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mob (version 0.4.2)

batch_bin: Apply monotonic binning to all vectors in dataframe

Description

The function batch_bin applies multiple binning algorithms in batch to each vector in the dataframe.

Usage

batch_bin(y, xs, method = 1)

Arguments

y

A numeric vector with 0/1 binary values.

xs

A dataframe with numeric vectors to discretize.

method

A integer from 1 to 7 referring to implementations below: 1. Implementation of iso_bin() 2. Implementation of qtl_bin() 3. Implementation of bad_bin() 4. Implementation of rng_bin() 5. Implementation of gbm_bin() 6. Implementation of kmn_bin() 7. Implementation of arb_bin()

Value

A list of binning outcomes with 2 dataframes: bin_sum: A dataframe of binning summary. bin_out: A list of binning output from binning functions, e.g. qtl_bin().

Examples

Run this code
# NOT RUN {
data(hmeq)
batch_bin(hmeq$BAD, hmeq[, c('DEROG', 'DELINQ')])
# }

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