Obtain the standard deviation of a column of data.
h2o.sd(x, na.rm = FALSE)sd(x, na.rm = FALSE)
An H2OFrame object.
logical
. Should missing values be removed?
h2o.var
for variance, and sd
for the base R implementation.
if (FALSE) {
library(h2o)
h2o.init()
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.uploadFile(path = prostate_path)
sd(prostate$AGE)
}
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