R中二进制数据的分类

Question

大家早上好，

我正在处理二进制数据的数据集（“是”、“否”），我不确定哪个分类指标适用于这种情况。我想比较两个组的几个二元变量，并了解它们的差异是否具有统计学意义。

我的数据是这样的：

group<-c("ak","no-ak","ak","ak","no-ak","no-ak","no-ak")
autoimmunity<-c("no","yes","no","no","yes","yes","no")
smook<-c("yes","yes","yes","no","yes","no","no")
lactose_int<-c("yes","no","no","yes","yes","yes","yes")
coeliac_dis<-c("no","no","no","yes","no","yes","yes")
df<-data.frame(group,autoimmunity,smook,lactose_int,coeliac_dis)
> df
  group autoimmunity smook lactose_int coeliac_dis
1    ak           no   yes         yes          no
2 no-ak          yes   yes          no          no
3    ak           no   yes          no          no
4    ak           no    no         yes         yes
5 no-ak          yes   yes         yes          no
6 no-ak          yes    no         yes         yes
7 no-al           no    no         yes         yes

我目前在 R 中使用来自 FactoMineR 的 MCA

res.mca <- MCA(df, graph = FALSE)

fviz_mca_ind(res.mca, 
             label = "none", # hide individual labels
             habillage = "group", # color by groups 
             palette = c("#00AFBB", "#E7B800"),
             addEllipses = TRUE, ellipse.type = "confidence",
             ggtheme = theme_minimal()) 

我可以得到一个图，但不是一个显着性，例如比较两个质心。有人可以帮助我吗？ 多谢 安德烈亚

Answer 1

您可以将数据转换为数字，例如，其中一类等于1，另一类等于0。这可以使用 R 中的ifelse 来完成。