带因子变量的FactoMineR主成分分析

Question

以下是R数据格式的数据链接(因此您可以看到因子实际上是因子)：

Vaccination Data 2016

代码如下：

df %>%
   PCA(scale.unit = TRUE,
       quali.sup = 14, #the factor variables
       graph = T)

除了告诉我它用均值替换了缺少的值(我很高兴看到这一点)之外，上面的代码还产生了这样的结果：

argument is not numeric or logical: returning NA
argument is not numeric or logical: returning NA
argument is not numeric or logical: returning NA
argument is not numeric or logical: returning NA
argument is not numeric or logical: returning NA
argument is not numeric or logical: returning NA
Error in PCA(., scale.unit = TRUE, quali.sup = 14, graph = T) : 
    The following variables are not quantitative:  ins_stat_i
    The following variables are not quantitative:  c1r
    The following variables are not quantitative:  childnm
    The following variables are not quantitative:  state
    The following variables are not quantitative:  sex
    The following variables are not quantitative:  language

我很困惑。我没说它们是定量的。我说他们是quali.sup类型的。你能复制它吗？如果是这样，解决方案是什么？谢谢大家。

Answer 1

哦，亲爱的。结果是我打错了。我应该说quali.sum变量是13:19，而我说的是14，这就是问题所在。