Re: [Rd] How to evaluate an lm() object for generating warning statement in a function

From: Roger D. Peng <rdpeng_at_gmail.com>
Date: Tue 23 Jan 2007 - 13:11:56 GMT

There are two options, you can check to see if 'object.lm' inherits from "lm" using 'inherits()' or make comp.var.estimates a generic and then make a method for "lm" objects.

-roger

Michael Rennie wrote:
> Hi, there
>
> I tried this post on R-help but did not generate any replies, so I thought
> I might try the waters here since it's a more programming-based group.
>
> I have written a function that will allow me to calculate the variance
> components for a model II (random effects) single factor ANOVA (perhaps
> this is
> me re-inventing the wheel, but I handn't yet come across anything in R that
> does this for me, but I'm sure people will let me know from this posting if
> there are). The function takes as it's argument an object which holds the
> results of an lm call. e.g.,
>
> object1<-lm(y~x)
>
> The function is as follows (some comments included):
>
> comp.var.estimates<-function(object.lm)
> {
> anovmod<-anova(object.lm) #get the anova table for the lm
> MStreat<-anovmod[1,3]; MSErr<-anovmod[2,3] #extract Mean
> Squares
> dataframe<- as.data.frame(object.lm[13]) #gets the data
> that went into the lm
> ni <- tapply(dataframe[,1], dataframe[,2], length) #number
> of cases per treatment level
> nisq<-ni^2
> no<-(1/(length(ni)-1))*(sum(ni)-(sum(nisq)/sum(ni)))
> #required to calculate variance components
> s2a<-((MStreat-MSErr)/no)
> stot<-s2a + MSErr
> treatvar<-s2a/stot*100 #calculate variance components as
> a percentage of the total
> errorvar<-MSErr/stot*100
> list(treat.var.comp=s2a,
> err.var.comp=MSErr,
> p.var.treat=treatvar, p.var.err=errorvar)
> }
> comp.var.estimates(object1)
>
> I'd like to include a "warning" statement in the function that
> returns something like 'function requires arguments that are objects of the
> form obj<-lm
> (y~x)', but I need a case to evaluate the object against in order to throw the
> warning.
>
> Any advice?
>
> I feel like my best opportunity is after the first line into the function,
> where I ask for the ANOVA table. Since this is a 2 X 5 table, presumably I
> should be able to evaluate it against the size of that table? Any thoughts on
> how to check that? I welcome any suggestions.
>
> Cheers,
>
> Mike
>
>
>
>
> Michael Rennie
> Ph.D. Candidate, University of Toronto at Mississauga
> 3359 Mississauga Rd. N.
> Mississauga, ON L5L 1C6
> Ph: 905-828-5452 Fax: 905-828-3792
> www.utm.utoronto.ca/~w3rennie
> [[alternative HTML version deleted]]
>
> ______________________________________________
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>

-- 
Roger D. Peng  |  http://www.biostat.jhsph.edu/~rpeng/

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Received on Wed Jan 24 00:14:43 2007

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