intubate (version 1.0.0)

vcd: Interfaces for vcd package for data science pipelines.

Description

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

Usage

ntbt_agreementplot(data, ...)
ntbt_assoc(data, ...)
ntbt_cd_plot(data, ...)
ntbt_cotabplot(data, ...)
ntbt_loddsratio(data, ...)
ntbt_mosaic(data, ...)
ntbt_sieve(data, ...)
ntbt_spine(data, ...)
ntbt_structable(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(vcd)
# 
# 
# ## ntbt_agreementplot: Bangdiwala's Observer Agreement Chart
# ## Original function to interface
# agreementplot(Freq ~ Gender + Admit, as.data.frame(UCBAdmissions))
# 
# ## The interface puts data as first parameter
# ntbt_agreementplot(as.data.frame(UCBAdmissions), Freq ~ Gender + Admit)
# 
# ## so it can be used easily in a pipeline.
# as.data.frame(UCBAdmissions) %>%
#   ntbt_agreementplot(Freq ~ Gender + Admit)
# 
# 
# ## ntbt_assoc: Extended Association Plots
# ## Original function to interface
# assoc(Freq ~ Gender + Admit, data = as.data.frame(UCBAdmissions))
# 
# ## The interface puts data as first parameter
# ntbt_assoc(as.data.frame(UCBAdmissions), Freq ~ Gender + Admit)
# 
# ## so it can be used easily in a pipeline.
# as.data.frame(UCBAdmissions) %>%
#   ntbt_assoc(Freq ~ Gender + Admit)
# 
# 
# ## ntbt_cd_plot: Conditional Density Plots
# data("Arthritis")
# ## Original function to interface
# cd_plot(Improved ~ Age, data = Arthritis)
# 
# ## The interface puts data as first parameter
# ntbt_cd_plot(Arthritis, Improved ~ Age)
# 
# ## so it can be used easily in a pipeline.
# Arthritis %>%
#   ntbt_cd_plot(Improved ~ Age)
# 
# 
# ## ntbt_cotabplot: Coplot for Contingency Tables
# ## Original function to interface
# cotabplot(~ Admit + Gender | Dept, data = UCBAdmissions)
# 
# ## The interface puts data as first parameter
# ntbt_cotabplot(UCBAdmissions, ~ Admit + Gender | Dept)
# 
# ## so it can be used easily in a pipeline.
# UCBAdmissions %>%
#   ntbt_cotabplot(~ Admit + Gender | Dept)
# 
# 
# ## ntbt_loddsratio: Calculate Generalized Log Odds Ratios for Frequency Tables
# data(Punishment, package = "vcd")
# 
# ## Original function to interface
# loddsratio(Freq ~ memory + attitude | age + education, data = Punishment)
# 
# ## The interface puts data as first parameter
# ntbt_loddsratio(Punishment, Freq ~ memory + attitude | age + education)
# 
# ## so it can be used easily in a pipeline.
# Punishment %>%
#   ntbt_loddsratio(Freq ~ memory + attitude | age + education)
# 
# 
# ## ntbt_mosaic: Extended Mosaic Plots
# library(MASS)
# data("Titanic")
# mosaic(Titanic)
# 
# ## Original function to interface
# mosaic(~ Sex + Age + Survived, data = Titanic,
#        main = "Survival on the Titanic", shade = TRUE, legend = TRUE)
# 
# ## The interface puts data as first parameter
# ntbt_mosaic(Titanic, ~ Sex + Age + Survived,
#             main = "Survival on the Titanic", shade = TRUE, legend = TRUE)
# 
# ## so it can be used easily in a pipeline.
# Titanic %>%
#   ntbt_mosaic(~ Sex + Age + Survived,
#               main = "Survival on the Titanic", shade = TRUE, legend = TRUE)
# 
# 
# ## ntbt_sieve: Extended Sieve Plots
# data("VisualAcuity")
# 
# ## Original function to interface
# sieve(Freq ~ right + left,  data = VisualAcuity)
# 
# ## The interface puts data as first parameter
# ntbt_sieve(VisualAcuity, Freq ~ right + left)
# 
# ## so it can be used easily in a pipeline.
# VisualAcuity %>%
#   ntbt_sieve(Freq ~ right + left)
# 
# 
# ## ntbt_spine: Spine Plots and Spinograms
# data("Arthritis")
# 
# ## Original function to interface
# spine(Improved ~ Treatment, data = Arthritis)
# 
# ## The interface puts data as first parameter
# ntbt_spine(Arthritis, Improved ~ Treatment)
# 
# ## so it can be used easily in a pipeline.
# Arthritis %>%
#   ntbt_spine(Improved ~ Treatment)
# 
# 
# ## ntbt_structable: Structured Contingency Tables
# ## Original function to interface
# structable(Sex + Class ~ Survived + Age, data = Titanic)
# 
# ## The interface puts data as first parameter
# ntbt_structable(Titanic, Sex + Class ~ Survived + Age)
# 
# ## so it can be used easily in a pipeline.
# Titanic %>%
#   ntbt_structable(Sex + Class ~ Survived + Age)
# ## End(Not run)