splitData: Splitting Dataset into Train and Test Set

In xxzcool/scoremodel: Credit Scoring Modeling Toolbox

Description

splitData will split the dataset into train and test set by given sampling fraction or quantity, then return a list.

Usage

splitData(df, size, ifpercent = TRUE)

Arguments

df	A dataframe to be splitted.
size	A numeric. Specifies the sampling fraction or quantity of train set.
ifpercent	Logical, indicating whether the sampling fraction or quantity to be specified.

Value

A list contains train and test set, and train set is the fisrt.

Examples

data(CreditData)
splitresult <- splitData(CreditData, size = 0.7, ifpercent = TRUE)
train <- splitresult[[1]]
test <- splitresult[[2]]

xxzcool/scoremodel documentation built on May 4, 2019, 10:56 a.m.