Compute the correlation matrix of one or two H2OFrames.

h2o.cor(x, y = NULL, na.rm = FALSE, use, method = "Pearson")

cor(x, ...)

## Arguments

x 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 str Method of correlation computation. Allowed values are: "Pearson" - Pearson's correlation coefficient "Spearman" - Spearman's correlation coefficient (Spearman's Rho) Defaults to "Pearson" Further arguments to be passed down from other methods.

## Examples

# NOT RUN {
library(h2o)
h2o.init()

prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
# }