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Constructor for the LongTableDataMapper class, which maps from one or more raw experimental data files to the slots of a LongTable object.

LongTableDataMapper.Rd

Constructor for the LongTableDataMapper class, which maps from one or more raw experimental data files to the slots of a LongTable object.

Usage

LongTableDataMapper(
  rawdata = data.frame(),
  rowDataMap = list(character(), character()),
  colDataMap = list(character(), character()),
  assayMap = list(list(character(), character())),
  metadataMap = list(character())
)

Arguments

rawdata

A data.frame of raw data from a treatment response experiment. This will be coerced to a data.table internally. We recommend using joins to aggregate your raw data if it is not present in a single file.

rowDataMap

A list-like object containing two character vectors. The first is column names in rawdata needed to uniquely identify each row, the second is additional columns which map to rows, but are not required to uniquely identify them. Rows should be drugs.

colDataMap

A list-like object containing two character vectors. The first is column names in rawdata needed to uniquely identify each column, the second is additional columns which map to rows, but are not required to uniquely identify them. Columns should be samples.

assayMap

A list-like where each item is a list with two character vectors defining an assay, the first containing the identifier columns in rawdata needed to uniquely identify each row an assay, and the second the rawdata columns to be mapped to that assay. The names of assayMap will be the names of the assays in the LongTable that is created when calling metaConstruct on this DataMapper object. If the character vectors have names, the value columns will be renamed accordingly.

metadataMap

A list-like where each item is a character vector of rawdata column names to assign to the @metadata of the LongTable, where the name of that assay is the name of the list item. If names are omitted, assays will be numbered by their index in the list.

Value

A LongTable object, with columns mapped to it's slots according to the various maps in the LongTableDataMapper object.

Details

The guessMapping method can be used to test hypotheses about the cardinality of one or more sets of identifier columns. This is helpful to determine the id columns for rowDataMap and colDataMap, as well as identify columns mapping to assays or metadata.

To attach metadata not associated with rawdata, please use the metadata assignment method on your LongTableDataMapper. This metadata will be merged with any metadata from metadataMap and added to the LongTable which this object ultimately constructs.

See also

guessMapping

Examples

data(exampleDataMapper)
exampleDataMapper
#> <LongTableDataMapper> 
#> rawdata: dim(3, 4)
#>      treatmentid sampleid viability        metadata
#>           <char>   <char>     <num>          <char>
#>   1:       drug1    cell1      0.75 additional info
#>   2:       drug1    cell1      0.10 additional info
#>   3: drug1 cell1 0.90 additional info 
#> 
rowDataMap: NA
#> colDataMap: NA
#> assayMap: NA
#> metadataMap: NA