Calculate appropriate bin separators for vpc
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 class 'numeric' auto_bin(dat, type = "kmeans", n_bins = 8, verbose = FALSE, ...) ## S3 method for class 'data.frame' auto_bin(dat, type = "kmeans", n_bins = 8, verbose = FALSE, ...)
dat |
data frame |
type |
auto-binning type: "density", "time", or "data" |
n_bins |
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. |
verbose |
show warnings and other messages (TRUE or FALSE) |
... |
arguments passed on to underlying binning functions |
A vector of bin separators
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