h2o.summary: Summarizes the columns of an H2OFrame.

In h2o: R Interface for the 'H2O' Scalable Machine Learning Platform

Summarizes the columns of an H2OFrame.

Description

A method for the summary generic. Summarizes the columns of an H2O data frame or subset of columns and rows using vector notation (e.g. dataset[row, col]).

Usage

h2o.summary(object, factors = 6L, exact_quantiles = FALSE, ...)

## S3 method for class 'H2OFrame'
summary(object, factors, exact_quantiles, ...)

Arguments

object	An H2OFrame object.
factors	The number of factors to return in the summary. Default is the top 6.
exact_quantiles	Compute exact quantiles or use approximation. Default is to use approximation.
...	Further arguments passed to or from other methods.

Details

By default it uses approximated version of quantiles computation, however, user can modify this behavior by setting up exact_quantiles argument to true.

Value

A table displaying the minimum, 1st quartile, median, mean, 3rd quartile and maximum for each numeric column, and the levels and category counts of the levels in each categorical column.

Examples

## Not run: 
library(h2o)
h2o.init()
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.importFile(path = prostate_path)
summary(prostate)
summary(prostate$GLEASON)
summary(prostate[, 4:6])
summary(prostate, exact_quantiles = TRUE)

## End(Not run)

h2o documentation built on May 29, 2024, 4:26 a.m.