On 08/10/2014 5:53 AM, H. Dieter Wilhelm wrote:
Duncan Murdoch <murdoch.dun...@gmail.com> writes:
> On 07/10/2014 2:45 AM, H. Dieter Wilhelm wrote:
>> Hello (),
>>
>> I'd like to do the following
>>
>> a <- 3
>> f1 <- function (x){
>> a*x^2
>> }
>>
>> a <- 5
>> f2 <- function (x){
>> a*x^2
>> }
>>
>> plotting f1, f2, ...
>>
>> but f1 and f2 are the same, how can I evaluated the variables in the
>> function definition?
>>
>> Thank you
>> Dieter
> See the "open.account" example in section 10.7, "Scope", of the
> Introduction to R manual.
Sorry but above section teaches my how to change global variables in
functions.
That's only part of what it tells you. The open.account example binds
values into the environment of the function. That's what you want to
do: when you create f1, you want the values of a,b,c, etc. bound into
its environment. Then when you create f2, you want new values bound
there. So do it something like this:
makefun <- function(a,b,c,d) {
force(a); force(b); force(c); force(d) # evaluate them now!
function(x) a*x+b*exp(x)+c/x+...
}
a <- complicated_a_computation(args1)
b <- complicated_b_computation(args1)
c <- ...
d
...
f1 <- makefun(a,b,c,d)
a <- complicated_a_computation(args2)
b <- complicated_b_computation(args2)
c <- ...
d
...
f2 <- makefun(a,b,c,d)
Duncan Murdoch
But I would like to overcome the "lazy evaluation" of global
variables in functions. Because I can't put expensive computations into
each function.
a <- complicated_a_computation(args1)
b <- complicated_b_computation(args1)
c <- ...
d
...
f1 <- function(x) a*x+b*exp(x)+c/x+...
a <- complicated_a_computation(args2)
b <- complicated_b_computation(args2)
c <- ...
d
...
f2 <- function(x) a*x+b*exp(x)+c/x +...
Yes in principle I could rename the global variables to a1, a2, b1, b2,
... But I'd like to learn the principles of R. Is above somehow
possible with the use of the substitute() command?
Thanks
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