I have an hourly data frame with three variables: Obs, Model (grouped in "id") and Clouds, i want to compare the observations with the model but i want to color my background according to cloudiness. Clouds is a daily value (it repeats itself every hour of the day).
data = pivot_longer(data, cols = 2:3, names_to = 'id', values_to = 'var') %>% drop_na()
g = ggplot(data, aes(x = Time, y = var, group = id))
geom_rect(aes(xmin = Time, xmax = lead(Time), ymin = -Inf, ymax = Inf,
color = Clouds), size = 2)
geom_line()
Which is not correct according to the data. Any help?
CodePudding user response:
You should try fill=Clouds
, along with alpha = 0.5
outside of the aes()
.
I'm assuming you've already found this, but I'll leave this here, since it's a similar problem.