dcast 条件在 r

Question

> log_df[1:10, ]
      tagid            happened status
1  03B2ACE7 2016-06-28 18:07:36   open
2  03B2ACE7 2016-06-28 18:36:15 closed
3  03B2ACE7 2016-06-29 07:29:59   open
4  03B2ACE7 2016-06-29 08:06:23 closed
5  03B2ACE7 2016-06-30 16:10:48   open
6  03B2ACE7 2016-06-30 17:23:55   open
7  03B2ACE7 2016-07-01 10:12:06 closed
8  03B2ACE7 2016-07-01 13:39:58 closed
9  03B2ACE7 2016-07-02 10:08:40   open
10 03B2ACE7 2016-07-02 13:33:01 closed
...

以上是我的数据。我想制作的是：

      tagid                open               closed
1  03B2ACE7 2016-06-28 18:07:36  2016-06-28 18:36:15
2  03B2ACE7 2016-06-29 07:29:59  2016-06-29 08:06:23
3  03B2ACE7 2016-06-30 16:10:48  2016-07-01 10:12:06
...

我试图让它在 reshape2 包中与 dcast 一起工作。但是，我必须有选择地只去哪里取

"open" 是第一个，只有关闭后才出现，"close" 刚好在打开前出现。

所以从 log_df 开始，第 6 行和第 7 行将被忽略..

我真的被卡住了，不确定我该如何去做.. 也许 dcast 不是最好的方法？

请帮忙！非常感谢！

Answer 1

使用dplyr和tidyr（来自tidiverse，reshape的进化）：

library(dplyr)
library(tidyr)

df %>% 
    filter((status == 'open' & lag(status, default = "") != 'open') | (status == 'closed' & lead(status, default = "") != "closed")) %>% 
    mutate(r = ceiling(row_number() / 2)) %>% 
    spread(status, happened)

#>      tagid r              closed                open
#> 1 03B2ACE7 1 2016-06-28 18:36:15 2016-06-28 18:07:36
#> 2 03B2ACE7 2 2016-06-29 08:06:23 2016-06-29 07:29:59
#> 3 03B2ACE7 3 2016-07-01 13:39:58 2016-06-30 16:10:48
#> 4 03B2ACE7 4 2016-07-02 13:33:01 2016-07-02 10:08:40

它：

根据特定条件过滤 data.frame
添加一列来存储 'group'
将值分布到列（相当于 dcast）

数据：

df <- read.table(text = '      tagid            happened status
1  03B2ACE7 "2016-06-28 18:07:36"   open
2  03B2ACE7 "2016-06-28 18:36:15" closed
3  03B2ACE7 "2016-06-29 07:29:59"   open
4  03B2ACE7 "2016-06-29 08:06:23" closed
5  03B2ACE7 "2016-06-30 16:10:48"   open
6  03B2ACE7 "2016-06-30 17:23:55"   open
7  03B2ACE7 "2016-07-01 10:12:06" closed
8  03B2ACE7 "2016-07-01 13:39:58" closed
9  03B2ACE7 "2016-07-02 10:08:40"   open
10 03B2ACE7 "2016-07-02 13:33:01" closed', h = T)

dcast 条件在 r

dcast with condition in r

r

reshape2

dcast

数据：