这里是有问题的data.frame:
sample <- dput(df)
structure(c(6, 5, 5, 4, 4, 7, 5, 4, 6, 6, 5, 6, 8, 6, 3, 5, 8,
4, 7, 6, 4, 4, 2, 5, 4, 7, 2, 5, 5, 4, 6, 4, 5, 8, 6, 4, 7, 7,
4, 4, 5, 8, 4, 6, 9, 3, 7, 6, 8, 6, 6, 3, 3, 6, 7, 7, 6, 6, 7,
7, 6, 7, 8, 3, 5, 5, 4, 6, 4, 7, 3, 4, 6, 3, 5, 5, 7, 6, 7, 4,
3, 5, 4, 5, 3, 6, 8, 6, 4, 9, 8, 5, 4, 7, 4, 6, 7, 5, 6, 9, 7,
6, 8, 5, 0, 5, 6, 5, 7, 5, 5, 7, 2, 5, 7, 4, 3, 7, 7, 6, 7, 8,
5, 6, 9, 4, 6, 7, 5, 4, 5, 4, 6, 6, 9, 8, 5, 7, 7, 7, 4, 7, 6,
7, 6, 9, 5, 4, 8, 4, 6, 4, 6, 0, 4, 7, 6, 4, 6, 3, 0, 3, 4, 5,
8, 5, 6, 6, 5, 5, 7, 7, 5, 7, 8, 3, 4, 4, 5, 7, 5, 8, 6, 9, 7,
5, 4, 3, 4, 4, 6, 2, 4, 6, 7, 6, 5, 5, 5, 5, 6, 6, 8, 5, 5, 6,
6, 4, 5, 8, 4, 7, 5, 6, 3, 6, 5, 3, 6, 3, 6, 6, 7, 4, 2, 6, 5,
4, 5, 6, 6, 6, 7, 6, 6, 6, 5, 6, 5, 6, 6, 7, 7, 6, 6, 5, 5, 5,
7, 6, 9, 8, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3), .Dim = c(252L, 2L), .Dimnames = list(NULL, c("pMRMW",
"group")))
aggregate(pMRMW~group,data=sample,shapiro.test)
返回
corrupt data frame: columns will be truncated or padded with NAs
其他功能按预期工作。
我错过了一些完全明显的东西吗?
答案 0 :(得分:3)
出现问题是因为shapiro.test()返回4个值的列表。
如果您需要p值,那么您可以
aggregate(pMRMW~group,data=sample,function (x) shapiro.test(x)$p.value)
group pMRMW
1 1 0.0064932854
2 2 0.0006112324
3 3 0.0044895909