You can look at the code yourself. The d8 filter appears to have a deletion mutation making it "different" than the other d-series and the fix looks feasible for testing:

d6.filter <- function(mod = F) {
            class <- "Daubechies"
            name <- "d6"
            L <- as.integer(6)
g <- c(0.332670552950083, 0.806891509311093, 0.459877502118491, -0.135011020010255, -0.0854412738820267, 0.0352262918857096)
            if (modwt == TRUE) {
                g <- g/sqrt(2)
                transform <- "modwt"
            }
            else transform <- "dwt"
            h <- wt.filter.qmf(g, inverse = TRUE)
            wt.filter <- new("wt.filter", L = L, h = h, g = g,
wt.class = class, wt.name = name, transform = transform)
            return(wt.filter)
        }
        d8.filter <- function(mod = F) {
            class <- "Daubechies"
            name <- "d8"
            L <- as.integer(8)
g <- c(0.230377813307443, 0.714846570548406, 0.630880767935879, -0.0279837694166834, -0.187034811717913, 0.0308413818353661,
                0.0328830116666778, -0.0105974017850021)

< missing code>

            h <- wt.filter.qmf(g, inverse = TRUE)
            wt.filter <- new("wt.filter", L = L, h = h, g = g,
wt.class = class, wt.name = name, transform = transform)
            return(wt.filter)
        }
        d10.filter <- function(mod = F) {
            class <- "Daubechies"
            name <- "d10"
            L <- as.integer(10)
g <- c(0.160102397974193, 0.60382926979719, 0.724308528437773, 0.138428145901320, -0.242294887066382, -0.0322448695846381, 0.0775714938400459, -0.0062414902127983, -0.012580751999082,
                0.0033357252854738)
            if (modwt == TRUE) {
                g <- g/sqrt(2)
                transform <- "modwt"
            }
            else transform <- "dwt"
            h <- wt.filter.qmf(g, inverse = TRUE)
            wt.filter <- new("wt.filter", L = L, h = h, g = g,
wt.class = class, wt.name = name, transform = transform)
            return(wt.filter)
        }

Make your own wt.filter with the missing code inserted and see if happiness prevails.When I apply the fix, I get:

> wt.filter("d8")
An object of class “wt.filter”
Slot "L":
[1] 8

Slot "level":
[1] 1

Slot "h":
[1] -0.01059740 -0.03288301 0.03084138 0.18703481 -0.02798377 -0.63088077 0.71484657 -0.23037781

Slot "g":
[1] 0.23037781 0.71484657 0.63088077 -0.02798377 -0.18703481 0.03084138 0.03288301 -0.01059740

Slot "wt.class":
[1] "Daubechies"

Slot "wt.name":
[1] "d8"

Slot "transform":
[1] "dwt"


By the way, there also appears to be no d2 and calling wt.filter with "d2" also provokes an error. The proper manner for getting this addressed is to draw it to the attention of the package maintainer rather than posting a "to whom it may concern" message to the list.

--
David Winsemius

On Mar 4, 2009, at 12:36 AM, <mau...@alice.it> <mau...@alice.it> wrote:

wt.filter("d8")                                #### HOW COME ????
Error in validObject(.Object) :
invalid class "wt.filter" object: invalid object for slot "transform" in class "wt.filter": got class "function", should be or extend class "character"

wt.filter("d10")                             # OK
An object of class “wt.filter”
Slot "L":
[1] 10

wt.filter("d6")                               #OK
An object of class “wt.filter”
Slot "L":
[1] 6


Thank you in advance to anyone who takes care of reported bugs in CRAN packages.
Maura


tutti i telefonini TIM!


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