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

var for the base R implementation. h2o.sd for standard deviation.

Examples

# NOT RUN {
h2o.init()
prosPath <- system.file("extdata", "prostate.csv", package="h2o")
prostate.hex <- h2o.uploadFile(path = prosPath)
var(prostate.hex$AGE)
# }