我正在为 R 开发一个工具,但我不知道如何替换包内的 S3 方法。让我们举个print.aov例子。我想替换它的主体,但在stats命名空间内。如果我只是重新分配命名空间中的函数
> reassignInEnv <- function(name, obj, env) {
if (exists(name, env)) {
if (bindingIsLocked(name, env)) {
unlockBinding(name, env)
assign(name, obj, envir = env)
lockBinding(name, env)
} else {
assign(name, obj, envir = env)
}
} else {
stop("Object does not exist")
}
}
> reassignInEnv("print.aov", function(x, ...) { print("replaced function!") }, env = getNamespace('stats'))
调度时将调用先前注册的函数print,而不是新的。
> print(aov(yield ~ block + N * P + K, npk))
Call:
aov(formula = yield ~ block + N * P + K, data = npk)
Terms:
block N P K N:P Residuals
Sum of Squares 343.2950 189.2817 8.4017 95.2017 21.2817 218.9033
Deg. of Freedom 5 1 1 1 1 14
Residual standard error: 3.954232
Estimated effects may be unbalanced
我也尝试了R.methodsS3包,但它不起作用,因为它试图在锁定的环境中进行分配。
> unlockBinding("print.aov", getNamespace('stats'))
> setMethodS3(name = "print", definition = function(x, ...) { print("replaced function!") }, class = "aov", private = TRUE, export = FALSE, envir = getNamespace('stats'))
Error in eval(expr, envir, enclos) :
cannot add bindings to a locked environment
如何确保在 S3 方法分派发生时调用新函数?