latticeExtra: Interfaces for latticeExtra package for data science...

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

Description

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

Usage

ntbt_ecdfplot(data, ...)
ntbt_mapplot(data, ...)
ntbt_rootogram(data, ...)
ntbt_segplot(data, ...)
ntbt_tileplot(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(latticeExtra)


## ntbt_ecdfplot: Trellis Displays of Empirical CDF
data(singer, package = "lattice")

## Original function to interface
ecdfplot(~height | voice.part, data = singer)

## The interface puts data as first parameter
ntbt_ecdfplot(singer, ~height | voice.part)

## so it can be used easily in a pipeline.
singer %>%
  ntbt_ecdfplot(~height | voice.part)


## ntbt_mapplot: Trellis displays on Maps a.k.a. Choropleth maps
library(maps)
library(mapproj)
data(USCancerRates)

## Original function to interface
## Note: Alaska, Hawaii and others are not included in county map;
## this generates warnings with both USCancerRates and ancestry.
suppressWarnings(print(
  
  mapplot(rownames(USCancerRates) ~ log(rate.male) + log(rate.female),
          data = USCancerRates,
          map = map("county", plot = FALSE, fill = TRUE,
                    projection = "mercator"))
  
))

## The interface puts data as first parameter
suppressWarnings(print(
  
  ntbt_mapplot(USCancerRates, rownames(USCancerRates) ~ log(rate.male) + log(rate.female),
               map = map("county", plot = FALSE, fill = TRUE,
                         projection = "mercator"))

  ))

## so it can be used easily in a pipeline.
suppressWarnings(print(
  
  USCancerRates %>%
  ntbt_mapplot(rownames(USCancerRates) ~ log(rate.male) + log(rate.female),
               map = map("county", plot = FALSE, fill = TRUE,
                         projection = "mercator"))

  ))


## ntbt_rootogram: Trellis Displays of Tukey's Hanging Rootograms
library(lattice)
dta <- data.frame(x = rpois(1000, lambda = 50))

## Original function to interface
rootogram(~x, data = dta, dfun = function(x) dpois(x, lambda = 50))

## The interface puts data as first parameter
ntbt_rootogram(dta, ~x, dfun = function(x) dpois(x, lambda = 50))

## so it can be used easily in a pipeline.
dta %>%
  ntbt_rootogram(~x, dfun = function(x) dpois(x, lambda = 50))


## ntbt_segplot: Plot segments using the Trellis framework
data(USCancerRates)

## Original function to interface
segplot(reorder(factor(county), rate.male) ~ LCL95.male + UCL95.male,
        data = subset(USCancerRates, state == "Washington"))

## The interface puts data as first parameter
ntbt_segplot(subset(USCancerRates, state == "Washington"),
             reorder(factor(county), rate.male) ~ LCL95.male + UCL95.male)

## so it can be used easily in a pipeline.
subset(USCancerRates, state == "Washington") %>%
  ntbt_segplot(reorder(factor(county), rate.male) ~ LCL95.male + UCL95.male)

USCancerRates %>%
  subset(state == "Washington") %>%
  ntbt_segplot(reorder(factor(county), rate.male) ~ LCL95.male + UCL95.male)


## ntbt_tileplot: Plot a spatial mosaic from irregular 2D points
tmp <- state.center
tmp$Income <- state.x77[,"Income"]
library(deldir)

## Original function to interface
tileplot(Income ~ x * y, tmp, border = "black",
         panel = function(x, y, ...) {
           panel.voronoi(x, y, ..., points = FALSE)
           panel.text(x, y, state.abb, cex = 0.6)
         })

## The interface puts data as first parameter
ntbt_tileplot(tmp, Income ~ x * y, border = "black",
              panel = function(x, y, ...) {
                panel.voronoi(x, y, ..., points = FALSE)
                panel.text(x, y, state.abb, cex = 0.6)
              })

## so it can be used easily in a pipeline.
tmp %>%
  ntbt_tileplot(Income ~ x * y, border = "black",
                panel = function(x, y, ...) {
                  panel.voronoi(x, y, ..., points = FALSE)
                  panel.text(x, y, state.abb, cex = 0.6)
                })

## End(Not run)

rbertolusso/intubate documentation built on May 27, 2019, 3 a.m.