car: Interfaces for car package for data science pipelines.

In intubate: Interface to Popular R Functions for Data Science Pipelines

Description

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

Usage

ntbt_Boxplot(data, ...)
ntbt_boxTidwell(data, ...)
ntbt_densityPlot(data, ...)
ntbt_invTranPlot(data, ...)
ntbt_leveneTest(data, ...)
ntbt_powerTransform(data, ...)
ntbt_scatter3d(data, ...)
ntbt_scatterplot(data, ...)
ntbt_scatterplotMatrix(data, ...)
ntbt_spreadLevelPlot(data, ...)
ntbt_symbox(data, ...)

Arguments

data	data frame, tibble, list, ...
...	Other arguments passed to the corresponding interfaced function.

Details

Interfaces call their corresponding interfaced function.

Value

Object returned by interfaced function.

Author(s)

Roberto Bertolusso

Examples

## Not run: 
library(intubate)
library(magrittr)
library(car)

## ntbt_Boxplot: Boxplots With Point Identification
## Original function to interface
Boxplot(income ~ type, data = Prestige)

## The interface puts data as first parameter
ntbt_Boxplot(Prestige, income ~ type)

## so it can be used easily in a pipeline.
Prestige %>%
  ntbt_Boxplot(income ~ type)


## ntbt_boxTidwell: Box-Tidwell Transformations
## Original function to interface
boxTidwell(prestige ~ income + education, ~ type + poly(women, 2), data = Prestige)

## The interface puts data as first parameter
ntbt_boxTidwell(Prestige, prestige ~ income + education, ~ type + poly(women, 2))

## so it can be used easily in a pipeline.
Prestige %>%
  ntbt_boxTidwell(prestige ~ income + education, ~ type + poly(women, 2))


## ntbt_densityPlot: Nonparametric Density Estimates
## Original function to interface
densityPlot(income ~ type, data = Prestige)

## The interface puts data as first parameter
ntbt_densityPlot(Prestige, income ~ type)

## so it can be used easily in a pipeline.
Prestige %>%
  ntbt_densityPlot(income ~ type)


## ntbt_invTranPlot: Choose a Predictor Transformation Visually or Numerically
## Original function to interface
invTranPlot(infant.mortality ~ gdp, data = UN)

## The interface puts data as first parameter
ntbt_invTranPlot(UN, infant.mortality ~ gdp)

## so it can be used easily in a pipeline.
UN %>%
  ntbt_invTranPlot(infant.mortality ~ gdp)

## ntbt_leveneTest: Levene's test for homogeneity of variance across groups
## Original function to interface
leveneTest(conformity ~ fcategory*partner.status, data = Moore)

## The interface puts data as first parameter
ntbt_leveneTest(Moore, conformity ~ fcategory*partner.status)

## so it can be used easily in a pipeline.
Moore %>%
  ntbt_leveneTest(conformity ~ fcategory*partner.status)

## ntbt_powerTransform: Finding Univariate or Multivariate Power Transformations
## Original function to interface
powerTransform(cycles ~ len + amp + load, Wool)

## The interface puts data as first parameter
ntbt_powerTransform(Wool, cycles ~ len + amp + load)

## so it can be used easily in a pipeline.
Wool %>%
  ntbt_powerTransform(cycles ~ len + amp + load)


## ntbt_scatter3d: Three-Dimensional Scatterplots and Point Identification
## Original function to interface
## NOTE: need rgl, mgcv, and interactive mode. Commented out.
#scatter3d(prestige ~ income + education, data = Duncan)

## The interface puts data as first parameter
#ntbt_scatter3d(Duncan, prestige ~ income + education)

## so it can be used easily in a pipeline.
#Duncan %>%
#  ntbt_scatter3d(prestige ~ income + education)


## ntbt_scatterplot: Scatterplots with Boxplots
## Original function to interface
scatterplot(prestige ~ income, data = Prestige, ellipse = TRUE)

## The interface puts data as first parameter
ntbt_scatterplot(Prestige, prestige ~ income, ellipse = TRUE)

## so it can be used easily in a pipeline.
Prestige %>%
  ntbt_scatterplot(prestige ~ income, ellipse = TRUE)

## ntbt_scatterplotMatrix: Scatterplot Matrices
## Original function to interface
scatterplotMatrix(~ income + education + prestige | type, data = Duncan)

## The interface puts data as first parameter
ntbt_scatterplotMatrix(Duncan, ~ income + education + prestige | type)

## so it can be used easily in a pipeline.
Duncan %>%
  ntbt_scatterplotMatrix(~ income + education + prestige | type)

## ntbt_spreadLevelPlot: Spread-Level Plots
## Original function to interface
spreadLevelPlot(interlocks + 1 ~ nation, data = Ornstein)

## The interface puts data as first parameter
ntbt_spreadLevelPlot(Ornstein, interlocks + 1 ~ nation)

## so it can be used easily in a pipeline.
Ornstein %>%
  ntbt_spreadLevelPlot(interlocks + 1 ~ nation)

## ntbt_symbox: Boxplots for transformations to symmetry
## Original function to interface
symbox(~ income, data = Prestige)

## The interface puts data as first parameter
ntbt_symbox(Prestige, ~ income)

## so it can be used easily in a pipeline.
Prestige %>%
  ntbt_symbox(~ income)

## End(Not run)

intubate documentation built on May 2, 2019, 2:46 p.m.