迭代 R 中交叉表的指定列 [英] Iterate over specified columns for crosstabs in R
问题描述
我希望在同一个数据集中运行几十个交叉表,并使用一组结果变量.我有一个函数可以提供我想要的交叉表:
I am looking to run a couple of dozen crosstabs within the same dataset and with a set outcome variable. I have a function that gives me the crosstabs I want:
second_table = function(dat, variable1, variable2){
dat %>%
tabyl({{variable1}}, {{variable2}}, show_na = FALSE) %>%
adorn_percentages("row") %>%
adorn_pct_formatting(digits = 1) %>%
adorn_ns()
}
以 mtcars 数据集为例,该函数为我提供了我想要的单个变量:
Using the mtcars dataset as an example, the function gives me what I want for a single variable:
cars = datasets::mtcars
second_table(cars, cyl, vs)
不过,我真正想要的是创建许多这样的表,其中 dat = cars 和 variable2 = vs 参数保持不变,但使用几个不同的列作为 variable1 参数.出于本示例的目的,假设它是以下 4 个变量:
What I really want, though, is to create lots of these tables where the dat = cars and variable2 = vs arguments stay the same, but using several different columns as the variable1 argument. For the purposes of this example, say it's the following 4 variables:
variables = c("cyl", "am", "gear", "carb")
我不确定 purrr 包中的 map 函数是否是执行此操作的最佳方法,但我一直未成功尝试使用 map 和 map_at 等相关函数进行各种不同的操作.如果有办法用 purrr 做到这一点,那么这就是我更愿意做的,但我愿意接受任何建议.我真的不在乎输出是什么样子,只是我可以得到我需要的所有交叉表,而无需多次复制和粘贴代码.
I'm not sure if a map function from the purrr package is the best way to do this, but I've been unsuccessfully trying all sorts of different things with map and related functions like map_at. If there is a way to do this with purrr then that's what I'd prefer to do, but I'm open to any suggestions. I don't really care what the output looks like, just that I can get all the crosstabs I need without copying and pasting code lots of times.
非常感谢任何帮助!
推荐答案
由于您的数据集和第二个变量是固定的,您可以像这样简化流程:
Since your dataset and second variable are fixed you can simplify the process like so:
library(tidyverse)
library(janitor)
imap(set_names(c("cyl", "am", "gear", "carb")), ~ mtcars %>%
tabyl(!!rlang::sym(.x), vs, show_na = F) %>%
adorn_percentages("row") %>%
adorn_pct_formatting(digits = 1) %>%
adorn_ns()
)
输出
$cyl
cyl 0 1
4 9.1% (1) 90.9% (10)
6 42.9% (3) 57.1% (4)
8 100.0% (14) 0.0% (0)
$am
am 0 1
0 63.2% (12) 36.8% (7)
1 46.2% (6) 53.8% (7)
$gear
gear 0 1
3 80.0% (12) 20.0% (3)
4 16.7% (2) 83.3% (10)
5 80.0% (4) 20.0% (1)
$carb
carb 0 1
1 0.0% (0) 100.0% (7)
2 50.0% (5) 50.0% (5)
3 100.0% (3) 0.0% (0)
4 80.0% (8) 20.0% (2)
6 100.0% (1) 0.0% (0)
8 100.0% (1) 0.0% (0)
我使用 purrr::imap
和 purrr::set_names
(技术上来自 rlang
包)来保留输出中的变量名称列表.
I used purrr::imap
and purrr::set_names
(technically from the rlang
package) to preserve the variable names in the output list.
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