我的数据如下。我想在每个id中对“presum”列进行转发。
Obs hai_dispense_number pdc1 dayscov2 pdc2 Time ID gh sr pre presum
1 1 Patient HAI0000072 1.0000 30 1.0000 -2 1 0 0 1 -1
2 2 Patient HAI0000072 0.0667 1 0.0333 -1 2 0 0 1 -2
3 3 Patient HAI0000072 1.0000 29 0.9667 1 3 1 1 0 0
4 4 Patient HAI0000072 0.0000 0 0.0000 2 4 1 2 0 0
5 5 Patient HAI0000072 0.0000 0 0.0000 3 5 1 3 0 0
6 6 Patient HAI0000072 0.0000 0 0.0000 4 6 1 4 0 0
7 7 Patient HAI0000072 0.0000 0 0.0000 5 7 1 5 0 0
8 8 Patient HAI0000072 0.4667 14 0.4667 6 8 1 6 0 0
9 9 Patient HAI0000072 1.0000 30 1.0000 7 9 1 7 0 0
10 10 Patient HAI0000072 0.9333 29 0.9667 8 10 1 8 0 0
11 11 Patient HAI0000072 1.0000 30 1.0000 9 11 1 9 0 0
12 12 Patient HAI0000072 0.3333 11 0.3667 10 12 1 10 0 0
13 13 Patient HAI0000072 0.8333 30 1.0000 11 13 1 11 0 0
14 14 Patient HAI0000072 0.9667 29 0.9667 12 14 1 12 0 0
15 15 Patient HAI0000560 1.0000 30 1.0000 -6 1 0 0 1 -1
16 16 Patient HAI0000560 1.0000 29 0.9667 -5 2 0 0 1 -2
17 17 Patient HAI0000560 1.0000 29 0.9667 -4 3 0 0 1 -3
18 18 Patient HAI0000560 0.1000 3 0.1000 -3 4 0 0 1 -4
19 19 Patient HAI0000560 1.0000 30 1.0000 -2 5 0 0 1 -5
20 20 Patient HAI0000560 1.0000 29 0.9667 -1 6 0 0 1 -6
21 21 Patient HAI0000560 1.0000 30 1.0000 1 7 1 1 0 0
22 22 Patient HAI0000560 1.0000 29 0.9667 2 8 1 2 0 0
23 23 Patient HAI0000560 0.9667 29 0.9667 3 9 1 3 0 0
24 24 Patient HAI0000560 0.9667 28 0.9333 4 10 1 4 0 0
25 25 Patient HAI0000560 1.0000 30 1.0000 4 11 1 5 0 0
26 26 Patient HAI0000560 0.9667 28 0.9333 6 12 1 6 0 0
27 27 Patient HAI0000560 0.9667 28 0.9333 7 13 1 7 0 0
28 28 Patient HAI0000560 1.0000 30 1.0000 8 14 1 8 0 0
我试过这个，有用：
y<-df[sort(df$hai_dispense_number, df$presum),]
我知道排序和顺序之间的区别。我绝对想在这里排序。我需要pdc2值来按照它们的顺序保留它们的值。只想反转presum变量。
提前谢谢
答案 0 :(得分：2)
library(plyr)
ddply(df,.(ID), transform,presum=sort(presum))
答案 1 :(得分：0)
使用plyr包
library(plyr)
其中df是您的数据集
arrange(df, desc(presum))