dsRead: Loading machine learning data from a directory tree using a...
In readMLData: Reading Machine Learning Benchmark Data Sets in Different Formats

Description Usage Arguments Details Value Author(s) See Also Examples

The function allows to read data sets included in the description in the data frame dsList into R environment using a unified interface.

1 2	dsRead(dsList, id, responseName = NULL, originalNames=TRUE, deleteUnused=TRUE, keepContents=FALSE)

`dsList`	Data frame as created by `prepareDSList()`.
`id`	Name of the data set in `dsList$identification` or the index of the row in `dsList` corresponding to the data set.
`responseName`	Character. The required name of the response column in the output data frame created from the data set.
`originalNames`	If TRUE, the original names of columns are used, if they are present in the description XML file.
`deleteUnused`	Logical. Controls, whether the columns containing case labels or other columns not suitable as attributes, are removed from the data.
`keepContents`	Logical. If `TRUE`, then `deleteUnused` parameter is ignored and no columns are converted to factors.

The function uses dsList$avaiable to determine, whether the files for the required data set is present in the local directory dsList$pathData. If not, a corresponding error message is printed. See prepareDSList() and getAvailable().

A data frame containing the required data set, possibly transformed according to the setting of the parameters responseName, originalNames, deleteUnused. If an error occurred, the function outputs NULL.

Petr Savicky

readMLData, prepareDSList, getAvailable.

  pathData <- getPath("exampleData")
  pathDescription <- getPath("exampleDescription")
  dsList <- prepareDSList(pathData, pathDescription)
  dat <- dsRead(dsList, "glass")
  dim(dat)