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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)
An H2OFrame object.
NULL
(default) or an H2OFrame. The default is equivalent to y = x.
logical
. Should missing values be removed?
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
cor
for the base R implementation, var()
. h2o.sd
for standard deviation.
# NOT RUN {
library(h2o)
h2o.init()
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.uploadFile(path = prostate_path)
var(prostate$AGE)
# }
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