Compute the correlation matrix of one or two H2OFrames.
Usage
h2o.cor(x, y = NULL, na.rm = FALSE, use)
cor(x, ...)
Arguments
x
An H2OFrame object.
y
NULL (default) or an H2OFrame. The default is equivalent to y = x.
na.rm
logical. Should missing values be removed?
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
...
Further arguments to be passed down from other methods.