inverse.transform-methods: inverse.transform transforms an integer vector back to the...

In rnorm/CatEncoders: Encoders for Categorical Variables

Description

inverse.transform transforms an integer vector back to the original vector

Usage

inverse.transform(enc, z)

## S4 method for signature 'LabelEncoder,numeric'
inverse.transform(enc, z)

Arguments

enc	A fitted LabelEncoder
z	A vector of integers

Value

A vector of characters, factors or numerics.

Examples

# character vector y
y <- c('a','d','e',NA)
lenc <- LabelEncoder.fit(y)
# new values are transformed to NA
z <- transform(lenc,c('d','d',NA,'f'))
print(z)
inverse.transform(lenc,z)

# factor vector y
y <- factor(c('a','d','e',NA),exclude=NULL)
lenc <- LabelEncoder.fit(y)
# new values are transformed to NA
z <- transform(lenc,factor(c('a','d',NA,'f')))
inverse.transform(lenc,z)

# numeric vector y
set.seed(123)
y <- c(1:10,NA)
lenc <- LabelEncoder.fit(y)
# new values are transformed to NA
newy <- sample(c(1:10,NA),5)
print(newy)
z <-transform(lenc,newy)
inverse.transform(lenc, z)

rnorm/CatEncoders documentation built on May 27, 2019, 9:57 a.m.