R 如何绘制具有二元（二分法）预测因子的多重对应分析的置信椭圆？

当我试图用分类预测因子在MCA中绘制95%的置信区间时遇到了一些麻烦。这是我的数据和代码中的一个示例

CONSTRUCTION<-c("in plaats van", "ten opzichte van", "met behulp van", "ten koste van", "op grond van", "onder leiding van", "in tegenstelling tot", "op basis van")
IDIOSYNC<-c("no", "yes", "yes", "yes", "no", "no", "no", "no")
ARTICLE<-c("yes", "no", "no", "no", "no", "no", "no", "no")
PLURAL<-c("no", "no", "no", "no", "no", "no", "no", "no")
MODIF<-c("no", "no", "no", "no", "no", "yes", "yes", "no")
EXTRAPOS<-c("yes", "no", "no", "yes", "no", "yes", "yes", "no")
COMPLEM<-c("no", "no", "no", "no", "no", "yes", "no", "no")
P2OPTION<-c("no", "no", "no", "no", "no", "yes", "no", "no")
P1CHBL<-c("no", "no", "no", "no", "no", "no", "no", "no")
P2CHBL<-c("no", "no", "no", "no", "no", "no", "yes", "no")

data.comp.prep<-cbind(CONSTRUCTION, IDIOSYNC, ARTICLE, PLURAL, MODIF, EXTRAPOS, COMPLEM, P2OPTION, P1CHBL, P2CHBL)

ca.comp.prep<-MCA(data.comp.prep[, -c(1, 4, 9)], graph=FALSE)
plot(ca.comp.prep, cex=0.7, col.var="black", col.ind="grey")
ca.comp.prep1<-MCA(data.comp.prep[, -c(4, 9)], quali.sup=1, graph=FALSE)
plot(ca.comp.prep1, invis="ind", col.var="darkgrey", col.quali.sup="black")

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我不知道问题从何而来，我是（m）CA的新手。

CA.comp.prep1

是一个包含MCA结果的列表。您正在尝试对其进行索引，就像它是一个二维的

data.frame

。这里的

[，c（4,9）]

是非感官的

然后，您尝试为

ca.comp.prep1

的第一个变量绘制省略号，该变量基本上是一个行id（每个行的值不同）。没有椭圆是可能的，因为每个类别只有一个点

我的建议是，不要在MCA中添加第一个变量；继续学习

ca.comp.prep

，忘记

ca.comp.prep1

。然后绘制椭圆：

plotellipses(ca.comp.prep1[, -c(4, 9)], keepvar=1, label="quali")
Error in ca.comp.prep1[, -c(4, 9)] : incorrect number of dimensions

plotellipses(ca.comp.prep, keepvar=1, label="quali")

如果仍希望在

ca.comp.prep1

上执行此操作，请尝试另一个变量：

plotellipses(ca.comp.prep1, keepvar=2, label="quali")