数据帧滞后 [英] Lag in dataframe
本文介绍了数据帧滞后的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有一个数据框,如
ID_CASE Month
CS00000026A 201301
CS00000026A 201302
CS00000026A 201303
CS00000026A 201304
CS00000026A 201305
CS00000026A 201306
CS00000026A 201307
CS00000026A 201308
CS00000026A 201309
CS00000026A 201310
CS00000191C 201302
CS00000191C 201303
CS00000191C 201304
CS00000191C 201305
CS00000191C 201306
CS00000191C 201307
CS00000191C 201308
CS00000191C 201309
CS00000191C 201310
我希望最终的数据框有三个附加列,如
I want the final data frame to have three additional column like
ID_CASE Month Lag_1 Lag_2 Lag_3
CS00000026A 201301 NA NA NA
CS00000026A 201302 201301 NA NA
CS00000026A 201303 201202 201201 NA
CS00000026A 201304 201203 201202 201201
CS00000026A 201305 201204 201203 201202
CS00000026A 201306 201305 201304 201303
CS00000026A 201307 201306 201305 201304
CS00000026A 201308 201307 201306 201305
CS00000026A 201309 201308 201307 201306
CS00000026A 201310 201309 201308 201307
CS00000191C 201302 NA NA NA
CS00000191C 201303 201302 NA NA
CS00000191C 201304 201303 201302 NA
CS00000191C 201305 201304 201303 201302
CS00000191C 201306 201305 201304 201303
CS00000191C 201307 201306 201305 201304
CS00000191C 201308 201307 201306 201305
CS00000191C 201309 201308 201307 201306
CS00000191C 201310 201309 201308 201307
其中
- Lag_1滞后1个月
- Lag_2滞后2个月
- Lag_3滞后3个月。
我已使用以下代码至少获得Lag_1
I have used the following code to atleast get Lag_1
df <- ddply(df,.(ID_CASE),transform,
Lag_1 <- c(NA,Month[-nrow(df)]))
但是这不给我所需的输出Lag_1。
But this does not give me the desired output for Lag_1.
我也试过在
R数据帧中的延迟
如果我有一个日期对象而不是 int 列'Month',如当前示例中那样。
And how can this be done if I have a date object instead of an int column 'Month' as in the current example?
对此的任何帮助将不胜感激。
Any help on this will be appreciated.
推荐答案
从下一个版本的data.table(v1.9.6 +)可以使用 shift()
:
From the next version of data.table (v1.9.6+) you can use shift()
:
require(data.table)
setDT(df)[, paste("lag", 1:3, sep="_") := shift(Month, 1:3), by=ID_CASE]
您可以在github项目页面上的当前开发版本(v1.9.5)中尝试过。
You can already try it out from the current dev version (v1.9.5) on github project page.
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