I am trying to use S3 "Math" group generics for a custom class. However I am getting a strange result: log()
works while log2
and log10
produces errors. Below is a minimal example:
# simple class with just the new name
lameclass <- function(x) {
class(x) <- append(class(x), "lame")
x
}
# It prints something when Math generics methods are used
Math.lame <- function(x, ...) {
print("I am lame")
NextMethod()
}
# an object of the class
lamevector <- lameclass(1:10)
> class(lamevector)
[1] "integer" "lame"
Now try to call log
:
log(lamevector)
[1] "I am lame"
[1] 0.0000000 0.6931472 1.0986123 1.3862944 1.6094379 1.7917595 1.9459101 2.0794415 2.1972246 2.3025851
With base 2:
log(lamevector, 2)
[1] "I am lame"
[1] 0.000000 1.000000 1.584963 2.000000 2.321928 2.584963 2.807355 3.000000 3.169925 3.321928
All above worked. But now log2
wrapper:
log2(lamevector)
[1] "I am lame"
[1] "I am lame"
Error in log2.default(1:10, 2) :
2 arguments passed to 'log2' which requires 1
Maybe someone can help me with figuring out what is going on here? Did log2 actually went through the generic Math definition 2 times and failed?
What appears to be happening is that NextMethod
is not stripping the lame
class, so when log2
calls log
, it re-dispatches to the lame
method, which now no longer works, because it's calling log2
with base = 2L
, a parameter log2
doesn't have.
Forcing the dispatch to work correctly doesn't require too much work—just strip and re-add the class. (Aside: Subclasses should be prepended, not appended.)
lameclass <- function(x) {
class(x) <- c("lame", class(x)) # prepend new class
x
}
Math.lame <- function(x, ...) {
print("I am lame")
class(x) <- class(x)[class(x) != "lame"] # strip lame class
lameclass(NextMethod()) # re-add lame class to result
}
lamevector <- lameclass(1:5)
log(lamevector)
#> [1] "I am lame"
#> [1] 0.0000000 0.6931472 1.0986123 1.3862944 1.6094379
#> attr(,"class")
#> [1] "lame" "numeric"
log(lamevector, 2)
#> [1] "I am lame"
#> [1] 0.000000 1.000000 1.584963 2.000000 2.321928
#> attr(,"class")
#> [1] "lame" "numeric"
log2(lamevector)
#> [1] "I am lame"
#> [1] 0.000000 1.000000 1.584963 2.000000 2.321928
#> attr(,"class")
#> [1] "lame" "numeric"
I'm not precisely sure why it's dispatching like that. Group generics are a little weird, and dispatch on oldClass
instead of class
, which may or may not be part of the issue. It may just be a bug. The idiom of stripping and re-adding the class is used in other Math
methods, possibly for this reason:
MASS:::Math.fractions
#> function (x, ...)
#> {
#> x <- unclass(x)
#> fractions(NextMethod())
#> }
#> <bytecode: 0x7ff8782a1558>
#> <environment: namespace:MASS>