batch_bin {mob} | R Documentation |
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
data(hmeq)
batch_bin(hmeq$BAD, hmeq[, c('DEROG', 'DELINQ')])
[Package mob version 0.4.2 Index]