I am trying to use the GAMens package for a ‘one dimensional dataset’ (one

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Asked: May 31, 20262026-05-31T09:20:48+00:00 2026-05-31T09:20:48+00:00

I am trying to use the GAMens package for a ‘one dimensional dataset’ (one

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I am trying to use the GAMens package for a ‘one dimensional dataset’ (one predictor and one response) for a very simple artificial dataset:

library(GAMens)
trainingdata <- read.table("D:/data.txt", header = TRUE, sep="\t")
trainingdata.GAMrsm <- GAMens(class~., trainingdata, 1,  autoform=TRUE, iter=10, rsm=FALSE)

Unfortunately I get:

Error in [.data.frame(data, , as.character(formula[[2]])) :
undefined columns selected

Maybe I am missing something but is it should be possible to get this to work for the one dimensional case (‘dimensions’ greater one work fine). Thanks.

EDIT:

This is how the artificial data is generated:

n.site <- 150

    X1<- sort(runif(n = n.site, min = -1, max =1))

    xb <- 0.0 + 3.0*X1 

    occ.prob <- 1/(1+exp(-xb))

    true.presence <- rbinom(n = n.site, size = 1, prob = occ.prob)

    data <- data.frame(X1, true.presence)

    write.matrix(data, file = "data.txt", sep = "\t")

Alternatively you can download the data here:

Data