a lower-triangular dissimilarity matrix.

if = "zero" sets all negative eigenvalues to zero;
if = "rm" corrects for negative eigenvalues using method
1 of Legendre and Anderson 1999.

negvals

if greater than 0, attempts to correct for round-off error by
rounding to that number of places.

dround

Principal coordinates analysis (classical scaling).

 multivariate

Dissimilarity-based analysis functions including ordination and Mantel test functions, intended for use with spatial and community data. The original package description is in Goslee and Urban (2007) <doi:10.18637/jss.v022.i07>, with further statistical detail in Goslee (2010) <doi:10.1007/s11258-009-9641-0>.

Sarah Goslee

ecodist

Dissimilarity-Based Functions for Ecological Analysis

Dean Urban

pco function

<dl> <dt>x</dt>
<dd>a lower-triangular dissimilarity matrix.</dd> <dt>negvals</dt>
<dd>if = "zero" sets all negative eigenvalues to zero;
if = "rm" corrects for negative eigenvalues using method
1 of Legendre and Anderson 1999.</dd> <dt>dround</dt>
<dd>if greater than 0, attempts to correct for round-off error by
rounding to that number of places.</dd></dl>

Arguments

Author

Principal coordinates analysis — pco

<dl>

 <dt>x</dt>
<dd>a lower-triangular dissimilarity matrix.</dd>

 <dt>negvals</dt>
<dd>if = "zero" sets all negative eigenvalues to zero;
if = "rm" corrects for negative eigenvalues using method
1 of Legendre and Anderson 1999.</dd>

 <dt>dround</dt>
<dd>if greater than 0, attempts to correct for round-off error by
rounding to that number of places.</dd>

</dl>

pco: Principal coordinates analysis

Description

Usage

Value

Arguments

Author

Details

See Also

Examples