bigQC: Quality control samples (QCs) checking

In AlzbetaG/Metabol: The statistical analysis of metabolomic data

Description

Quality control samples (QCs) are checked to data irregularities. It is used for data from untargeted metabolomic analysis.

Usage

bigQC(data, name, groupnames)

Arguments

data	Data table with variables (metabolites) in columns. Samples in rows are sorted according to specific groups.
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.

Details

Values of QCs are evaluated and questionable values for particular variables are denoted. There are two steps of evaluation: 1. QCs with completely higher values than the maximum of data, 2. QCs higher than majority of data.

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

Value

Boxplots of QCs and the other data groups.

Excel file with the list of questionable variables from two steps of evaluation.

Examples

data=metabol
name="Metabolomics"    #name of the project
groupnames=c("Con","Pat","QC")
bigQC(data,name,groupnames)

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