具有因子变量的FactoMineR PCA

Question

以下是R数据格式数据的链接（因此您可以看到这些因素实际上是因素）：

Vaccination Data 2016

这是代码：

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

除了告诉我它用手段替换缺失值（我很高兴看到），上面产生了这个：

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

我糊涂了。我没有说他们是定量的。我说他们是quali.sup类型。你能复制一下吗？如果是这样，解决方案是什么？谢谢，所有。

Answer 1

噢亲爱的。事实证明我输错了。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。