changing plot_missing threshold classification

[prvst]

Is it possible to change the plot_missing threshold classification ? I work with data sets which 2% missing is already bad, but when I plot them using plot_missing it says that they are good. The plots are not for me, so this might confuse some people.

[boxuancui]

As a temporary solution, you can hack profile_missing and plot_missing function by tweaking the threshold.

[prvst]

Thanks
nice job with this package btw.

[boxuancui]

@prvst I still plan to put something in place for end users to customize the threshold. However, I do not have a good idea at this moment. I am re-opening, so that it doesn't disappear off the radar.

[prvst]

cool, thanks for the quick reply

[boxuancui]

@prvst With the latest develop branch, you can customize the band.

Example:

plot_missing(airquality, group = list("B1" = 0, "B2" = 0.06, "B3" = 1))