SARP.compo (version 0.1.5)

conversions: Convert between matrix and data-frame format

Description

These functions convert all pairwise ratio tests between the matrix format and the data.frame format

Usage

Mp.DFp(DFp, col.noms = c( 1, 2 ), col.p = 'p')

Value

The results in the other format: a matrix for Mp.DFp and a 3-columns data.frame for DFp.Mp.

In the matrix form, components will be sorted by alphabetical order.

Arguments

DFp

Results in the data.frame format.

col.noms

A length two character vector giving the columns in the data.frame format that contain the names of the two components of which the ratio is tested. If converting from a data.frame, can be given by number.

col.p

A length one character vector giving the column containing the p-values of the test in the data.frame format. If converting from a data.frame, can be given by number.

Warning

When converting a data.frame to a matrix, there is no control that all possible combinations are present once, and only once, in the data.frame. Missing combinations will have 0 in the matrix; combinations present several time will have the value of the last replicate.

When converting a matrix to a data.frame, the diagonal is not included in the data.frame. The matrix is expected to be symmetric, and only the upper right part is used.

Author

Emmanuel Curis ()

Details

The matrix format is more convenient for manipulations like finding cut-off probabilities or building the hierarchical tree of the components. However, it can only store one value per couple and is more memory consuming.

The data.frame format is more efficient for computations, since it allows to store several results at once. It can also be easily saved and read using text-files and read.table or write.table. However, finding the hierarchical tree of components or building the graph is not so straightforward.

These utilitary functions allow to convert between the two formats.

See Also

creer.Mp to create a matrix of p-values for all possible ratios of a compositional vector.

creer.DFp to create a data.frame of p-values for all possible ratios of a compositional vector.

Examples

  # load the potery data set data( poteries )