eigenmap-class: Class and methods for spatial eigenvector maps

Description Usage Arguments Details Value Author(s) References See Also

Description

Methods to handle spatial eigenvector maps of a set of locations in a space with an arbitrary number of dimension.

Usage

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## S3 method for class 'eigenmap'
print(x, ...)
## S3 method for class 'eigenmap'
plot(x, ...)

Arguments

x

An object of eigenmap-class

...

Further parameters to be passed to other functions or methods (currently ignored).

Details

The print method provides the number of the number of orthonormal variables (i.e. basis functions), the number of observations these functions are spanning, and their associated eigenvalues.

The plot method provides a plot of the eigenvalues and offers the possibility to plot the values of variables for 1- or 2-dimensional sets of coordinates. plot.eigenmap opens the default graphical device driver, i.e., X11, windows, or quartz and recurses through variable with a left mouse click on the graphical window. A right mouse click interrupts recursing on X11 and windows (Mac OS X users should hit Esc on the quartz graphical device driver (Mac OS X users).

Value

eigenmap-class objects contain:

coordinates

a matrix of coordinates,

truncate

the interval within which pairs of sites are considered as neighbour,

D

the distance matrix,

weighting

the weighting function that had been used,

wpar

the weighting function parameter that had been used,

lambda

a vector of the eigenvalues obtain from the computation of the eigenvector map, and

U

a matrix of the eigenvectors defining the eigenvector map.

Author(s)

Guillaume Guénard, Département des sciences biologiques, Université de Montréal, Montréal, Québec, Canada.

References

Dray, S.; Legendre, P. and Peres-Neto, P. 2006. Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbor matrices (PCNM). Ecol. Modelling 196: 483-493

See Also

MCA eigenmap


codep documentation built on May 2, 2019, 3:45 p.m.