intubate (version 1.0.0)

RRF: Interfaces for RRF package for data science pipelines.

Description

Interfaces to RRF functions that can be used in a pipeline implemented by magrittr.

Usage

ntbt_RRF(data, ...)
ntbt_rrfImpute(data, ...)

Arguments

data

data frame, tibble, list, ...

...

Other arguments passed to the corresponding interfaced function.

Value

Object returned by interfaced function.

Details

Interfaces call their corresponding interfaced function.

Examples

## Not run: 
# library(intubate)
# library(magrittr)
# library(RRF)
# 
# 
# data(iris)
# set.seed(111)
# ind <- sample(2, nrow(iris), replace = TRUE, prob=c(0.8, 0.2))
# 
# ## Original function to interface
# RRF(Species ~ ., data=iris[ind == 1,])
# 
# ## The interface puts data as first parameter
# ntbt_RRF(iris[ind == 1,], Species ~ .)
# 
# ## so it can be used easily in a pipeline.
# iris[ind == 1,] %>%
#   ntbt_RRF(Species ~ .)
# 
# 
# ## ntbt_rrfImpute: Missing Value Imputations by RRF
# data(iris)
# iris.na <- iris
# set.seed(111)
# for (i in 1:4) iris.na[sample(150, sample(20)), i] <- NA
# 
# ## Original function to interface
# set.seed(222)
# rrfImpute(Species ~ ., iris.na)
# 
# ## The interface puts data as first parameter
# set.seed(222)
# ntbt_rrfImpute(iris.na, Species ~ .)
# 
# ## so it can be used easily in a pipeline.
# set.seed(222)
# iris.na %>%
#   ntbt_rrfImpute(Species ~ .)
# ## End(Not run)