If its good enough to have one level of substitution then esub in my
post (originally due to Tony Plate -- see reference in my post) is all
that is needed:
esub(mat[[2]], list(g1 = g1[[1]]))
but I think the real problem could require multiple levels of
substitution in which case repeated application of esub is needed as
you walk the expression tree which is what proc() in my post does.
For example, suppose mat[[2]] is a function of g1 which is a function
of Tm which is a function of z. Then continuing the example in the
original post this does the repeated substitution needed (which would
be followed by an eval, not shown here, as in my original post):
Tm <- expression(z^2)
sapply(mat, proc)
[[1]]
[1] 0
[[2]]
f1 * s1 * (1/z^2)
To answer your question, quote() produces a call object but expression
produces a call wrapped in an expression which is why there is special
handling of expression objects in the proc() function in my post.
On Fri, Jan 29, 2010 at 4:38 PM, Bert Gunter <gunter.berton at gene.com>
wrote:
Folks:
Stripped to its essentials, Jennifer's request seemed simple: substitute
a
subexpression as a named variable for a variable name in an expression,
also
expressed as a named variable. A simple example is:
e <- expression(0,a*b)
z1 <- quote(1/t) ## explained below
The task is to "substitute" the expression in z1, "1/t", for "b" in e,
yielding the substituted expression as the result.
Gabor provided a solution, but it seemed to me like trying to swat a fly
with a baseball bat -- a lot of machinery for what should be a more
straightforward task. Of course, just because I think it **should be**
straightforward does not mean it actually is. But I fooled around a bit
(guided by Gabor's approach and an old Programmer's Niche column of Bill
Venables) and came up with:
f <- lapply(e,function(x){do.call(substitute,list(x,list(b=z1)))})
f
[[1]]
[1] 0
[[2]]
a * (1/t)
## f is a list. Turn it back into an expression
f <- as.expression(f)
## check that this works as intended
f
[1] 0.6666667
Now you'll note that to do this I explicitly used quote() to produce the
variable holding the subexpression to be substituted. You may ask, why
not
use expression() instead, as in
f <- lapply(e,function(x){do.call(substitute,list(x,list(b=z2)))})
f
[[1]]
[1] 0
[[2]]
a * expression(1/t)
expression(0, a * expression(1/t)) #### Not what we want!
## And sure enough ...
Error in a * expression(1/t) : non-numeric argument to binary operator
I think I understand why the z <- expression() approach does not work;
but I
do not understand why the z <- quote() approach does! The mode of the
return
from both of these is "call", but they are different (because
identical()
tells me so). Could someone perhaps elaborate on this a bit more? And is
there a yet simpler and more straightforward way to do the above than
what I
proposed?
Cheers,
Bert Gunter
Genentech Nonclinical Statistics
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On
Behalf Of Gabor Grothendieck
Sent: Friday, January 29, 2010 11:01 AM
To: Jennifer Young
Cc: r-help at r-project.org
Subject: Re: [R] evaluating expressions with sub expressions
The following recursively walks the expression tree. ?The esub
function is from this page (you may wish to read that entire thread):
http://tolstoy.newcastle.edu.au/R/help/04/03/1245.html
esub <- function(expr, sublist) do.call("substitute", list(expr,
sublist))
proc <- function(e, env = parent.frame()) {
? for(nm in all.vars(e)) {
? ? ?if (exists(nm, env) && is.language(g <- get(nm, env))) {
? ? ? ? if (is.expression(g)) g <- g[[1]]
? ? ? ? ? ?g <- Recall(g, env)
? ? ? ? ? ?L <- list(g)
? ? ? ? ? ?names(L) <- nm
? ? ? ? ? ? e <- esub(e, L)
? ? ? ? ?}
? ? ? ?}
? ? e
}
mat <- expression(0, f1*s1*g1)
g1 <- expression(1/Tm)
vals <- data.frame(f1=1, s1=.5, Tm=2)
e <- sapply(mat, proc)
sapply(e, eval, vals)
The last line should give:
[1] 0.00 0.25
On Fri, Jan 29, 2010 at 11:51 AM, Jennifer Young
<Jennifer.Young at math.mcmaster.ca> wrote:
Hallo
I'm having trouble figuring out how to evaluate an expression when one
of
the variables in the expression is defined separately as a sub
expression.
Here's a simplified example
mat <- expression(0, f1*s1*g1) ?# vector of formulae
g1 <- expression(1/Tm) ? ? ? ? ?# expansion of the definition of g1
vals <- data.frame(f1=1, s1=.5, Tm=2) # one set of possible values for
variables
before adding this sub expression I was using the following to evaluate
sapply(mat, eval, vals)
Obviously I could manually substitute in 1/Tm for each g1 in the
definition of "mat", but the actual expression vector is much longer,
and
the sub expression more complicated. Also, the subexpression is often
adjusted for different scenarios. ?Is there a simple way of changing
this
or redefining "mat" so that I can define "g1" like a macro to be used
in
the expression vector.
Thanks!
Jennifer