This function calculates bin separators either using R's native binning approaches available in the classInt library such as `kmeans`, `jenks`, `pretty` etc. Alternatively, a custom approach is available which is based on finding the nadirs in the density functions for the independent variable. Default approach is k-means clustering.
auto_bin(dat, type = "kmeans", n_bins = 8, verbose = FALSE, ...)# S3 method for numeric
auto_bin(dat, type = "kmeans", n_bins = 8, verbose = FALSE, ...)
# S3 method for data.frame
auto_bin(dat, type = "kmeans", n_bins = 8, verbose = FALSE, ...)
data frame
auto-binning type: "density", "time", or "data"
number of bins to use; either a positive integer or "auto". For "density" the function might not return a solution with the exact number of bins.
show warnings and other messages (TRUE or FALSE)
arguments passed on to underlying binning functions
A vector of bin separators