Luigi Marongiu escreveu:
I would like to plot multivariate data with ggplot2. I have multiple
groups that I need to account for: I have the `x` and `y` values, but
the data must be stratified also by `w` and `z`. I can group by either
`w` or `z`, but how can I group for both simultaneously?
In essence, in the example below, the legend should have two columns
(A and B) and five rows (which are already there since the data is
stratified by w). There should be 10 colors.
How can I do that?
Thank you
```
df = data.frame(x = c(rep(1,5), rep(2,5), rep(3,5), rep(4,5)),
w = rep(letters[1:5],4),
z = c(rep(LETTERS[1],10), rep(LETTERS[2],10)),
y = rnorm(20),
stringsAsFactors = FALSE)
library(ggplot2)
ggplot(df, aes(x=x, y=y, colour=w, group=w)) +
geom_line(linewidth=2) +
ggtitle("A+B")
ggplot(df[df$z=="A",], aes(x=x, y=y, colour=w, group=w)) +
geom_line(linewidth=2) +
ggtitle("A")
ggplot(df[df$z=="B",], aes(x=x, y=y, colour=w, group=w)) +
geom_line(linewidth=2) +
ggtitle("B")
```
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Hello,
You can use the 4th variable to define facets. Like this?
ggplot(df, aes(x=x, y=y, colour=w)) +
geom_line(linewidth=2) +
facet_wrap(~ z, scales = "free_x") +
ggtitle("A+B")
Hope this helps,
Rui Barradas
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