Adding date_breaks to scale_*_time

[llrs]

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.

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Couldn't find any issue related to this

[teunbrand]

I think the breaks_width() and label_time() function from {scales} are already flexible enough to handle such cases, or am I missing something here?

library(hms)
library(ggplot2
library(scales)

df <- data.frame(diff = as_hms(c(1850000, 800)), time = rep(Sys.time(), 2))
p <- ggplot(df) +
  geom_point(aes(time, diff))
p + scale_y_time(
    name   = "Week",
    breaks = breaks_width("1 week"),
    labels = label_time("%W")
  )

p + scale_y_time(
  name = "Days",
  breaks = breaks_width("4 days"),
  labels = label_time("%j")
)

^{Created on 2022-12-03 by the reprex package (v2.0.1)}

[llrs]

I was not aware of this functions when I opened the issue, so this might solve the inmediat problem. However, it wouldn't be consistent with other time related scales_*, which simply use date_breaks = "1 week" and the rest is done by ggplot2 itself.

[llrs]

Many thanks @teunbrand. I see now the argument name discussion. For the record, I don't mind much which name is used, if you find a better argument that would be good too (time_breaks, period_breaks?)

[teunbrand]

The argument names are fine for consistency, which I think is more important than super-accurate argument names. However, if one were to rewrite the scales from scratch, I think it might have been best to allow breaks_width = "10 days".