我在使用 plyr 包中的 ddply 函数时遇到了一些问题。我试图用每组内的计数和比例来总结以下数据。这是我的数据:
structure(list(X5employf = structure(c(1L, 3L, 1L, 1L, 1L, 3L,
1L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 3L, 1L, 2L, 2L, 2L,
2L, 2L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 1L, 1L, 3L, 1L,
3L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 3L,
3L, 3L, 1L), .Label = c("increase", "decrease", "same"), class = "factor"),
X5employff = structure(c(2L, 6L, NA, 2L, 4L, 6L, 5L, 2L,
2L, 8L, 2L, 2L, 2L, 7L, 7L, 8L, 11L, 7L, 2L, 8L, 8L, 11L,
7L, 6L, 2L, 5L, 2L, 8L, 7L, 7L, 7L, 8L, 6L, 7L, 5L, 5L, 7L,
2L, 6L, 7L, 2L, 2L, 2L, 2L, 2L, 5L, 5L, 5L, 2L, 5L, 2L, 2L,
2L, 5L, 12L, 2L, 2L, 2L, 2L, 5L, 5L, 5L, 5L, 2L, 5L, 2L,
13L, 9L, 9L, 9L, 7L, 8L, 5L), .Label = c("", "1", "1 and 8",
"2", "3", "4", "5", "6", "6 and 7", "6 and 7 ", "7", "8",
"1 and 8"), class = "factor")), .Names = c("X5employf", "X5employff"
), row.names = c(NA, 73L), class = "data.frame")
这是我使用 ddply 的电话:
ddply(kano_final, .(X5employf, X5employff), summarise, n=length(X5employff), prop=(n/sum(n))*100)
这给了我正确的每个实例的计数X5employff
,但似乎是在每一行而不是在因子的每个级别内计算比例X5employf
,如下所示:
X5employf X5employff n prop
1 increase 1 26 100
2 increase 2 1 100
3 increase 3 15 100
4 increase 1 and 8 1 100
5 increase <NA> 1 100
6 decrease 4 1 100
7 decrease 5 5 100
8 decrease 6 2 100
9 decrease 7 1 100
10 decrease 8 1 100
11 same 4 4 100
12 same 5 6 100
13 same 6 5 100
14 same 6 and 7 3 100
15 same 7 1 100
当手动计算每个组内的比例时,我得到这个:
X5employf X5employff n prop
1 increase 1 26 59.09
2 increase 2 1 2.27
3 increase 3 15 34.09
4 increase 1 and 8 1 2.27
5 increase <NA> 1 2.27
6 decrease 4 1 10.00
7 decrease 5 5 50.00
8 decrease 6 2 20.00
9 decrease 7 1 10.00
10 decrease 8 1 10.00
11 same 4 4 21.05
12 same 5 6 31.57
13 same 6 5 26.31
14 same 6 and 7 3 15.78
15 same 7 1 5.26
如您所见,因子 X5employf 的每个水平的比例总和等于 100。
我知道这可能非常简单,但尽管阅读了各种类似的帖子,但我似乎无法理解它。任何人都可以帮助解决这个问题以及我对汇总功能如何工作的理解吗?!
非常感谢
马蒂