我有一个如下所示的数据集
Col1 Col2 Col3 CutoffDate
12001 Yes 2008-08-15 2008-08-10
12001 Yes 2008-08-22 2008-08-10
12001 Yes 2008-08-10 2008-08-10
12001 Yes 2008-08-04 2008-08-10
我只对保留最后两行感兴趣,因为它们小于或等于截止日期 2008-08-10 。
最终数据集应如下所示
Col1 Col2 Col3 CutoffDate
12001 Yes 2008-08-10 2008-08-10
12001 Yes 2008-08-04 2008-08-10
我知道R中的子集功能,但不知道如何做到这一点,非常感谢任何帮助。
答案 0 :(得分:7)
您可以使用常规比较
dat[dat$Col3 <= dat$CutoffDate, ]
# Col1 Col2 Col3 CutoffDate
# 3 12001 Yes 2008-08-10 2008-08-10
# 4 12001 Yes 2008-08-04 2008-08-10
假设Col3和CuttoffDate是“Date”类
或者最好是
with(dat, dat[Col3 <= CutoffDate, ])
答案 1 :(得分:3)
您可以使用subset()
:
df <- data.frame(Col1=c(12001,12001,12001,12001),Col2=c('Yes','Yes','Yes','Yes'),Col3=as.Date(c('2008-08-15','2008-08-22','2008-08-10','2008-08-04')),CutoffDate=as.Date(c('2008-08-10','2008-08-10','2008-08-10','2008-08-10')));
subset(df,Col3<=CutoffDate);
## Col1 Col2 Col3 CutoffDate
## 3 12001 Yes 2008-08-10 2008-08-10
## 4 12001 Yes 2008-08-04 2008-08-10
答案 2 :(得分:1)
如果您使用的是dplyr:
library(dplyr)
df <- data.frame(Col1 = c(12001, 12001, 12001, 12001),
Col2 = c("Yes", "Yes", "Yes", "Yes"),
Col3 = as.Date(c("2008-08-15", "2008-08-22", "2008-08-10", "2008-08-04")),
CutoffDate = as.Date(c("2008-08-10", "2008-08-10", "2008-08-10", "2008-08-10")))
df %>% filter(Col3 <= CutoffDate)