使用RStudio中的列表自动完成代码 [英] Code autocompletion with lists in RStudio

问题描述

给出以下列表，我需要在更干净的代码还是自动完成之间进行选择，还是可以同时选择两者?我正在MacOS 10.10.5上使用RStudio的最新版本.

Given the following list, do I need to choose between cleaner code or autocompletion or can I have both? I'm using the newest version of RStudio on MacOS 10.10.5.

> l <- list()
> l$`__a` <- data.frame(`__ID` = stringi::stri_rand_strings(10, 1), col = stringi::stri_rand_strings(10, 1), check.names = F )
> l$`__b` <- data.frame(`__ID` = stringi::stri_rand_strings(10, 1), col = stringi::stri_rand_strings(10, 1), check.names = F )
> l$`__c` <- data.frame(`__ID` = stringi::stri_rand_strings(10, 1), col = stringi::stri_rand_strings(10, 1), check.names = F )

自动完成，但是带有反引号(不清晰，更难以通过编程操作):

Autocomplete, but with backtick symbols (less clean and more difficult to programmatically manipulate):

> l$`__a`
   __ID col
1     i   u
2     4   V
3     b   Y
4     j   B
5     k   d
6     Z   Q
7     T   H
8     f   A
9     j   Y
10    k   P

使用[运算符和字符串(更干净，更易于通过编程操作，但没有自动完成功能):

With the [ operator and strings (more clean and easier to programmatically manipulate, but without autocomplete):

> l[["__a"]]
   __ID col
1     i   u
2     4   V
3     b   Y
4     j   B
5     k   d
6     Z   Q
7     T   H
8     f   A
9     j   Y
10    k   P

还是第三种可能性，例如首先用反引号将所有代码编写出来，然后找到一种方法自动用[[和]]替换它们?

Or is there a third possibility, for example writing all of the code first with backtick symbols and then finding a way to automatically replace them with [[ and ]]?

推荐答案

幸运的是，可以同时具有自动完成和格式正确的代码.在RStudio中，自动完成功能同时适用于$和[[，但是其功能略有不同.

Fortunately, it's possible to have both autocomplete and nicely formatted code. In RStudio, autocomplete works for both $ and [[ but it functions slightly differently.

对于使用$建立索引，在键入$后立即触发自动完成列表.

For indexing with $, the autocomplete list is triggered immediately after typing $.

但是，对于[[，必须在显示自动完成列表之前按tab.就像$一样，它可以深入到多个级别.

However, for [[, it's necessary to press tab before the autocomplete list is shown. And this works multiple levels deep just as it does with $.

以上来自@docendo discimus的评论有助于找到该答案.

The comment above from @docendo discimus was helpful in finding this answer.

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