我在许多不同的数据帧上运行NbClust()（即不同的数据，不同的维度）。在大多数情况下它工作正常但在某些情况下会产生奇怪的错误，这似乎是由于NbClust()计算的某些索引中的某些计算错误。
这是我的代码看起来像
library(NbClust)
NbClust(df, distance="euclidean", min.nc=3, max.nc=5, method = "complete")
这是错误我得到
Error in if ((resCritical[ncB - min_nc + 1, 3] >= alphaBeale) &&
(!foundBeale)) { : missing value where TRUE/FALSE needed
我经常遇到的另一个错误是以下
Error in if ((res[ncP - min_nc + 1, 15] <= resCritical[ncP - min_nc +
: missing value where TRUE/FALSE needed
有没有人遇到过类似的问题？或者有人知道为什么NbClust()如此不可靠？任何解决方法？
数据如下
df = structure(list(Rate = c(-0.161, -0.519, 1.163, -0.781, -0.755,
2.252, -0.206, -0.796, -0.803, 1.444, -0.652, -0.541, -0.759,
-0.309, 0.945, -0.202, -0.449, 0.551, -0.774, 0.993, -0.434,
-0.604, -0.571, -0.545, -0.722, -0.696, -0.678, -0.512, -0.759,
2.857, 0.145, -0.206, -0.689, 0.514, 2.373, -0.659, 0.628, 0.2,
2.746, -0.781, -0.704, 2.019, -0.826, -0.051, 0.034, -0.693,
-0.047, -0.571, -0.335, -0.073), Losses = c(-0.142, 4.327, 5.004,
-0.293, -0.293, -0.293, -0.191, -0.293, -0.293, -0.293, 1.044,
0.151, -0.276, -0.293, -0.293, 0.004, -0.024, 0.151, -0.293,
0.223, -0.293, -0.293, 0.089, -0.293, -0.27, -0.293, -0.293,
-0.293, -0.293, -0.287, -0.03, 0.26, -0.293, -0.223, -0.293,
-0.293, -0.293, 0.066, -0.293, -0.293, -0.293, -0.215, 0.086,
0.086, -0.522, -0.518, -0.497, -0.522, -0.516, -0.518)), .Names = c("Rate",
"Losses"), row.names = c(NA, -50L), class = "data.frame")
可以找到关于同一问题的前未回答的问题here