h2o.var: Variance of a column or covariance of columns.

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

Variance of a column or covariance of columns.

Description

Compute the variance or covariance matrix of one or two H2OFrames.

Usage

h2o.var(x, y = NULL, na.rm = FALSE, use)

var(x, y = NULL, na.rm = FALSE, use)

Arguments

x	An H2OFrame object.
y	NULL (default) or an H2OFrame. The default is equivalent to y = x.
na.rm	logical. Should missing values be removed?
use	An optional character string indicating how to handle missing values. This must be one of the following: "everything" - outputs NaNs whenever one of its contributing observations is missing "all.obs" - presence of missing observations will throw an error "complete.obs" - discards missing values along with all observations in their rows so that only complete observations are used

See Also

cor for the base R implementation, var(). h2o.sd for standard deviation.

Examples

## Not run: 
library(h2o)
h2o.init()

prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.uploadFile(path = prostate_path)
var(prostate$AGE)

## End(Not run)

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