我有一个包含日期和价格的数据表:
set.seed(128)
dat <- data.table(DATE=c("2014-01-01","2014-02-01","2014-03-01","2014-04-01",
"2014-05-01","2014-06-01","2014-07-01","2014-08-01",
"2014-09-01","2014-10-01","2014-11-01","2014-12-01"),
PRICE=rnorm(n = 12, mean=100, sd=15))
dat
DATE PRICE
1: 2014-01-01 108.83590
2: 2014-02-01 67.69042
3: 2014-03-01 122.28905
4: 2014-04-01 93.50617
5: 2014-05-01 109.57878
6: 2014-06-01 128.81537
7: 2014-07-01 82.67295
8: 2014-08-01 68.25281
9: 2014-09-01 82.98265
10: 2014-10-01 124.28960
11: 2014-11-01 84.61275
12: 2014-12-01 93.14938
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我想将前几个月的价格作为数据表中的一列添加,因此表格如下所示:
DATE PRICE PRICE_PREV
1: 2014-01-01 108.83590
2: 2014-02-01 67.69042 108.83590
3: 2014-03-01 122.28905 67.69042
...
10: 2014-10-01 124.28960 82.98265
11: 2014-11-01 84.61275 124.28960
12: 2014-12-01 93.14938 84.61275
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我将如何在R中实现这一目标?
使用shift从data.table V> = 1.9.5(GitHub上)
dat[, PRICE_PREV := shift(PRICE)]
dat
# DATE PRICE PRICE_PREV
# 1: 2014-01-01 108.95158 NA
# 2: 2014-02-01 107.23918 108.95158
# 3: 2014-03-01 124.96608 107.23918
# 4: 2014-04-01 99.61007 124.96608
# 5: 2014-05-01 118.13540 99.61007
# 6: 2014-06-01 108.70528 118.13540
# 7: 2014-07-01 93.12482 108.70528
# 8: 2014-08-01 100.06829 93.12482
# 9: 2014-09-01 103.14932 100.06829
# 10: 2014-10-01 122.66710 103.14932
# 11: 2014-11-01 104.84064 122.66710
# 12: 2014-12-01 113.37610 104.84064
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如果您有旧版本(v <1.9.5),您也可以这样做
dat[, PRICE_PREV := c(NA, PRICE[-.N])]
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