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Data Mining Algorithms In R/Packages/RWeka/Weka converters

< Data Mining Algorithms In R | Packages | RWeka

Description

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R interfaces to Weka file loaders and savers.

Usage

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C45Loader(file)

XRFFLoader(file)

C45Saver(x, file, control = NULL)

XRFFSaver(x, file, control = NULL)

Arguments

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file, a non-empty character string naming a file to read from or write to.

x, the data to be written, preferably a matrix or data frame. If not, coercion to a data frame is attempted.

control, an object of class Weka_control, or a character vector of control options, or NULL (default).

Details

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C45Loader and C45Saver use the format employed by the C4.5 algorithm/software, where data is stored in two separate ‘.names’ and ‘.data’ files.

XRFFLoader and XRFFSaver handle XRFF (eXtensible attribute-Relation File Format, an XMLbased extension of Weka’s native Attribute-Relation File Format) files.

Value

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Invisibly NULL for the savers.

A data frame containing the data from the given file for the loaders.

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