R中的排名和顺序 [英] rank and order in R
本文介绍了R中的排名和顺序的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我无法理解 R 函数 rank
和 R 函数order
之间的区别.它们似乎产生相同的输出:
i am having trouble understanding the difference between the R function rank
and the R function order
. they seem to produce the same output:
> rank(c(10,30,20,50,40))
[1] 1 3 2 5 4
> order(c(10,30,20,50,40))
[1] 1 3 2 5 4
有人可以为我解释一下吗?谢谢
Could somebody shed some light on this for me? Thanks
推荐答案
set.seed(1)
x <- sample(1:50, 30)
x
# [1] 14 19 28 43 10 41 42 29 27 3 9 7 44 15 48 18 25 33 13 34 47 39 49 4 30 46 1 40 20 8
rank(x)
# [1] 9 12 16 25 7 23 24 17 15 2 6 4 26 10 29 11 14 19 8 20 28 21 30 3 18 27 1 22 13 5
order(x)
# [1] 27 10 24 12 30 11 5 19 1 14 16 2 29 17 9 3 8 25 18 20 22 28 6 7 4 13 26 21 15 23
rank
返回一个带有rank"的向量.每个值.第一个位置的数字是第 9 个最低的.order
返回将初始向量 x
排序的索引.
rank
returns a vector with the "rank" of each value. the number in the first position is the 9th lowest. order
returns the indices that would put the initial vector x
in order.
x
的第 27 个值是最低的,所以 27
是 order(x)
的第一个元素 - 如果你看rank(x)
,第27个元素是1
.
The 27th value of x
is the lowest, so 27
is the first element of order(x)
- and if you look at rank(x)
, the 27th element is 1
.
x[order(x)]
# [1] 1 3 4 7 8 9 10 13 14 15 18 19 20 25 27 28 29 30 33 34 39 40 41 42 43 44 46 47 48 49
这篇关于R中的排名和顺序的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!
查看全文