signpred: Graphical assessment of the stability of selected variables

In plsRglm: Partial Least Squares Regression for Generalized Linear Models

Graphical assessment of the stability of selected variables

Description

This fonctions plots, for each of the model, the

Usage

signpred(
  matbin,
  pred.lablength = max(sapply(rownames(matbin), nchar)),
  labsize = 1,
  plotsize = 12
)

Arguments

matbin	Matrix with 0 or 1 entries. Each row per predictor and a column for every model. 0 means the predictor is not significant in the model and 1 that, on the contrary, it is significant.
pred.lablength	Maximum length of the predictors labels. Defaults to full label length.
labsize	Size of the predictors labels.
plotsize	Global size of the graph.

Details

This function is based on the visweb function from the bipartite package.

Value

A plot window.

Author(s)

Bernd Gruber with minor modifications from Frédéric Bertrand
[e-mail]
https://fbertran.github.io/homepage/

References

Vazquez, P.D., Chacoff, N.,P. and Cagnolo, L. (2009) Evaluating multiple determinants of the structure of plant-animal mutualistic networks. Ecology, 90:2039-2046.

See Also

See Also visweb

Examples

signpred(matrix(rbinom(160,1,.2),ncol=8,dimnames=list(as.character(1:20),as.character(1:8))))

plsRglm documentation built on March 31, 2023, 11:10 p.m.