In my example function I did not evaluate the formula either, just a part
of it.
If you leave off the envir and enclos arguments to eval in your
function you can get surprising (wrong) results. E.g.,
[[1]]
[1] 10 9 8 7 6 5 4 3 2 1
[[2]]
[1] "y" "varnames"
If you want to use the variables in data or environment(formula) and
some functions defined in your function, then you could make a child
environment of environment(formula), put your locally defined
functions in it, and use the child environment in the call to eval.
E.g., you code would become
afun2 <- function(formula, ...){
varnames <- all.vars(formula)
fenv <- environment(formula)
n <- length(eval(as.name(varnames[1]), envir=fenv))
childEnv <- new.env(parent=fenv)
childEnv$fun <- function(x) x/n
myterms <- terms(formula)
eval(attr(myterms, 'variables'), envir=childEnv)
}
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Fri, Oct 17, 2014 at 1:50 PM, Joris Meys <jorismeys at gmail.com> wrote:
Thank you both, great ideas. William, I see the point of using eval, but
the problem is that I can't evaluate the formula itself yet. I need to
the length of these variables to create a function that is used to
So if I try to evaluate the formula in some way before I created the
function, it will just return an error.
Now I use the attribute variables of the formula terms to get the
that -after some more manipulation- eventually will be the model matrix.
Something like this :
afun <- function(formula, ...){
varnames <- all.vars(formula)
fenv <- environment(formula)
txt <- paste('length(',varnames[1],')')
n <- eval(parse(text=txt), envir=fenv)
fun <- function(x) x/n
myterms <- terms(formula)
eval(attr(myterms, 'variables'))
}
And that should give:
x <- 1:10
y <- 10:1
z <- 11:20
afun(z ~ fun(x) + y)
[[1]]
[1] 11 12 13 14 15 16 17 18 19 20
[[2]]
[1] 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
[[3]]
[1] 10 9 8 7 6 5 4 3 2 1
It might be I'm walking to Paris over Singapore, but I couldn't find a
better way to do it.
Cheers
Joris
On Fri, Oct 17, 2014 at 10:16 PM, William Dunlap <wdunlap at tibco.com>
I got the default value for getRHSLength's data argument wrong - it
should be NULL, not parent.env().
getRHSLength <- function (formula, data = NULL)
{
rhsExpr <- formula[[length(formula)]]
rhsValue <- eval(rhsExpr, envir = data, enclos =
environment(formula))
length(rhsValue)
}
so that the function firstHalf is found in the following
getRHSLength((function(){firstHalf<-function(x)x[seq_len(floor(length(x)/2))];
~firstHalf(X)})())
[1] 5
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Fri, Oct 17, 2014 at 11:57 AM, William Dunlap <wdunlap at tibco.com>
wrote:
I would use eval(), but I think that most formula-using functions do
it more like the following.
getRHSLength <-
function (formula, data = parent.frame())
{
rhsExpr <- formula[[length(formula)]]
rhsValue <- eval(rhsExpr, envir = data, enclos =
environment(formula))
length(rhsValue)
}
* use eval() instead of get() so you will find variables are in
ancestral environments
of envir (if envir is an environment), not just envir itself.
* just evaluate the stuff in the formula using the non-standard
evaluation frame,
call length() in the current frame. Otherwise, if envir inherits
directly from emptyenv() the 'length' function will not be found.
* use envir=data so it looks first in the data argument for variables
* the enclos argument is used if envir is not an environment and is
to
find variables that are not in envir.
Here are some examples:
> X <- 1:10
> getRHSLength(~X)
> getRHSLength(~X, data=data.frame(X=1:2))
> getRHSLength((function(){X <- 1:4; ~X})(), data=data.frame())
> getRHSLength((function(){X <- 1:4; ~X})(), data=data.frame(X=1:2))
> getRHSLength((function(){X <- 1:4; ~X})(),
data=list2env(data.frame()))
[1] 10
> getRHSLength((function(){X <- 1:4; ~X})(), data=emptyenv())
Error in eval(expr, envir, enclos) : object 'X' not found
I think you will see the same lookups if you try analogous things with
lm().
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Fri, Oct 17, 2014 at 11:04 AM, Joris Meys <jorismeys at gmail.com>
wrote:
Dear R gurus,
I need to know the length of a variable (let's call that X) that is
mentioned in a formula. So obviously I look for the environment from
which
the formula is called and then I have two options:
- using eval(parse(text='length(X)'),
envir=environment(formula) )
- using length(get('X'),
envir=environment(formula) )
a bit of benchmarking showed that the first option is about 20 times
slower, to that extent that if I repeat it 10,000 times I save more
than
half a second. So speed is not really an issue here.
Personally I'd go for option 2 as that one is easier to read and does
the
job nicely, but with these functions I'm always a bit afraid that I'm
overseeing important details or side effects here (possibly memory
issues
when working with larger data).
Anybody an idea what the dangers are of these methods, and which one
the
most robust method?
Thank you
Joris
--
Joris Meys
Statistical consultant
Ghent University
Faculty of Bioscience Engineering
Department of Mathematical Modelling, Statistics and Bio-Informatics
tel : +32 9 264 59 87
Joris.Meys at Ugent.be
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