mcChi: Standardised chi-square residuals

In cocorresp: Co-Correspondence Analysis Methods

Standardised chi-square residuals

Description

Scales a matrix, Y, to its standardised chi-square residuals (o - e) / \sqrt{e} (if R_0 = R, where R contains the row sums of matrix Y) so that further analysis can be unweighted

Usage

mcChi(Y, R0, eps = 1e-06)

Arguments

Y	a matrix for which standardised chi-square residuals are to be calculated.
R0	row weights.
eps	tolerance - leave as default.

Details

This function implements equation 8 of ter Braak and Schaffers (2004) by firstly applying equation 7 to form matrix Q using row and column sums of Y as weights, and, secondly, by applying equation 8 to form a matrix of standardised chi-square residuals from Q by pre-multiplication of Q by \sqrt{R_0} and post-multiplication of Q by \sqrt{K}, where K is the column sums of Y.

Value

A list with the following components:

Ychi	the matrix of standardised chi-squared residuals of Y
Kn	the column sums (K) of Y divided by sum(K)

Note

This function is not intended for casual use by users.

Author(s)

Gavin L. Simpson, based on Matlab code by C.J.F. ter Braak and A.P. Schaffers.

References

Ter Braak, C.J.F and Schaffers, A.P. (2004) Co-Correspondence Analysis: a new ordination method to relate two community compositions. Ecology 85(3), 834–846

cocorresp documentation built on Oct. 7, 2024, 1:08 a.m.