[R] boot.stepAIC fails with computed formula

[Bert Gunter]

Thanks.

I suspect that would help to track down the problem in the underlying
code, but I am not sufficiently motivated to do so. Perhaps the
maintainer will if he sees this thread.

Cheers,
Bert


Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Wed, Aug 23, 2017 at 4:07 PM, Heinz Tuechler <tuechler at gmx.at> wrote:
> It seems that if you build the formula as a character string, and postpone
> the "as.formula" into the lm call, it works.
>
> instead of
> frm1 <- as.formula(paste(trg,"~1"))
> use
> frm1a <- paste(trg,"~1")
> and then
> strt <- lm(as.formula(frm1a),dat)
>
> regards,
>
> Heinz
>
> Stephen O'hagan wrote/hat geschrieben on/am 23.08.2017 12:07:
>>
>> Until I get a fix that works, a work-around would be to rename the 'y1'
>> column, used a fixed formula, and rename it back afterwards.
>>
>> Thanks for your help.
>> SGO.
>>
>> -----Original Message-----
>> From: Bert Gunter [mailto:bgunter.4567 at gmail.com]
>> Sent: 22 August 2017 20:38
>> To: Stephen O'hagan <SOhagan at manchester.ac.uk>
>> Cc: r-help at r-project.org
>> Subject: Re: [R] boot.stepAIC fails with computed formula
>>
>> OK, here's the problem. Continuing with your example:
>>
>> strt1 <- lm(y1 ~1, dat)
>> strt2 <- lm(frm1,dat)
>>
>>
>>> strt1
>>
>>
>> Call:
>> lm(formula = y1 ~ 1, data = dat)
>>
>> Coefficients:
>> (Intercept)
>>       41.73
>>
>>> strt2
>>
>>
>> Call:
>> lm(formula = frm1, data = dat)
>>
>> Coefficients:
>> (Intercept)
>>       41.73
>>
>>
>> Note that the formula objects of the lm object are different: strt2 does
>> not evaluate the formula. So presumably boot.step.AIC does no evaluation and
>> therefore gets confused with the errors you saw. So you need to get the
>> evaluated formula into the lm object. This can be done, e.g. via:
>>
>>> strt2 <- eval(substitute(lm(form,data = dat), list(form = frm1)))
>>
>>
>> ## yielding
>>
>>> strt2
>>
>>
>> Call:
>> lm(formula = y1 ~ 1, data = dat)
>>
>> Coefficients:
>> (Intercept)
>>       41.73
>>
>> So this looks like it should fix the problem, but alas no, the
>> boot.stepAIC call still fails with the same error message. Here's why:
>>
>>> identical(strt$call, strt2$call)
>>
>> [1] FALSE
>>
>> So one might rightfully ask, what the heck is going on here?! Further
>> digging:
>>
>>> str(strt$call)
>>
>>  language lm(formula = y1 ~ 1, data = dat)
>>
>>> str(strt2$call)
>>
>>  language lm(formula = y1 ~ 1, data = dat)
>>
>> These certainly look identical! -- but of course they're not:
>>
>>> names(strt$call)
>>
>> [1] ""        "formula" "data"
>>>
>>> names(strt2$call)
>>
>> [1] ""        "formula" "data"
>>
>> So the difference must lie in the formula component, right? ...
>>
>>> strt$call$formula
>>
>> y1 ~ 1
>>>
>>> strt2$call$formula
>>
>> y1 ~ 1
>>
>> So, thus far, huhh? But..
>>
>>> class(strt2$call$formula)
>>
>> [1] "formula"
>>
>>> class(strt$call$formula)
>>
>> [1] "call"
>>
>> So I think therein lies the critical difference that is screwing things
>> up. NOTE: If I am wrong about this someone **PLEASE** correct me.
>>
>> I see no clear workaround for this other than to explicitly avoid
>> passing a formula in the lm() call with y~1 or y ~ .   I think the
>> real fix is to make the  boot.stepAIC function smarter in how it handles
>> its formula argument, and that is above my paygrade (and degree of interest)
>> . You should probably email the maintainer, who may not monitor this list.
>> But give it a day or so to give someone else a chance to correct me if I'm
>> wrong.
>>
>>
>> HTH.
>>
>> Cheers,
>>
>> Bert
>> Bert Gunter
>>
>> "The trouble with having an open mind is that people keep coming along and
>> sticking things into it."
>> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>>
>>
>> On Tue, Aug 22, 2017 at 8:17 AM, Stephen O'hagan
>> <SOhagan at manchester.ac.uk> wrote:
>>>
>>> I'm trying to use boot.stepAIC for feature selection; I need to be able
>>> to specify the name of the dependent variable programmatically, but this
>>> appear to fail:
>>>
>>> In R-Studio with MS R Open 3.4:
>>>
>>> library(bootStepAIC)
>>>
>>> #Fake data
>>> n<-200
>>>
>>> x1 <- runif(n, -3, 3)
>>> x2 <- runif(n, -3, 3)
>>> x3 <- runif(n, -3, 3)
>>> x4 <- runif(n, -3, 3)
>>> x5 <- runif(n, -3, 3)
>>> x6 <- runif(n, -3, 3)
>>> x7 <- runif(n, -3, 3)
>>> x8 <- runif(n, -3, 3)
>>> y1 <- 42+x3 + 2*x6 + 3*x8 + runif(n, -0.5, 0.5)
>>>
>>> dat <- data.frame(x1,x2,x3,x4,x5,x6,x7,x8,y1)
>>> #the real data won't have these names...
>>>
>>> cn <- names(dat)
>>> trg <- "y1"
>>> xvars <- cn[cn!=trg]
>>>
>>> frm1<-as.formula(paste(trg,"~1"))
>>> frm2<-as.formula(paste(trg,"~ 1 + ",paste(xvars,collapse = "+")))
>>>
>>> strt=lm(y1~1,dat) # boot.stepAIC Works fine
>>>
>>> #strt=do.call("lm",list(frm1,data=dat)) ## boot.stepAIC FAILS ##
>>>
>>> #strt=lm(frm1,dat) ## boot.stepAIC FAILS ##
>>>
>>> limit<-5
>>>
>>>
>>> stp=stepAIC(strt,direction='forward',steps=limit,
>>>             scope=list(lower=frm1,upper=frm2))
>>>
>>> bst <-
>>> boot.stepAIC(strt,dat,B=50,alpha=0.05,direction='forward',steps=limit,
>>>                     scope=list(lower=frm1,upper=frm2))
>>>
>>> b1 <- bst$Covariates
>>> ball <- data.frame(b1)
>>> names(ball)=unlist(trg)
>>>
>>> Any ideas?
>>>
>>> Cheers,
>>> SOH
>>>
>>>
>>>         [[alternative HTML version deleted]]
>>>
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>>
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.