metabData {metabCombiner} | R Documentation

## Constructor for the metabData object.

### Description

This is a constructor for objects of type `metabData`.

### Usage

    metabData(
      table,
      mz = "mz",
      rt = "rt",
      id = "id",
      adduct = "adduct",
      samples = NULL,
      Q = NULL,
      extra = NULL,
      rtmin = "min",
      rtmax = "max",
      misspc = 50,
      measure = c("median", "mean"),
      zero = FALSE,
      duplicate = c(0.0025, 0.05)
    )

### Arguments

`table` | Path to file containing feature table or data.frame object containing features
`mz` | Character name(s) or regular expression associated with data column containing m/z values. The first column whose name contains this expression will be selected for analysis.
`rt` | Character name(s) or regular expression associated with data column containing retention time values. The first column whose name contains this expression will be selected for analysis.
`id` | Character name(s) or regular expression associated with data column containing metabolomics feature identifiers. The first column whose name contains this expression will be selected for analysis.
`adduct` | Character name(s) or regular expression associated with data column containing adduct or chemical formula annotations. The first column whose name contains this expression will be selected for analysis.
`samples` | Character name(s) or regular expression associated with data columns. All numeric columns whose names contain these keywords are selected for analysis. If no keywords given, program searches longest stretch of remaining numeric columns.
`Q` | Character name(s) or regular expression associated with numeric feature abundance quantiles. If NULL, abundance quantiles are calculated from sample intensities.
`extra` | Character names of columns containing additional feature information, e.g. non-analyzed sample values. All columns containing these keywords selected and will be displayed in the final output.
`rtmin` | Numeric. Minimum retention time for analysis.
`rtmax` | Numeric. Maximum retention time for analysis.
`misspc` | Numeric. Threshold missingness percentage for analysis.
`measure` | Central quantitation measure, either "median" or "mean".
`zero` | Logical. Whether to consider zero values as missing.
`duplicate` | Numeric ordered pair (m/z, rt) duplicate feature tolerances. Pairs of features within these tolerances are deemed duplicates and one of the pair is removed (see: `findDuplicates`)

### Details

Processed metabolomics feature table must contain columns for m/z, rt, and numeric sample intensities. Some optional fields such as identity `id` and `adduct` label columns may also be supplied. Non-analyzed columns can be included into the final output by specifying the names of these columns in the `extra` argument. All required arguments are checked for validity (e.g. no negative m/z or rt values, each column is used at most once, column types are valid, etc...).

Following this is a pre-analysis filtering of rows that are either: 1) Outside of a specified retention time range (`rtmin`,`rtmax`), 2) Missing in excess of `misspc` percent of analyzed samples, or 3) deemed duplicates by small pairwise <m/z, rt> differences as specified by the `duplicate` argument.

Remaining features are ranked by abundance quantiles, Q, using a central `measure`, either "median" or "mean." Alternatively, the abundance quantiles column can be specified in the argument `Q`.

### Value

An object of class metabData containing the specific information specified by `mz,rt, samples, id, adduct, Q, and extra` arguments, and adjusted by pre-processing steps.

### Examples

    data(plasma30)

    #samples: CHEAR; RedCross samples non-analyzed "extra" columns
    p30 <- metabData(plasma30, mz = "mz", rt = "rt", id = "identity",
                     adduct = "adduct", samples = "CHEAR", extra = "RedCross")

    getSamples(p30)  #should print names of 5 CHEAR Sample column names
    getExtra(p30)    #should print names of 5 Red Cross Sample column names

    #equivalent to above
    p30 <- metabData(plasma30, id = "id", samples = "CHEAR", extra = "Red")

    #analyzing Red Cross samples with retention time limitations (0.5-17.5min)
    p30 <- metabData(plasma30, samples = "Red", rtmin = 0.5, rtmax = 17.5)
    data = getData(p30)
    range(data$rt)

    #using regular expressions for field searches
    p30.2 <- metabData(plasma30, id = "identity|id|ID", samples = ".[3-5]$")
    getSamples(p30.2)    #should print all column names ending in .3, .4, .5

[Package metabCombiner version 1.4.0 Index]