r - 多变量相关性错误 - “一些多变量变量的类别少于应有的类别”

Question

我尝试使用 psych 的命令 cor.ci 进行多色关联，但出现以下错误。你知道我的数据有什么问题吗？

psych::cor.ci(myData , poly = TRUE)

> Some polytomous variables have fewer categories than they should.  Please check your data.   Potential bad items are   Error in mixedCor(data = x, c = NULL, p = p, d = d, smooth = smooth, correct = correct,

这是我的数据（参与者必须回答 4 点李克特量表；在所有变量中，参与者至少选择了 3 个值）：

myData <- structure(list(V1 = c(3, 2, 3, 2, 3, 3, 3, 3, 3, 3, 2, 3, 3, 
3, 2, 3, 3, 3, 2, 3, 3, 1, 2, 3, 3, 3, 3, 2, 3, 2, 3, 2, 1, 3, 
3, 3, 2, 3, 3, 3, 3, 1, 3, 2, 3, 3, 3, 2, 3, 2, 2), V2 = c(3, 
2, 2, 1, 1, 2, 3, 3, 2, 1, 3, 3, 1, 1, 2, 2, 3, 2, 2, 3, 2, 3, 
2, 3, 3, 3, 2, 3, 3, 2, 2, 2, 1, 1, 1, 3, 2, 1, 3, 1, 2, 3, 2, 
3, 3, 3, 2, 2, 2, 3, 1), V3 = c(0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 3, 1, 0, 0, 1, 0, 
0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0), 
V4 = c(1, 2, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 2, 1, 2, 1, 1, 
1, 0, 2, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 3, 0, 2, 
1, 1, 1, 2, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1), V5 = c(2, 2, 
1, 2, 3, 2, 2, 3, 2, 2, 2, 2, 2, 1, 2, 1, 1, 2, 2, 1, 2, 
3, 1, 3, 1, 2, 2, 3, 3, 2, 2, 2, 1, 1, 1, 2, 1, 1, 2, 0, 
3, 3, 2, 2, 2, 2, 1, 1, 2, 0, 2), V6 = c(0, 0, 1, 1, 0, 0, 
1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 
0, 0, 0, 0, 2, 1, 1, 1, 2, 0, 1, 1, 2, 1, 1, 1, 2, 0, 0, 
1, 1, 2, 1, 0, 0, 1), V7 = c(0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 
1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 
1, 2, 1, 2, 3, 2, 2, 1, 1, 1, 2, 1, 0, 0, 1, 0, 1, 1, 1, 
0, 0, 0)), row.names = c(NA, -51L), class = "data.frame")

标签： rpsych