summarytable {maanova} | R Documentation

## Summarize the matest result.

### Description

This function returns list of probe ID with p-value, FDR adjusted p-value or fold change selected by given threshold.

### Usage

    summarytable(matestobj, method=c("Fold.change","Pvalperm","adjPvalperm"),
         test =c("F1","Fs"),whichTest=c("F1.Pvalperm","F1.adjPvalperm",
             "Fs.Pvalperm","Fs.adjPvalperm"),
             threshold, outfile="summarytable.csv")

### Arguments

`matestobj` | An object of class `matest`, which is the result from `matest`.
`method` | Results that you want to include in the output among Fold.change, Pvalperm and adjPvalperm. Default is possible every field.
`test` | Test that you want to include in the output among F1, Fs and Fss. Default is possible every test.
`whichTest` | Test result used to get the subset. If whichTest is not provided, save all result.
`threshold` | Threshold that you want to get the subset. If threshold is not provided, save all result.
`outfile` | File name that you want to save the result. Default name is 'summarytable.csv'

### Details

This function use

### Value

`result` | It returns result fields (among Fold.change, P-value or adjust P-value if you selected) from test statistics (among F1, Fs or Fss statistics if you selected), subsetted by given statistics ('whichtest') is smaller than 'threshold'.
`outfile` | .csv file saved under the working directory.

### Author(s)

Hyuna Yang

### Examples

    data(abf1)
    ## Not run:
    fit.full.simple = fitmaanova(abf1,formula = ~ Strain)
    # F-test strain effect
    ftest.all = matest(abf1, fit.full.simple, term="Strain", n.perm= 1000)
    # make FDR adjusted P values
    ftest.all = adjPval(ftest.all, 'jsFDR')
    summarytable(ftest.all, outfile='all.csv')
    smallset = summarytable(ftest.all, method ='Pvalperm',
    test=c('F1','Fs'), whichTest='Fs.Pvalperm', threshold = 0.1)

    ## End(Not run)

[Package maanova version 1.62.0 Index]