如何在R包中重新注册S3方法?

时间:2015-01-22 21:39:24

标签: r namespaces r-s3

我正在为R工作,我无法弄清楚如何替换包内的S3方法。我们以print.aov为例。我想替换它的主体,但在stats命名空间内。如果我只是重命名命名空间中的函数

> 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'))

以前注册的函数将在print发送时调用,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

如何确保在发生S3方法调度时调用新函数?

1 个答案:

答案 0 :(得分:4)

您是否尝试过assignInNamespace()

printAOV <- function(x, ...) print("replaced function!")
assignInNamespace("print.aov", printAOV, ns = asNamespace("stats"))

print(aov(yield ~ block + N * P + K, npk))
# [1] "replaced function!"