具有因子变量的FactoMineR PCA

Question

这里是R数据格式的数据链接（因此您可以看到因素实际上是因素）：

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（我很高兴看到）替换了缺失的值外，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。我不是说他们是定量的。我说过它们是quali.sup类型。你能复制吗？如果是这样，有什么解决方案？谢谢大家

Answer 1

哦，亲爱的。原来我打错了。我应该说quali.sum变量是13:19，而我说它们是14。这就是问题所在。