R help - Jun 2013 - environment of lm

Hello,
I'm running into what I believe is a scoping issue having to do with the
environment in which the weights argument is evaluated in lm.  From the lm
documentation "All of weights, subset and offset are evaluated in the same
way as variables in formula, that is first in data and then in the
environment of formula.".  In the code at http://pastebin.com/kqzxxicp I
have 3 functions identical to each other except for

WeightsBreaks adds "weights = someData$weight"
and
Works uses the <<- assignment operator for someData.

My interpretation of the quoted documentation above is that lm looks at the
data argument to find weights, subset and offset and then to the
environment in which the formula argument lives.  Am I missing something?
Why is it that lm only sees weights (here someData$weight) when it's in the
global environment, yet lm sees data (someData in this case) regardless of
whether it's in the global environment or just local to the function?
Thanks for your time.

Dave

	[[alternative HTML version deleted]]

Your web site had
  WeightsBreaks <- function(){
    someData <- data.frame(x = rnorm(20, 5, 1),y =  1:20 + runif(20),z = 
70:51, weight = 0.05)
    print( ls())
    ModObject <- lm('x~y + z', data = someData, weights =
someData$weight)
   }
and I got the result
  > print(WeightsBreaks())
  [1] "someData"
  Error in eval(expr, envir, enclos) : object 'someData' not found
When I remove the quotes around the formula string, from
  lm('x~y + z',...)
to
  lm(x~y + z, ...)
then I get
  > print(WeightsBreaks())
  [1] "someData"
  
  Call:
  lm(formula = x ~ y + z, data = someData, weights = someData$weight)
  
  Coefficients:
  (Intercept)            y            z  
      47.7740      -0.5689      -0.6028  

The object 'x ~ y + z' is a character string, not a formula.  It gets
converted into a formula by as.formula by lm() or perhaps by something that lm()
calls.  The 'environment of a formula' is the environment in which the
formula is created (unless you explicitly change it) so this explains why lm()
could not find your stuff.

If you are are constructing your formula string using something like paste(),
convert it yourself to a formula by calling as.formula explicitly from the
environment where the objects it uses are.
 
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com

> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at
r-project.org] On Behalf
> Of Dave Mitchell
> Sent: Sunday, June 23, 2013 9:32 AM
> To: r-help at r-project.org
> Subject: [R] environment of lm
> 
> Hello,
> I'm running into what I believe is a scoping issue having to do with
the
> environment in which the weights argument is evaluated in lm.  From the lm
> documentation "All of weights, subset and offset are evaluated in the
same
> way as variables in formula, that is first in data and then in the
> environment of formula.".  In the code at http://pastebin.com/kqzxxicp
I
> have 3 functions identical to each other except for
> 
> WeightsBreaks adds "weights = someData$weight"
> and
> Works uses the <<- assignment operator for someData.
> 
> My interpretation of the quoted documentation above is that lm looks at the
> data argument to find weights, subset and offset and then to the
> environment in which the formula argument lives.  Am I missing something?
> Why is it that lm only sees weights (here someData$weight) when it's in
the
> global environment, yet lm sees data (someData in this case) regardless of
> whether it's in the global environment or just local to the function?
> Thanks for your time.
> 
> Dave
> 
> 	[[alternative HTML version deleted]]
> 
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