我知道如何获取变量类型列表:
mtcars$vs <- factor(mtcars$vs)
mtcars$am <- factor(mtcars$am)
mtcars$gear <- factor(mtcars$gear)
mtcars$carb <- factor(mtcars$carb)
unlist(lapply(mtcars, class))
mpg cyl disp hp drat wt qsec vs am gear carb
"numeric" "numeric" "numeric" "numeric" "numeric" "numeric" "numeric" "factor" "factor" "factor" "factor"
但有没有办法要么只返回一个类的变量(例如因子),要么按类分组完整列表?我希望能够快速识别所有数字,因子等变量。例如:
void*
答案 0 :(得分:1)
您可以使用dplyr::select_if()
根据结构选择列。
require(tidyverse)
diamonds %>%
select_if(is.factor)
# A tibble: 53,940 x 3
cut color clarity
<ord> <ord> <ord>
1 Ideal E SI2
2 Premium E SI1
3 Good E VS1
4 Premium I VS2
5 Good J SI2
6 Very Good J VVS2
7 Very Good I VVS1
8 Very Good H SI1
9 Fair E VS2
10 Very Good H VS1
# ... with 53,930 more rows