Pivot the frame designated by the three columns: index, column, and value. Index and column should be of type enum, int, or time. For cases of multiple indexes for a column label, the aggregation method is to pick the first occurrence in the data frame
h2o.pivot(x, index, column, value)An H2OFrame with columns from the columns arg, aligned on the index arg, with values from values arg
if (FALSE) { # \dontrun{
library(h2o)
h2o.init()
df = h2o.createFrame(rows = 1000, cols = 3, factors = 10, integer_fraction = 1.0/3,
categorical_fraction = 1.0/3, missing_fraction = 0.0, seed = 123)
df$C3 = h2o.abs(df$C3)
h2o.pivot(df, index="C3", column="C2", value="C1")
} # }