statAnalysis {statTarget} | R Documentation

## statAnalysis for statistical analysis for omics data or others.

### Description

statAnalysis provides the statistical analysis for metabolomics data or others.

### Usage

    statAnalysis(file, Frule = 0.8, normM = "NONE", imputeM = "KNN",
      glog = TRUE, FDR = TRUE, ntree = 500, nvarRF = 5,
      scaling = "Pareto", plot.volcano = TRUE, save.boxplot = FALSE,
      silt = 20, pcax = 1, pcay = 2, Labels = TRUE, upper.lim = 2,
      lower.lim = 0.5, sig.lim = 0.05)

### Arguments

`file` | The file with the expression information.
`Frule` | Modified n precent rule function. A variable will be kept if it has a non-zero value for at least n precent of samples in any one group. (Default: 0.8)
`normM` | The parameter for normalization method (i.e median quotient normalization, 'PQN'; integral normalization , 'SUM', and 'NONE').
`imputeM` | The parameter for imputation method i.e., nearest neighbor averaging, 'KNN'; minimum values, 'min'; Half of minimum values, 'minHalf'; median values, 'median'.
`glog` | Generalised logarithm (glog) transformation, with the default value TRUE. The glog is a better behaved log transformation when some data values are zero or just near zero.
`FDR` | The false discovery rate for conceptualizing the rate of type I errors in null hypothesis testing when conducting multiple comparisons.
`ntree` | Number of trees to grow for randomForest model. This should not be set to too small a number, to ensure that every input row gets predicted at least a few times.
`nvarRF` | The number of the variables with top importance in randomforest model
`scaling` | Scaling method before statistic analysis (PCA or PLS-DA). 'pareto', 'Pareto', 'p' or 'P' can be used for specifying the Pareto scaling. 'auto', 'Auto', 'auto', 'a' or 'A' can be used for specifying the Auto scaling (or unit variance scaling). 'vast', 'Vast', 'v' or 'V' can be used for specifying the vast scaling. 'range', 'Range', 'r' or 'R' can be used for specifying the Range scaling.
`plot.volcano` | if TRUE, the volcano plot is performed
`save.boxplot` | if TRUE, the box plot is performed
`silt` | The number of permutation for PLS-DA model and variable importance of randomForest.
`pcax` | Principal components in PCA model for the x-axis.
`pcay` | Principal components in PCA model for the y-axis.
`Labels` | Name labels for score plot of multiple statistical analysis
`upper.lim` | The up-regulated metabolites using Fold Changes cut off values in the Volcano plot. Fold change values will be calculated before normalization step.
`lower.lim` | The down-regulated metabolites using Fold Changes cut off values in the Volcano plot. Fold change values will be calculated before normalization step.
`sig.lim` | The significance level for metabolites in the Pvalues file in the Volcano plot.

### Value

The statAnalsis output files. See the details at https://stattarget.github.io

### Author(s)

Hemi Luan, hemi.luan@gmail.com

### Examples

    datpath <- system.file('extdata',package = 'statTarget')
    file <- paste(datpath,'data_example.csv', sep='/')
    statAnalysis(file,Frule = 0.8, normM = 'NONE', imputeM = 'KNN', glog = TRUE,scaling = 'Pareto')

[Package statTarget version 1.17.4 Index]