highlight weekends using ggplot?
Using geom_area() is more concise, and will work for any date range.
library(ggplot2)
test <- data.frame(DATE=seq(from = as.POSIXct("2014-07-16 01:00"),
to = as.POSIXct("2014-07-30 00:00"),
by = "hour"),
count=floor(runif(336,1,100)))
test$weekend <- weekdays(test$DATE) %in% c("Saturday", "Sunday")
ggplot(data=test, aes(x=DATE, y=count)) +
geom_area(aes(y=weekend*max(count)), fill="yellow") +
geom_line() +
labs(title="test")
Here's code that does both weekends in your data. You could generalize to any number of weekends by adding more geom_rect() calls (or calling a loop that does).
# your data
test <- data.frame(DATE=seq(from = as.POSIXct("2014-07-16 01:00"), to = as.POSIXct("2014-07-30 00:00"), by = "hour"),count=floor(runif(336,1,100)))
your_plot <- ggplot(test) + geom_line(aes(x=DATE,y=count)) + labs(title="test")
# get all the start and end points
library(lubridate) # for hour function
sats <- which(hour(test$DATE)==0 & weekdays(test$DATE)=='Saturday')
suns <- which(hour(test$DATE)==23 & weekdays(test$DATE)=='Sunday')
# do your plot plus weekend highlights
your_plot +
geom_rect(aes(xmin=DATE[sats[1]], xmax=DATE[suns[1]],
ymin=min(count), ymax=max(count)),
fill='yellow', alpha=.005) +
geom_rect(aes(xmin=DATE[sats[2]], xmax=DATE[suns[2]],
ymin=min(count), ymax=max(count)),
fill='yellow', alpha=.005)
Here is an approach using Tydiverse tools, and more precisely geom_tile
. The advantage is that you have not to precise the x
boundaries.
library(dplyr)
library(lubridate)
library(ggplot2)
test %>%
# My preference :-)
rename_all(tolower) %>%
# Computing the weekends by converting in weekday starting on monday to ease the cut
mutate(weekend = wday(date, week_start = getOption("lubridate.week.start", 1)) > 5) %>%
ggplot() +
geom_line(aes(x = date, y = count)) +
# And here is the trick!
scale_fill_manual(values = c("alpha", "yellow")) +
geom_tile(aes(
x = date,
y = min(count),
height = Inf,
fill = weekend
), alpha = .4)
Note: I've written a more detailed post on this topic.