I am working with a dataset where there are huge time differences.
If I use scale_*_time I cannot convert those labels to a more meaningful label such as 1 week, 2 weeks... as it can be done with scale_*_date*. Could it be possible to add the date_breaks argument to scale_*_time (or something similar)?
library("hms")
library("ggplot2")
data.frame(diff = as_hms(c(1850000, 800)), time = rep(Sys.time(), 2))
ggplot(df) +
geom_point(aes(time, diff))
This would make it easier to interpret the plots.
Couldn't find any issue related to this
I am working with a dataset where there are huge time differences.
If I use
scale_*_timeI cannot convert those labels to a more meaningful label such as 1 week, 2 weeks... as it can be done withscale_*_date*. Could it be possible to add thedate_breaksargument toscale_*_time(or something similar)?This would make it easier to interpret the plots.
Couldn't find any issue related to this