Variance of a column or covariance of columns.

Source: R/frame.R

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

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)
# }