【问题标题】:FactoMineR PCA with factor variables具有因子变量的 FactoMineR PCA
【发布时间】:2018-09-01 23:56:05
【问题描述】:

这里是R数据格式的数据的链接(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)

除了告诉我它用均值替换了缺失值(我很高兴看到)之外,上面还产生了这个:

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。

【问题讨论】:

    标签: r debugging pca


    【解决方案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。

    【讨论】:

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