[R] significant variables in GPLS ?

From: Lena Lieckfeld <LenaLieckfeld_at_gmx.de>
Date: Wed, 23 Apr 2008 18:23:58 +0200

I am using the gpls package for modelling vegetation classes.

My problem is that I now want to know which input variables are significant for the modelling of the classes to recalculate the equation again with just the selected variables. I think I can analyse the significance of the variables via their weights.

I used the "gpls1a" term for two group classification. Here my code:

library(gpls) #

> spex_Y<-read.csv("F:/GPLS/spex_Y.csv", header=TRUE, sep=";")#, row.names="ID") #

> spex_X<-read.csv("F:/GPLS/spex_X.csv", header=TRUE, sep=";")#, row.names="ID") #


> test <- glpls1a(spex_X, spex_Y$A_mell,K.prov=7, br=FALSE)

> names(test)

[1] "coefficients" "convergence" "niter" "family"

[5] "link" "levs" "bias.reduction"

coefficients = regression coefficients

convergence = whether convergence is achieved

niter total = number of iterations

bias.reduction = whether Firth's procedure is used

link = link function, logit is the only one practically implemented now

But the values (coefficients, convergence, niter, family, link, levs, bias.reduction) I have got from the gpls1a do not contain any information about the significance of my input variables.

Does anybody have an idea how I can get information about the significance of my input values?

This would really help me a lot.


Jetzt dabei sein: http://www.shortview.de/?mc=sv_ext_mf@gmx

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Received on Wed 23 Apr 2008 - 18:12:01 GMT

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