获取因子变量中级别和标签之间的原始关联 [英] Get original association between levels and labels in factor variables

问题描述

我正在寻找一个函数来获取因子变量的原始映射表.我导入一个Rdata文件.我有一个名为"FactVar"的因子变量.我知道"FactVar"的映射表如下:

I'm looking for a function to get the original mapping table of factor variable. I import an Rdata file. I've got a factor variable named "FactVar". I know the mapping table for "FactVar" is as follows:

"010025" -> city1
"015146" -> city2
"048017" -> city3
"082053" -> city4

在我的数据框中，"FactVar"数据如下(前5种情况):

In my dataframe the "FactVar" data are as follows (first 5 cases):

1: city1
2: city3
3: city4
4: city1
5: city3

因此，我的df中没有"city2".我可以使用哪个函数来获取原始映射表?它在我的Rdata文件中可用吗?

So, no "city2" in my df. Which function can I use to get the original mapping table? is it available in my Rdata file?

谢谢

我试图用一个更好的例子来澄清我的问题.我有一个调查问题，可能有以下答案:

I try to clarify my question with a better example. I have a survey question with the following possible answers:

1: "Yes"
2: "No"
8: "Don't Know"
9: "Not Applicable"

我创建一个因子变量"FactVar":

I create a factor variable "FactVar":

Var <- c(1,2,1,2,2,2,1,8,1,2)
FactVar <- factor(Var, levels=c(1,2,8,9), labels=c("Yes", "No", "Don't Know", "Not Applicable")

如您所见，在我的Rdata文件中，我有一个因子变量，其中没有数据链接到不适用"级别.如何获得我的调查问题中的原始映射表?

As you see, in my Rdata file I've got a factor variable where no data are linked to the level "Not Applicable". How can I get the original mapping table as in my survey question?

推荐答案

我之前有这个问题，在这里得到了回答:

I had this question before, which was answered here: How to access actual internal factor lookup hashtable in R

对不起，我没有足够的声誉来发表评论.

Sorry I don't have enough reputation to put this in comments.

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