Function to find maximum possible l value.

Description

This function approximates the highest possible value for l in a nested loop.

Usage

test.l.max(X, n = 10, ...)

Arguments

Value

A numeric scalar, maximal possible l value.

Author(s)

Michael Dietze, Elisabeth Dietze

References

Dietze E, Hartmann K, Diekmann B, IJmker J, Lehmkuhl F, Opitz S, Stauch G, Wuennemann B, Borchers A. 2012. An end-member algorithm for deciphering modern detrital processes from lake sediments of Lake Donggi Cona, NE Tibetan Plateau, China. Sedimentary Geology 243-244: 169-180.
Klovan JE, Imbrie J. 1971. An Algorithm and FORTRAN-IV Program for Large-Scale Q-Mode Factor Analysis and Calculation of Factor Scores. Mathematical Geology 3: 61-77.

See Also

EMMA, check.data, test.parameters

Examples

## load example data set
data(X, envir = environment())

## create weight transformation limits vector
l <- seq(from = 0, to = 0.6, by = 0.02)

## test l.max
l.max <- test.l.max(X = X)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(EMMAgeo)
Loading required package: GPArotation
Loading required package: limSolve
Loading required package: shape
Loading required package: shiny
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/EMMAgeo/test.l.max.Rd_%03d_medium.png", width=480, height=480)
> ### Name: test.l.max
> ### Title: Function to find maximum possible l value.
> ### Aliases: test.l.max
> ### Keywords: EMMA
> 
> ### ** Examples
> 
> ## load example data set
> data(X, envir = environment())
> 
> ## create weight transformation limits vector
> l <- seq(from = 0, to = 0.6, by = 0.02)
> 
> ## test l.max
> l.max <- test.l.max(X = X)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>