summary.pps: Summarizing Predictive Power Score

In dlookr: Tools for Data Diagnosis, Exploration, Transformation

Summarizing Predictive Power Score

Description

print and summary method for "pps" class.

Usage

## S3 method for class 'pps'
summary(object, ...)

Arguments

object	an object of class "pps", usually, a result of a call to pps().
...	further arguments passed to or from other methods.

Details

summary.pps compares the PPS by variables.

See Also

pps, plot.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)) {
  # summary pps class 
  mat <- summary(pps_generic)
  mat
}

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

pps_cat

if (!is.null(pps_cat)) {
  # summary pps class 
  tab <- summary(pps_cat)
  tab
}

##-----------------------------------------------------------
# If the target variable is a numerical variable
num <- target_by(iris, Petal.Length)

pps_num <- pps(num)
pps_num

if (!is.null(pps_num)) {
  # summary pps class 
  tab <- summary(pps_num)
  tab
}

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