[英]subset dataset based on date comparison R
I have a dataset as shown below 我有一个数据集,如下所示
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
I am only interested in retaining the last two rows because they are less than or equal to the Cutoff Date 2008-08-10 . 我只想保留最后两行,因为它们小于或等于截止日期2008-08-10 。
The final dataset should look like this 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
I know the subset function in R but not sure how to do this , any help is much appreciated. 我知道R中的子集函数,但不确定如何执行此操作,非常感谢您的帮助。
You can just use regular comparison 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
Assuming Col3 and CuttoffDate are class "Date" 假设Col3和CuttoffDate是“ Date”类
or maybe preferably, 或最好是
with(dat, dat[Col3 <= CutoffDate, ])
You can use subset()
: 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
And if you are using dplyr: 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)
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.