[Rd] wrong environment in anova call inside function (PR#7937)

[ripley@stats.ox.ac.uk]

anova() is a generic function in R, and not implicated here: do read the 
error message which pinpoints anova.lme, part of package nlme.

The FAQ asks only package maintainers to use R-bugs for contributed 
packages such as nlme.  Please do read it.

On Tue, 14 Jun 2005 mulakken1 at llnl.gov wrote:

> Hi,
>
> I am working with R version 2.1.0, and I seem to have run into a bug. I get
> the same bug when I run R on Windows as well as when I run it on Linux.
>
> When I call anova to do a LR test from inside a function, I get an error.
> The same call works outside of a function. I have provided the code below.
>
> Thanks,
> Nisha Mulakken
>
> ############################
>
> myFunction <- function(myDataFrame) {
>
>  # Less restricted
>  fit1 <- gls(y ~ dose,
>              weights=varIdent(form=~1|dose),
>              data=myDataFrame)
>
>  # more restricted
>  fit2 <- gls(y ~ dose,
>              data=myDataFrame)
>
>  anova.results <- anova(fit1, fit2)
>  anova.results
> }
>
> df <- data.frame( y=c(12,3,45,1,53,6),
>                   dose=c(0,10,200,0,10,200),
>                   time=c("4.00 hrs", "4.00 hrs", "6.00 hrs", "6.00 hrs",
> "8.00 hrs", "8.00 hrs"),
>                   time.hours=c(4, 4, 6, 6, 8, 8),
>                   rep=rep("a", 6)
>                 )
>
> ## This leads to the following error:
> ##     Error in anova.lme(object = fit1, fit2) : Object "fit2" not found
> results <- myFunction(myDataFrame=df)
>
> #####################################################
> ## The same thing outside of a function
>
> # Less restricted
> fit3 <- gls(y ~ dose,
>              weights=varIdent(form=~1|dose),
>              data=df)
>
> # more restricted
> fit4 <- gls(y ~ dose,
>             data=df)
>
> ## This works:
> anova(fit3, fit4)
>
> ## The results:
> ## > anova(fit3, fit4)
> ##     Model df      AIC      BIC    logLik   Test L.Ratio p-value
> ## fit3     1  5 57.98998 54.92145 -23.99499
> ## fit4     2  3 55.75284 53.91172 -24.87642 1 vs 2 1.76286  0.4142

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
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