msFillNA: Evaluate Missing Values

In flajole/MSdata: Mass-spectrometry data analysis package

Description

Fill NA positions in data set. See more: pca

Usage

## S4 method for signature 'MSdata'
msFillNA(msdata, method = "min", percent = 0.5)

Arguments

msdata	MSdata-class
method	Method of evaluation, one of: "min", - certain percent of minimal intensity throughout all dataset; "featureMin", "featureMean", "featureMedian" - NAs in feature are replaced by corresponding statistics of this feature intensity values; "GausSim" - random generation of normally distributed values; "knn" - nearest neighbour averaging. impute.knn function is used; "bpca", "ppca", "svdImpute" - imputation based on PCA analysis. pca function is used.
percent	For method = "min". Quotient of minimal value used to replace missing values.

See Also

msNoiseGen

flajole/MSdata documentation built on May 16, 2019, 1:17 p.m.