R: Simple treatment of real vectors

rmult {compositions} | R Documentation

## Simple treatment of real vectors

### Description

A class to analyse real multivariate vectors.

### Usage

     rmult(X,parts=1:NCOL(oneOrDataset(X)),orig=attr(X,"orig"),
                    missingProjector=attr(X,"missingProjector"))
     ## S3 method for class 'rmult'
    print(x,...)

### Arguments

`X` | vector or dataset of numbers considered as elements of a R-vector
`parts` | vector containing the indices xor names of the columns to be used
`x` | an rmult object
`orig` | the original untransformed dataset
`missingProjector` | the Projector on the observed subspace
`...` | further generic arguments passed to `print.default`

### Details

The `rmult` class is a simple convenience class to treat data in the scale of real vectors just like data in the scale of real numbers. A major aspect to take into account is that the internal arithmetic of R is different for these vectors.

### Value

a vector of class `"rmult"` representing one vector or a matrix of class `"rmult"`, representing multiple vectors by rows.

### Author(s)

K.Gerald v.d. Boogaart http://www.stat.boogaart.de

### See Also

`+.rmult`, `scalar`, `norm.rmult`, `%*%.rmult`, `rplus`, `acomp`,

### Examples

    plot(rnorm.rmult(30,mean=0:4,var=diag(1:5)+10))

[Package compositions version 1.40-5 Index]