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使 function 在 R 中的赋值运算符的 LHS 上工作

[英]Make a function work on the LHS of the assignment operator in R

It seems like I should know the answer to this but I don't.似乎我应该知道这个问题的答案,但我不知道。 How can I write a function that will work on the lefthand side of the assignment operator?我如何编写一个可以在赋值运算符左侧工作的 function? Eg, in the example below how can I make a function called my.rownames that I can put on the LHS of <- to assign rownames to foo .例如,在下面的示例中,我如何制作一个名为my.rownamesrownames ,我可以将其放在<-的 LHS 上以将行名分配给foo

# get rownames and change them
foo <- rownames(mtcars)
foo <- paste("x",foo)
# put altered rownames back
rownames(mtcars) <- foo
# create a new function my.rownames
my.rownames <- rownames
# works
my.rownames(mtcars)
# doesn't work
my.rownames(mtcars) <- foo

According to ?rownames根据?rownames

row.names returns a character vector. row.names 返回一个字符向量。

row.names<- returns a data frame with the row names changed. row.names<- 返回行名称更改的数据框。

`my.rownames<-` <- `rownames<-`

Also,还,

There are generic functions for getting and setting row names, with default methods for arrays.有用于获取和设置行名的通用函数,默认方法为 arrays。 The description here is for the data.frame method.这里的描述是针对 data.frame 方法的。

.rowNamesDF<- is a (non-generic replacement) function to set row names for data frames, with extra argument make.names. .rowNamesDF<-是(非通用替换)function 用于设置数据帧的行名称,带有额外的参数 make.names。 This function only exists as workaround as we cannot easily change the row.names<- generic without breaking legacy code in existing packages.此 function 仅作为解决方法存在,因为我们无法轻松更改 row.names<- generic 而不破坏现有包中的旧代码。

it should work它应该工作

data(mtcars)
my.rownames(mtcars) <- foo
head(mtcars)
#                     mpg cyl disp  hp drat    wt  qsec vs am gear carb
#x Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
#x Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
#x Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
#x Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
#x Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
#x Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1

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