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)
x | An H2OFrame object. |
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y |
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na.rm |
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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 |
# NOT RUN { library(h2o) h2o.init() prostate_path <- system.file("extdata", "prostate.csv", package = "h2o") prostate <- h2o.uploadFile(path = prostate_path) var(prostate$AGE) # }