metaboData provides raw and processed example metabolomics data sets. This document concisely outlines how to access the data sets and the meta information provided.

## Accessing data sets

Load the library:

    library(metaboData)

The example data sets are stored remotely in the releases of the GitHub repository and accessed using the piggyback package. The available data sets can be viewed using:

    availableDataSets()

The available metabolomic techniques can be returned using:

    techniques()

The available data sets for a given metabolomic technique can be returned using:

    dataSets(techniques()[1])

A particular data set can be downloaded for use with:

    downloadDataSet(techniques()[1],
                    dataSets()[1])

By default these will be stored within the library location. This behaviour can be adjusted using the `dataSetDir` and `internalDir` arguments.

File paths for data files within a given data set can be returned using the following:

    files <- filePaths(
        techniques()[1],
        dataSets(techniques()[1])[1])

An experimental description can be retrieved for a given experiment of a given metabolomic technique using:

    experimentDescription <- description(
       techniques()[1],
       dataSets(techniques()[1])[1])

Run information can be retrieved for a given experiment of a given metabolomic technique using:

    info <- runinfo(
        techniques()[1],
        dataSets(techniques()[1])[1])

    head(info)

For `filePaths`, `description` and `runinfo`, if the specified data set is not available locally, by default the user will be prompted to consent to downloading the data. The `ask = FALSE` argument can be used to override this behaviour.

The `abr1` FIE-MS data set from the FIEmspro package is also available via lazy-load.