edata_transform: Apply a Transformation to the Data

In pmartR/pmartRqc: Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data

Apply a Transformation to the Data

Description

This function applies a transformation to the e_data element of omicsData

Usage

edata_transform(omicsData, data_scale)

Arguments

omicsData

an object of the class 'pepData', 'proData', 'metabData', 'lipidData', or 'nmrData', created by as.pepData, as.proData, as.metabData, as.lipidData, or as.nmrData, respectively.

data_scale

a character string indicating the type of transformation to be applied to the data. Valid values for 'pepData', 'proData', 'metabData', 'lipidData', or 'nmrData': 'log2', 'log', 'log10', or 'abundance'. A value of 'abundance' indicates the data has previously undergone one of the log transformations and should be transformed back to raw values with no transformation applied. Valid values for 'seqData': 'upper', 'median', 'lcpm'. For 'seqData', 'lcpm' transforms by log2 counts per million, 'upper' transforms by the upper quartile of non-zero counts, and 'median' transforms by the median of non-zero counts.

Details

For all but seqData, this function is intended to be used before analysis of the data begins, and data are typically analyzed on a log scale. This function is not applicable to seqData objects, as any transformations needed e.g. to allow more meaningful visualization of seqData objects are performed within the pertinent functions.

Value

data object of the same class as omicsData

Author(s)

Kelly Stratton, Natalie Heller

Examples

library(pmartRdata)
mymetab <- edata_transform(omicsData = metab_object, data_scale = "log2")
attr(mymetab, "data_info")$data_scale

pmartR/pmartRqc documentation built on April 25, 2024, 6:18 a.m.