重新编码变量
我想重新编码一个变量，例如，我们可以通过以下方式转换这个向量：
> a <- c(0,0,0,0,0,1,1,1,1,1) # original
> b <- c(-5,-4,-3,-2,-1,0,1,2,3,4) # transformed
> cbind(a,b)
a b
[1,] 0 -5
[2,] 0 -4
[3,] 0 -3
[4,] 0 -2
[5,] 0 -1
[6,] 1 0
[7,] 1 1
[8,] 1 2
[9,] 1 3
[10,] 1 4
>
这些变量遵循一个顺序，而这个顺序恰好是一个时间顺序。在原始数据集中，我有一个编码为“0”或“1”的变量，例如此处示例中的“a”。它是每年的分类指标。在某个时刻，会出现从“0”到“1”的转换，就像这些示例中的第 6 行一样。然后我想重新编码原始变量，创建一个新变量，它实际上告诉我从“0”到“1”的变化前后有多少年。因此，“-5”表示过渡前五年，“0”表示过渡年份，“4”表示过渡后四年。有什么建议最好的方法吗？谢谢！安东尼奥.
I want to recoded a variable so that, for example, we can get transforme this vector in the following way:
> a <- c(0,0,0,0,0,1,1,1,1,1) # original
> b <- c(-5,-4,-3,-2,-1,0,1,2,3,4) # transformed
> cbind(a,b)
a b
[1,] 0 -5
[2,] 0 -4
[3,] 0 -3
[4,] 0 -2
[5,] 0 -1
[6,] 1 0
[7,] 1 1
[8,] 1 2
[9,] 1 3
[10,] 1 4
>
These variables follow an order, which happen to be a time order. In the original data set, I have a variable which is coded "0" or "1", such as "a" in the example here. It is a categorical indicator for each year. At some point, there is a transition from "0" to "1", like in the row number 6 in these example. Then I would like to recoded the original variable, creating a new variable that actually tells me how many years before and after the change from "0" to "1". Thus "-5" means five year before the transition, "0" means the year of the transition and, say, "4" means four years after the transitions. Any suggestions the best way to do it? Thanks! Antonio.
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