h2o: h2o.tabulate – R documentation

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h2o.tabulate

Tabulation between Two Columns of an H2OFrame

Description

Simple Co-Occurrence based tabulation of X vs Y, where X and Y are two Vecs in a given dataset. Uses histogram of given resolution in X and Y. Handles numerical/categorical data and missing values. Supports observation weights.

Usage

h2o.tabulate(data, x, y, weights_column = NULL, nbins_x = 50, nbins_y = 50)

Arguments

`data`	An H2OFrame object.
`x`	predictor column
`y`	response column
`weights_column`	(optional) observation weights column
`nbins_x`	number of bins for predictor column
`nbins_y`	number of bins for response column

Value

Returns two TwoDimTables of 3 columns each count_table: X Y counts response_table: X meanY counts

Examples

## Not run: 
library(h2o)
h2o.init()
df <- as.h2o(iris)
tab <- h2o.tabulate(data = df, x = "Sepal.Length", y = "Petal.Width",
             weights_column = NULL, nbins_x = 10, nbins_y = 10)
plot(tab)

## End(Not run)

h2o

R Interface for the 'H2O' Scalable Machine Learning Platform

v3.32.1.2

Apache License (== 2.0)

Authors

Erin LeDell [aut, cre], Navdeep Gill [aut], Spencer Aiello [aut], Anqi Fu [aut], Arno Candel [aut], Cliff Click [aut], Tom Kraljevic [aut], Tomas Nykodym [aut], Patrick Aboyoun [aut], Michal Kurka [aut], Michal Malohlava [aut], Ludi Rehak [ctb], Eric Eckstrand [ctb], Brandon Hill [ctb], Sebastian Vidrio [ctb], Surekha Jadhawani [ctb], Amy Wang [ctb], Raymond Peck [ctb], Wendy Wong [ctb], Jan Gorecki [ctb], Matt Dowle [ctb], Yuan Tang [ctb], Lauren DiPerna [ctb], Tomas Fryda [ctb], H2O.ai [cph, fnd]

Initial release

2021-04-29