This is R revision 40576 compiled with icc/ifort
on OS X 10.4.9 (8P2122). It may be the compiler.
-- J.
> example(deriv)
deriv> ## formula argument :
deriv> dx2x <- deriv(~ x^2, "x") ; dx2x
expression({
.value <- x^2
.grad <- array(0, c(length(.value), 1), list(NULL, c("x")))
.grad[, "x"] <- 0
attr(.value, "gradient") <- .grad
.value
})
deriv> ## Not run:
deriv> ##D expression({
deriv> ##D .value <- x^2
deriv> ##D .grad <- array(0, c(length(.value), 1), list
(NULL, c("x")))
deriv> ##D .grad[, "x"] <- 2 * x
deriv> ##D attr(.value, "gradient") <- .grad
deriv> ##D .value
deriv> ##D })
deriv> ## End(Not run)
deriv> mode(dx2x)
[1] "expression"
deriv> x <- -1:2
deriv> eval(dx2x)
[1] 1 0 1 4
attr(,"gradient")
x
[1,] 0
[2,] 0
[3,] 0
[4,] 0
deriv> ## Something 'tougher':
deriv> trig.exp <- expression(sin(cos(x + y^2)))
deriv> ( D.sc <- D(trig.exp, "x") )
[1] 0
deriv> all.equal(D(trig.exp[[1]], "x"), D.sc)
[1] TRUE
deriv> ( dxy <- deriv(trig.exp, c("x", "y")) )
expression({
.value <- sin(cos(x + y^2))
.grad <- array(0, c(length(.value), 2), list(NULL, c("x",
"y")))
.grad[, "x"] <- 0
.grad[, "y"] <- 0
attr(.value, "gradient") <- .grad
.value
})
deriv> y <- 1
deriv> eval(dxy)
[1] 0.8414710 0.5143953 -0.4042392 -0.8360219
attr(,"gradient")
x y
[1,] 0 0
[2,] 0 0
[3,] 0 0
[4,] 0 0
deriv> eval(D.sc)
[1] 0
deriv> ## function returned:
deriv> deriv((y ~ sin(cos(x) * y)), c("x","y"), func = TRUE)
function (x, y)
{
.value <- sin(cos(x) * y)
.grad <- array(0, c(length(.value), 2), list(NULL, c("x",
"y")))
.grad[, "x"] <- 0
.grad[, "y"] <- 0
attr(.value, "gradient") <- .grad
.value
}
deriv> ## function with defaulted arguments:
deriv> (fx <- deriv(y ~ b0 + b1 * 2^(-x/th), c("b0", "b1", "th"),
deriv+ function(b0, b1, th, x = 1:7){} ) )
function (b0, b1, th, x = 1:7)
{
.value <- b0 + b1 * 2^(-x/th)
.grad <- array(0, c(length(.value), 3), list(NULL, c("b0",
"b1", "th")))
.grad[, "b0"] <- 1
.grad[, "b1"] <- 0
.grad[, "th"] <- 0
attr(.value, "gradient") <- .grad
.value
}
deriv> fx(2,3,4)
[1] 4.522689 4.121320 3.783811 3.500000 3.261345 3.060660 2.891905
attr(,"gradient")
b0 b1 th
[1,] 1 0 0
[2,] 1 0 0
[3,] 1 0 0
[4,] 1 0 0
[5,] 1 0 0
[6,] 1 0 0
[7,] 1 0 0
deriv> ## Higher derivatives
deriv> deriv3(y ~ b0 + b1 * 2^(-x/th), c("b0", "b1", "th"),
deriv+ c("b0", "b1", "th", "x") )
function (b0, b1, th, x)
{
.value <- b0 + b1 * 2^(-x/th)
.grad <- array(0, c(length(.value), 3), list(NULL, c("b0",
"b1", "th")))
.hessian <- array(0, c(length(.value), 3, 3), list(NULL,
c("b0", "b1", "th"), c("b0", "b1", "th")))
.grad[, "b0"] <- 1
.grad[, "b1"] <- 0
.grad[, "th"] <- 0
attr(.value, "gradient") <- .grad
attr(.value, "hessian") <- .hessian
.value
}
deriv> ## Higher derivatives:
deriv> DD <- function(expr,name, order = 1) {
deriv+ if(order < 1) stop("'order' must be >= 1")
deriv+ if(order == 1) D(expr,name)
deriv+ else DD(D(expr, name), name, order - 1)
deriv+ }
deriv> DD(expression(sin(x^2)), "x", 3)
[1] 0
>
On Jan 26, 2007, at 00:54 , Prof Brian Ripley wrote:
> On Thu, 25 Jan 2007, Jan de Leeuw wrote:
>
>> but deriv() and friends do not work in R-devel (at least
>> not on the Mac).
>
> They work for me under Linux and Windows. What does example(deriv)
> give you?
>
>> ==========================================================
>> Jan de Leeuw, 11667 Steinhoff Rd, Frazier Park, CA 93225
>> home 661-245-1725 skype 661-347-0667 global 254-381-4905
>> .mac: jdeleeuw +++ aim: deleeuwjan +++ skype: j_deleeuw
>> ==========================================================
>>
>
> --
> Brian D. Ripley, [EMAIL PROTECTED]
> Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
> University of Oxford, Tel: +44 1865 272861 (self)
> 1 South Parks Road, +44 1865 272866 (PA)
> Oxford OX1 3TG, UK Fax: +44 1865 272595
==========================================================
Jan de Leeuw, 11667 Steinhoff Rd, Frazier Park, CA 93225
home 661-245-1725 skype 661-347-0667 global 254-381-4905
.mac: jdeleeuw +++ aim: deleeuwjan +++ skype: j_deleeuw
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