问题
I have a dataset that looks roughly like this:
names = tibble(NAME_2=c("Location1","Location2","Location3","Location4"))
dates = tibble(date = seq(as.Date("2015-01-01"), as.Date("2016-12-31"), by="days"))
types = tibble(type = c("comment","post"))
df <- merge(names,dates)
df <- merge(df, types)
zero <- seq(from=0, to=200, by=1)
df$n <- sample(zero, size=nrow(df), replace=TRUE)
Which produces a facet plot like this:
ggplot(data = df, aes(x = date, y = n)) +
geom_line() +
facet_grid(type ~ NAME_2, scale = "free_y")
Is it possible to get behavior like ncol=2
in facet_wrap
so that Location3 and Location4 appear below Location1 and Location2? In reality I have about 12 locations, which makes it impossible to print on one page and still keep it legible.
回答1:
You could use grid.arrange
, as in:
library(gridExtra)
grid.arrange(
ggplot(data = df[df$NAME_2 %in% c('Location1','Location2'),], aes(x = date, y = n)) +
geom_line() + xlab(NULL) +
facet_grid(type ~ NAME_2, scale = "free_y"),
ggplot(data = df[df$NAME_2 %in% c('Location3','Location4'),], aes(x = date, y = n)) +
geom_line() +
facet_grid(type ~ NAME_2, scale = "free_y"),
nrow=2)
If you're sure that the x axis ranges line up from top to bottom, you could suppress the x axis tick marks/labels on the first plot.
来源:https://stackoverflow.com/questions/45611725/multiple-rows-in-facet-grid