freqItems {SparkR}

R Documentation

Finding frequent items for columns, possibly with false positives

Description

Finding frequent items for columns, possibly with false positives. Using the frequent element count algorithm described in https://dl.acm.org/doi/10.1145/762471.762473, proposed by Karp, Schenker, and Papadimitriou.

Usage

## S4 method for signature 'SparkDataFrame,character'
freqItems(x, cols, support = 0.01)

Arguments

x	A SparkDataFrame.
cols	A vector column names to search frequent items in.
support	(Optional) The minimum frequency for an item to be considered frequent. Should be greater than 1e-4. Default support = 0.01.

Value

a local R data.frame with the frequent items in each column

Note

freqItems since 1.6.0

See Also

Other stat functions: approxQuantile(), corr(), cov(), crosstab(), sampleBy()

Examples

## Not run: 
##D df <- read.json("/path/to/file.json")
##D fi = freqItems(df, c("title", "gender"))
## End(Not run)

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