There are some things to take from there and some others not to take.
"fixed" : our default breaks
pretty /sd : pretty is nice but it just creates breaks, so can be used with i = pretty(x) with default what , sd is apparently pretty used on centered/scaled data, so same thing
"equal" is a better name than "n_interval", we should use it as an alias and throw away n_interval after some time
"quantile" : we have it, but should add examples of different quantiles distribution using the functions directly in breaks
"kmeans", "hclust", "bclust", "fisher", or "jenks" : clustering algorithms, some are in base some will require some research, maybe inspect code from classInt (check liscence)
close this task when those issues are assigned as their own issues
https://cran.r-project.org/web/packages/classInt/classInt.pdf
There are some things to take from there and some others not to take.
breaks
pretty
is nice but it just creates breaks, so can be used withi = pretty(x)
with defaultwhat
,sd
is apparentlypretty
used on centered/scaled data, so same thingclose this task when those issues are assigned as their own issues