Uses the cross-classifying factors to build a table of counts at each combination of factor levels.

h2o.table(x, y = NULL, dense = TRUE)

table.H2OFrame(x, y = NULL, dense = TRUE)

Arguments

x

An H2OFrame object with at most two columns.

y

An H2OFrame similar to x, or NULL.

dense

A logical for dense representation, which lists only non-zero counts, 1 combination per row. Set to FALSE to expand counts across all combinations.

Value

Returns a tabulated H2OFrame object.

Examples

# NOT RUN {
library(h2o)
h2o.init()
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.uploadFile(path = prostate_path)
summary(prostate)

# Counts of the ages of all patients
head(h2o.table(prostate[, 3]))
h2o.table(prostate[, 3])

# Two-way table of ages (rows) and race (cols) of all patients
head(h2o.table(prostate[, c(3, 4)]))
h2o.table(prostate[, c(3, 4)])
# }