apply.tbin: Extrapolate t-test based binning to a new data

In corkscrew: Preprocessor for Data Modeling

Description

Extrapolates the binning of categorical variables to the new datasets.

Usage

apply.tbin(idv, train.output, test)

Arguments

idv	Predictor variables in the dataframe which are categorical and need to be binned.
train.output	The output object of the tbin function.
test	A new data set on which binning has to be extrapolated.

Details

This function performs binning on the new dataset based on the output object from the tbin function.

Value

Returns a dataframe which contains the extrapolated variables of the output object from tbin function appended to the new dataset.

Warning

New level error is thrown if the new dataset contains new levels other than what is present in the old dataset.

Author(s)

Mohan Manivannan

See Also

tbin, ctoc, apply.ctoc.

Examples

train = as.data.frame(cbind(runif(1000, 10, 1000),sample(1:40, 1000,TRUE)))
colnames(train) = c("response","state")
train$state = as.factor(train$state)
train.output = tbin(dv = "response",idv = c("state"),train,25,TRUE)

# extrapolating the tbin function to a new dataset using apply.tbin
test = as.data.frame(sample(1:40, 100,TRUE))
colnames(test) = c("state")
test$state = as.factor(test$state)
test.output = apply.tbin(idv = c("state"), train.output, test)

Example output

Loading required package: ggplot2
Loading required package: gplots

Attaching package: 'gplots'

The following object is masked from 'package:stats':

    lowess

Loading required package: RColorBrewer
Loading required package: igraph

Attaching package: 'igraph'

The following objects are masked from 'package:stats':

    decompose, spectrum

The following object is masked from 'package:base':

    union

corkscrew documentation built on May 1, 2019, 8:23 p.m.