多变量相关性出错-“某些多变量变量的类别比应有的少”

时间:2018-12-12 16:02:24

标签: r psych

我尝试使用psych的cor.ci命令进行多变量相关,但出现以下错误。您知道我的数据出了什么问题吗?

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(参与者必须使用4点李克特量表进行回答;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")

0 个答案:

没有答案