gib*_*z00 5 r zoo dplyr data.table
这就是我的数据帧的样子.最右边的列("TimeForLevelChange")是我想要的列.当给定名称的级别更改时,我想从先前级别获取最小日期,并从发生级别更改的行中取出日期并计算差异.所以在第三排,约翰的等级从1变为2,他在等级1中花了16天(2016-01-17 - 2016-01-01),然后换到等级2.
library(data.table)
dt <- fread('
Name Level Date RecentLevelChange TimeForLevelChange
John 1 2016-01-01 NA NA
John 1 2016-01-10 NA NA
John 2 2016-01-17 1->2 16
John 2 2016-01-18 NA NA
John 3 2016-01-22 2->3 5
John 4 2016-01-26 3->4 4
John 4 2016-01-27 NA NA
John 7 2016-01-29 4->7 3
Tom 1 2016-01-10 NA NA
Tom 2 2016-01-17 1->2 7
Tom 2 2016-01-18 NA NA
Tom 3 2016-01-22 2->3 5
Tom 4 2016-01-26 3->4 4
Tom 4 2016-01-27 NA NA
Tom 7 2016-01-29 4->7 3
')
dt[, Date := as.IDate(Date)]
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我可以在data.table中使用shift函数,但我不知道如何为给定名称定义先前级别的最小日期.
我可能会这样做
spell = dt[,{.(
w = .I[1L],
Date = Date[1L]
)}, by=.(Name, rleid(Level))][, .(
w = tail(w,-1),
d = diff(Date)
), by=Name]
dt[spell$w, dur_lastspell := spell$d]
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这使
Name Level Date RecentLevelChange TimeForLevelChange dur_lastspell
1: John 1 2016-01-01 NA NA NA days
2: John 1 2016-01-10 NA NA NA days
3: John 2 2016-01-17 1->2 16 16 days
4: John 2 2016-01-18 NA NA NA days
5: John 3 2016-01-22 2->3 5 5 days
6: John 4 2016-01-26 3->4 4 4 days
7: John 4 2016-01-27 NA NA NA days
8: John 7 2016-01-29 4->7 3 3 days
9: Tom 1 2016-01-10 NA NA NA days
10: Tom 2 2016-01-17 1->2 7 7 days
11: Tom 2 2016-01-18 NA NA NA days
12: Tom 3 2016-01-22 2->3 5 5 days
13: Tom 4 2016-01-26 3->4 4 4 days
14: Tom 4 2016-01-27 NA NA NA days
15: Tom 7 2016-01-29 4->7 3 3 days
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我使用{.()}
而不是.()
因为后者给出了错误.我会把它报告为一个bug.