Compute the correlation matrix of one or two H2OFrames.
h2o.cor(x, y = NULL, na.rm = FALSE, use, method = "Pearson") cor(x, ...)
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 |
method |
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... | Further arguments to be passed down from other methods. |
# NOT RUN { library(h2o) h2o.init() prostate_path <- system.file("extdata", "prostate.csv", package = "h2o") prostate <- h2o.uploadFile(path = prostate_path) cor(prostate$AGE) # }