r语言 - FactoMineR 摘要中的错误。打印类别时的 FAMD



我正在用FactoMineR用估算FAMD处理NA。FAMD 工作正常,但 summary(( 在打印类别时会产生错误。有 19 个连续变量和 2 个分类变量。

library(FactoMineR)
library(missMDA)#handle missing values
n = c(2, 3, 5, 3, 4, 6, 7, 3, 7, 3, 7, 8, 11, 4, 13) 
s = c("aa", "bb", "cc", "aa", "bb", "cc", "aa", "bb", "cc", "aa", "bb", "cc", "aa", "bb", "cc") 
b = c(1, 4, NA, NA, 2, 1, 7, 1, 2, NA, NA, 2, 1, 7, NA) 
all = data.frame(n, s, b)
complete = imputeFAMD(all)
FAMDall = FAMD(all, tab.comp = complete)
summary(FAMDall, nbelements = Inf, ncp=4)

在连续变量之后,summary(FAMDall, nbelements = Inf, ncp=4)的输出

停止如下:
Categories
Error in mat[, indice + nb.col * (0:(ncp - 1))] <- obj$cos2[1:nbelements,  : 
number of items to replace is not a multiple of replacement length

问题似乎出在tab.comp论点上。关于?FAMDFactoMineR文档要求由imputeFAMD生成的整个对象,但你需要的是$tab.disj列表元素中的插补矩阵。请参阅?imputeFAMD中的示例部分。这应该有效:

n = c(2, 3, 5, 3, 4, 6, 7, 3, 7, 3, 7, 8, 11, 4, 13) 
s = c("aa", "bb", "cc", "aa", "bb", "cc", "aa", "bb", "cc", "aa", "bb", "cc", "aa", "bb", "cc") 
b = c(1, 4, NA, NA, 2, 1, 7, 1, 2, NA, NA, 2, 1, 7, NA) 
all = data.frame(n, s, b)
complete = imputeFAMD(all)
FAMDall = FAMD(all, tab.comp = complete$tab.disj)
summary(FAMDall, nbelements = Inf, ncp=4)

最新更新