iterative_quant_bin: Iterative Quantile Binning

In kmaurer/binsemble:

Description

used for binning the numeric values by empirical quantile

Usage

iterative_quant_bin(data, bin_cols, nbins, jit = rep(0, length(bin_cols)),
  output = "data")

Arguments

data	data frame to be binned (will coerce matrix or tibble to simple data frame)
bin_cols	vector of column names of variables to iteratively bin, ordered first to last
nbins	vector of number of bins per step of iterative binning, ordered first to last
jit	vector of margins for uniform jitter to each dimension to create seperability of tied obs due to finite precision
output	Output Structure: "data" for just the binned data,"definition" for a list of bin centers and boundaries, or "both" for list containing both data and definition

Value

output as specified

Examples

iterative_quant_bin(data=iris, bin_cols=c("Sepal.Length","Sepal.Width","Petal.Width"),
                    nbins=c(3,5,2), output="both",jit=rep(0.001,3))
iterative_quant_bin(data=iris, bin_cols=c("Sepal.Length","Sepal.Width","Petal.Width"),
                    nbins=c(3,5,2), output="both")

kmaurer/binsemble documentation built on May 7, 2019, 9:50 p.m.