plot.pps: Visualize Information for an "pps" Object

In dlookr: Tools for Data Diagnosis, Exploration, Transformation

Visualize Information for an "pps" Object

Description

Visualize by attribute of 'pps' class. The plot of a PPS(Predictive Power Score) is a bar plot or tile plot by PPS.

Usage

## S3 method for class 'pps'
plot(x, typographic = TRUE, base_family = NULL, ...)

Arguments

x	an object of class "pps", usually, a result of a call to pps().
typographic	logical. Whether to apply focuses on typographic elements to ggplot2 visualization. The default is TRUE. if TRUE provides a base theme that focuses on typographic elements using hrbrthemes package.
base_family	character. The name of the base font family to use for the visualization. If not specified, the font defined in dlookr is applied. (See details)
...	arguments to be passed to methods, such as graphical parameters (see par).

Details

The base_family is selected from "Roboto Condensed", "Liberation Sans Narrow", "NanumSquare", "Noto Sans Korean". If you want to use a different font, use it after loading the Google font with import_google_font().

Value

A ggplot2 object.

See Also

pps, summary.pps.

Examples

library(dplyr)

# If you want to use this feature, you need to install the 'ppsr' package.
if (!requireNamespace("ppsr", quietly = TRUE)) {
  cat("If you want to use this feature, you need to install the 'ppsr' package.\n")
}

# pps type is generic ======================================
pps_generic <- pps(iris)
pps_generic

if (!is.null(pps_generic)) {
  # visualize pps class 
  plot(pps_generic)
}

# pps type is target_by =====================================
##-----------------------------------------------------------
# If the target variable is a categorical variable
# Using dplyr
pps_cat <- iris %>% 
  target_by(Species) %>% 
  pps()

if (!is.null(pps_cat)) {
  # plot pps class
  plot(pps_cat)
}

##---------------------------------------------------
# If the target variable is a numerical variable
# Using dplyr
pps_num <- iris %>% 
  target_by(Petal.Length) %>% 
  pps()

if (!is.null(pps_num)) {
  # plot pps class
  plot(pps_num)
}

dlookr documentation built on May 29, 2024, 2 a.m.