SLR: Amalgamation (summed) logratio

In easyCODA: Compositional Data Analysis in Practice

Description

Computation of a single amalgamation (summed) logratio

Usage

SLR(data, numer=NA, denom=NA, weight=TRUE)

Arguments

data	A compositional data frame or matrix
numer	Vector of parts in the numerator
denom	Vector of parts in the denominator
weight	Logical indicating if a varying weight is returned (default:TRUE). If FALSE, a weight based on equally-weighted parts is returned. Alternatively a positive weight can be specified.

Details

The function SLR computes a single amalgamation logratio based on the specified numerator and denominator parts that define the two summations in the ratio.

Value

LR	The amalgamation (summed)) logratio (SLR)
LR.wt	The weight assigned to the SLR

Author(s)

Michael Greenacre

References

Aitchison, J. (1986), The Statistical Analysis of Compositional Data, Chapman & Hall.
Greenacre, M. (2018), Compositional Data Analysis in Practice, Chapman & Hall / CRC Press.

See Also

ILR, ALR, CLR, PLR, LR

Examples

data(veg)
SLR(veg, numer=1, denom=2:3)

Example output

Loading required package: ca
Loading required package: vegan
Loading required package: permute
Loading required package: lattice
This is vegan 2.5-7
Loading required package: ellipse

Attaching package: ‘ellipse’

The following object is masked from ‘package:graphics’:

    pairs

$LR
       Asparagus      Beans(soya)         Broccoli          Carrots 
     -0.59015191      -0.32072118      -0.05241199      -2.35713896 
            Corn        Mushrooms           Onions             Peas 
     -2.05846331      -1.60130000      -2.14926421      -1.00785419 
Potatoes(boiled)          Spinach 
     -2.46428736      -0.34045070 

$LR.wt
[1] 0.1873699

easyCODA documentation built on Jan. 15, 2022, 3 a.m.