cor.mat.fun

Generates a correlation matrix for the environmental variables generated in <code>make.env</code> and for correlated species optima in <code>species</code>. Only used when correlated environmental variables or optima are generated.

 datagen 

Several tests of quantitative palaeoenvironmental reconstructions
from microfossil assemblages, including the null model tests of the
statistically significant of reconstructions developed by Telford and Birks
(2011) <doi:10.1016/j.quascirev.2011.03.002>, and tests of the effect of
spatial autocorrelation on transfer function model performance using methods
from Telford and Birks (2009) <doi:10.1016/j.quascirev.2008.12.020> and
Trachsel and Telford (2016) <doi:10.5194/cp-12-1215-2016>. Age-depth models with
generalized mixed-effect regression from Heegaard et al (2005)
<doi:10.1191/0959683605hl836rr> are also included.

Richard Telford

palaeoSig

Significance Tests for Palaeoenvironmental Reconstructions

Mathias Trachsel

cor.mat.fun function

<dl> <dt>ndim</dt>
<dd>Number of environmental variables that are subsequently generated with <code>make.env</code>.
</dd><dt>cors</dt>
<dd>List of correlations between environmental variables. Each element of the list consists of three numbers, the first two numbers indicate the variables that are correlated, the third number is the correlation coefficient. If correlations between two variables are omitted the correlation remains 0. 
</dd></dl>

Arguments

Mathias Trachsel

Author

Generates correlation matrix 
 — cor.mat.fun

<dl>

 <dt>ndim</dt>
<dd>Number of environmental variables that are subsequently generated with <code>make.env</code>.
</dd>

<dt>cors</dt>
<dd>List of correlations between environmental variables. Each element of the list consists of three numbers, the first two numbers indicate the variables that are correlated, the third number is the correlation coefficient. If correlations between two variables are omitted the correlation remains 0. 
</dd>

</dl>

cor.mat.fun: Generates correlation matrix

Description

Usage

Value

Arguments

Author

See Also

Examples