h2o (version 3.10.5.2)

h2o.cor: Correlation of columns.

Description

Compute the correlation matrix of one or two H2OFrames.

Usage

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

cor(x, ...)

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

...

Further arguments to be passed down from other methods.

Examples

Run this code

h2o.init()
prosPath <- system.file("extdata", "prostate.csv", package="h2o")
prostate.hex <- h2o.uploadFile(path = prosPath)
cor(prostate.hex$AGE)

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