如何在dplyr::do
内部实现函数的方法分派?
我已经阅读了GitHub问题#719,#3558和#3429,其中包含有关如何为dplyr
动词创建方法的有用信息,但没有什么特别适用于dplyr::do
的内容-这是“特殊的” ”,从某种意义上说,调度不仅需要针对dplyr:do
本身进行,而且还需要针对dplyr::do
内部调用的函数进行(至少我要这样做)
这是我尝试过的:
初赛
library(dplyr)
#>
#> Attache Paket: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
# Example data ------------------------------------------------------------
df <- tibble::tibble(
id = c(rep("A", 5), rep("B", 5)),
x = 1:10
)
df_custom <- df
class(df_custom) <- c("tbl_df_custom", class(df_custom))
# Reclass function --------------------------------------------------------
reclass <- function(x, result) {
UseMethod('reclass')
}
reclass.default <- function(x, result) {
class(result) <- unique(c(class(x)[[1]], class(result)))
attr(result, class(x)[[1]]) <- attr(x, class(x)[[1]])
result
}
步骤1:尝试为dplyr动词定义方法
# Custom method for summarize ---------------------------------------------
summarise.tbl_df_custom <- function (.data, ...) {
message("Custom method for `summarise`")
result <- NextMethod("summarise")
ret <- reclass(.data, result)
print(class(ret))
ret
}
ret <- df_custom %>%
summarise(y = mean(x))
#> Custom method for `summarise`
#> [1] "tbl_df_custom" "tbl_df" "tbl" "data.frame"
ret %>% class()
#> [1] "tbl_df_custom" "tbl_df" "tbl" "data.frame"
步骤2:尝试为另一个dplyr动词定义方法以测试更长的管道
# Custom method for group_by ----------------------------------------------
group_by.tbl_df_custom <- function (.data, ..., add = FALSE) {
message("Custom method for `group_by`")
result <- NextMethod("group_by")
ret <- reclass(.data, result)
print(class(ret))
ret
}
ret <- df_custom %>%
group_by(id) %>%
summarise(y = mean(x))
#> Custom method for `group_by`
#> [1] "tbl_df_custom" "grouped_df" "tbl_df" "tbl"
#> [5] "data.frame"
#> Custom method for `summarise`
#> [1] "tbl_df_custom" "tbl_df" "tbl" "data.frame"
ret %>% class()
#> [1] "tbl_df_custom" "tbl_df" "tbl" "data.frame"
步骤3:对
do
尝试相同的操作# Custom method for do ----------------------------------------------------
do.tbl_df_custom <- function (.data, ...) {
message("custom method for `do`")
result <- NextMethod("do")
ret <- reclass(.data, result)
print(class(ret))
ret
}
foo <- function(df) {
UseMethod("foo")
}
foo.default <- function(df) {
message("Default method for `foo`")
df %>%
summarise(y = mean(x))
}
foo.tbl_df_custom <- function(df) {
message("Custom method for `foo`")
df %>%
summarise(y = mean(x) * 100)
}
ret <- df_custom %>%
group_by(id) %>%
do(foo(.))
#> Custom method for `group_by`
#> [1] "tbl_df_custom" "grouped_df" "tbl_df" "tbl"
#> [5] "data.frame"
#> custom method for `do`
#> Default method for `foo`
#> Default method for `foo`
#> [1] "tbl_df_custom" "grouped_df" "tbl_df" "tbl"
#> [5] "data.frame"
ret
#> # A tibble: 2 x 2
#> # Groups: id [2]
#> id y
#> <chr> <dbl>
#> 1 A 3
#> 2 B 8
ret %>% class()
#> [1] "tbl_df_custom" "grouped_df" "tbl_df" "tbl"
#> [5] "data.frame"
乍一看似乎可以,但问题是调用了默认方法而不是
foo
的自定义方法。由reprex package(v0.2.1)于2019-01-08创建
最佳答案
因此,问题与this question I just asked有关。我能够通过定义3个新功能来解决它:ungroup.tbl_df_custom
,类构造函数和[.tbl_df_custom
。
ungroup.tbl_df_custom <- function (.data, ...) {
message("custom method for `ungroup`")
result <- NextMethod("ungroup")
ret <- reclass(.data, result)
ret
}
new_custom <- function(x, ...) {
structure(x, class = c("tbl_df_custom", class(x)))
}
`[.tbl_df_custom` <- function(x, ...) {
new_custom(NextMethod())
}
df_custom2 <- new_custom(df)
df_custom2 %>%
group_by(id) %>%
do(foo(.))
Custom method for `group_by`
[1] "tbl_df_custom" "grouped_df" "tbl_df" "tbl" "data.frame"
custom method for `do`
custom method for `ungroup`
Custom method for `foo`
Custom method for `summarise`
[1] "tbl_df_custom" "tbl_df" "tbl" "data.frame"
Custom method for `foo`
Custom method for `summarise`
[1] "tbl_df_custom" "tbl_df" "tbl" "data.frame"
[1] "tbl_df_custom" "grouped_df" "tbl_df" "tbl" "data.frame"
custom method for `ungroup`
# A tibble: 2 x 2
# Groups: id [2]
id y
<chr> <dbl>
1 A 300
2 B 800
关于r - dplyr::do内部函数的方法分派(dispatch),我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/54083208/