假设我有一个类似向量的S4类:
.MyClass <- setClass("MyClass", representation(a="numeric", b="character"))
setMethod("[", c("MyClass", "numeric", "missing"), function(x, i, j, ...) {
do.call(initialize, c(x, sapply(slotNames(x), function(y) slot(x, y)[i],
simplify=FALSE)))
})
setMethod("length", "MyClass", function(x) length(x@a))并且说我也为as.list和as.list.default定义了方法
setGeneric("as.list")
setMethod("as.list", "MyClass",
function(x) lapply(seq_along(x), function(i) x[i]))
setGeneric("as.list.default")
setMethod("as.list.default", "MyClass",
function(x) lapply(seq_along(x), function(i) x[i]))现在给出这个类的一个对象,myobj
myobj <- .MyClass(a=1:4, b=letters[1:4])当我使用lapply时,它会抱怨:
> lapply(myobj, function(i) rep(i@b, i@a))
Error in as.list.default(X) :
no method for coercing this S4 class to a vector但是,如果我使用as.list.default,则该函数提供所需的输出:
> lapply(as.list.default(myobj), function(i) rep(i@b, i@a))
[[1]]
[1] "a"
[[2]]
[1] "b" "b"
...为什么lapply不工作,即使我已经为类定义了一个as.list.default的方法?
显然,我可以手动为类定义一个lapply方法,它可以很好地工作(下面),但是我想知道错误实际上是在哪里发生的。为什么lapply试图将我的对象强制为向量,即使它正在调用的函数应该将对象转换为列表?
setGeneric("lapply")
setMethod("lapply", c("MyClass", "function"), function(X, FUN, ...) {
lapply(as.list(X), FUN, ...)
})
lapply(myobj, function(i) rep(i@b, i@a))发布于 2014-09-27 23:28:47
从?Methods帮助页面上看,一个可行的策略似乎是
#same
.MyClass <- setClass("MyClass", representation(a="numeric", b="character"))
setMethod("[", c("MyClass", "numeric", "missing"), function(x, i, j, ...) {
do.call(initialize, c(x, sapply(slotNames(x), function(y) slot(x, y)[i],
simplify=FALSE)))
})
setMethod("length", "MyClass", function(x) length(x@a))
#different
as.list.MyClass <-function(x) {
lapply(seq_along(x), function(i) x[i])
}
setMethod("as.list", "MyClass", as.list.MyClass)
#test
myobj <- .MyClass(a=1:4, b=letters[1:4])
lapply(myobj, function(i) rep(i@b, i@a))
# [[1]]
# [1] "a"
#
# [[2]]
# [1] "b" "b"
#
# [[3]]
# [1] "c" "c" "c"
#
# [[4]]
# [1] "d" "d" "d" "d"https://stackoverflow.com/questions/26079819
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