GroupSummary: Summary of the groups
In metabolomics: Analysis of Metabolomics Data

Description Usage Arguments Value Author(s) Examples

Computes the mean, standard deviation, and coefficient of variation for each group in a data matrix.

1	GroupSummary(inputdata)

inputdata

A data frame in the input data format. See metabolomics for details.

A list containing:

`means`	A matrix of means for each group.
`std`	A matrix of standard deviation for each group.
`cv`	A matrix of coefficient of variation for each group.

Alysha M De Livera, Jairus B Bowne

    data(treated)
    treated.log <- LogTransform(treated)$output

    #Means of each metabolite in each group
    GroupSummary(treated.log)$means

    #Standard deviation of each metabolite in each group    
    GroupSummary(treated.log)$std
    
    #Coefficient of variation of each metabolite in each group
    GroupSummary(treated.log)$cv