具有因子变量的 FactoMineR PCA

Question

这里是一个link到R数据格式的数据（所以你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)

除了告诉我它用平均值替换了缺失值（我很高兴看到）之外，上面的结果是：

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。我没有说它们是定量的。我说他们是 quali.sup 类型。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。原来是我打错了。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。

具有因子变量的 FactoMineR PCA

FactoMineR PCA with factor variables

debugging

r

pca