Normalize data using different normalization methods.
metNor( ms1.data.name = "data.csv", sample.info.name = "sample.info.csv", minfrac.qc = 0, minfrac.sample = 0, optimization = TRUE, multiple = 5, threads = 3, path = "." )
| ms1.data.name | MS1 peak table name. Default is "data.csv". |
|---|---|
| sample.info.name | sample.info name. Default is "sample.info.csv" |
| minfrac.qc | Default is 0. |
| minfrac.sample | Default is 0. |
| optimization | Parameter optimization or not?.Default is TRUE. |
| multiple | If multiple = 1, the svr will be built using injection order. If multiple >= 2, the svr is built using top mutiple peaks correlated peaks. For tof data, default is 5, for mrm data, default is 1. |
| threads | Number of thread. |
| path | Directory |
Xiaotao Shen shenxt@sioc.ac.cn