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)
x | An H2OFrame object with at most two columns. |
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y | An H2OFrame similar to x, or |
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. |
Returns a tabulated H2OFrame object.
# 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)]) # }