h2o: h2o.hist – R documentation

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h2o.hist

Compute A Histogram

Description

Compute a histogram over a numeric column. If breaks=="FD", the MAD is used over the IQR in computing bin width. Note that we do not beautify the breakpoints as R does.

Usage

h2o.hist(x, breaks = "Sturges", plot = TRUE)

Arguments

`x`	A single numeric column from an H2OFrame.
`breaks`	Can be one of the following: A string: "Sturges", "Rice", "sqrt", "Doane", "FD", "Scott" A single number for the number of breaks splitting the range of the vec into number of breaks bins of equal width A vector of numbers giving the split points, e.g., c(-50,213.2123,9324834)
`plot`	A logical value indicating whether or not a plot should be generated (default is TRUE).

Examples

## Not run: 
library(h2o)
h2o.init()

f <- "https://h2o-public-test-data.s3.amazonaws.com/smalldata/iris/iris_train.csv"
iris <- h2o.importFile(f)
h2o.asnumeric(iris["petal_len"])
h2o.hist(iris["petal_len"], breaks = "Sturges", plot = TRUE)

## 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

h2o.hist

Description

Usage

Arguments

Examples

h2o

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