Preproc: Data preprocessing

In AlzbetaG/Metabol: The statistical analysis of metabolomic data

Description

Counting zeros, interpolation by LOESS, checking of coefficient of variation (CV) of quality control samples (QCs), zero imputatuion, summary of data preprocessing.

Usage

Preproc(data, name, groupnames, CVlim = 30)

Arguments

data	Data table sorted according to batch order (in columns) with variables (metabolites) in rows.
name	A character string or expression indicating a name of data set. It occurs in names of every output.
groupnames	A character vector defining specific groups in data. Every string must be specific for each group and they must not overlap.
CVlim	Limit of coefficient of variation (CV) of quality control samples (QCs). All metabolites with CV of QCs higher than this limit will be omitted from the analysis. The default value is 30.

Details

Up to fifteen different groups can be distinguished in data (including QCs).

Value

LOESS curves.

Excel file with preprocessed data.

Examples

data=batchSort
name="Preprocessing"    #name of the project
groupnames=c("Con","Pat","QC")
Preproc(data,name,groupnames)

AlzbetaG/Metabol documentation built on May 31, 2019, 12:39 a.m.