Reputation: 277
I have a dataset in long form for start and end date. for each id you will see multiple start and end dates. I need to find the difference between the first end date and second start date. I am not sure how to use two rows to calculate the difference. Any help is appreciated.
df=data.frame(c(1,2,2,2,3,4,4),
as.Date(c( "2010-10-01","2009-09-01","2014-01-01","2014-02-01","2009-01-01","2013-03-01","2014-03-01")),
as.Date(c("2016-04-30","2013-12-31","2014-01-31","2016-04-30","2014-02-28","2013-05-01","2014-08-31")));
names(df)=c('id','start','end')
my output would look like this:
df$diff=c(NA,1,1,NA,NA,304, NA)
Upvotes: 2
Views: 463
Reputation: 141
Again with base R, you can do the following:
df$noofdays <- as.numeric(as.difftime(df$end-df$start, units=c("days"), format="%Y-%m-%d"))
Upvotes: 0
Reputation: 93813
Here's an attempt in base R that I think does what you want:
df$diff <- NA
split(df$diff, df$id) <- by(df, df$id, FUN=function(SD) c(SD$start[-1], NA) - SD$end)
df
# id start end diff
#1 1 2010-10-01 2016-04-30 NA
#2 2 2009-09-01 2013-12-31 1
#3 2 2014-01-01 2014-01-31 1
#4 2 2014-02-01 2016-04-30 NA
#5 3 2009-01-01 2014-02-28 NA
#6 4 2013-03-01 2013-05-01 304
#7 4 2014-03-01 2014-08-31 NA
Alternatively, in data.table
it would be:
setDT(df)[, diff := shift(start,n=1,type="lead") - end, by=id]
Upvotes: 2
Reputation: 54237
Here's an alternative using the popular dplyr
package:
library(dplyr)
df %>%
group_by(id) %>%
mutate(diff = difftime(lead(start), end, units = "days"))
# id start end diff
# (dbl) (date) (date) (dfft)
# 1 1 2010-10-01 2016-04-30 NA days
# 2 2 2009-09-01 2013-12-31 1 days
# 3 2 2014-01-01 2014-01-31 1 days
# 4 2 2014-02-01 2016-04-30 NA days
# 5 3 2009-01-01 2014-02-28 NA days
# 6 4 2013-03-01 2013-05-01 304 days
# 7 4 2014-03-01 2014-08-31 NA days
You can wrap diff
in as.numeric
if you want.
Upvotes: 1