"quantile"
style
probs=
argument; should really use n=
, as probs
is set internally to seq(0, 1, 1/n)
. For other vectors, the use of "fixed"
style
is preferable.#46 limiting use of nsamp=
.
#44 correcting logic in largeN=
handling.
classIntervals()
has a new style "box"
, where a box map is an augmented quartile map, with an additional lower and upper category. When there are lower outliers, then the starting point for the breaks is the minimum value, and the second break is the lower fence. When there are no lower outliers, then the starting point for the breaks will be the lower fence, and the second break is the minimum value (there will be no observations that fall in the interval between the lower fence and the minimum value) (@angela-li, @dieghernan).classify_intervals()
is introduced to return a vector of class intervals of same length as input (@JosiahParry)classIntervals()
has a new style "maximum"
which returns maximum breaks classification based on the pysal library mapclassify (@JosiahParry)findCols()
now takes new argument factor
which, when TRUE
returns class membership as a factor with intervals as labels (@JosiahParry)clarify dataPrecision=
argument in help page
Add "headtails"
vignette (@dieghernan)
Add "headtails"
style (@dieghernan)