Dear everybody,
I have the following challenge. I have a data set with 2 subgroups,
dates (days), and corresponding values (see example code below).
Within each subgroup: I need to aggregate (sum) the values by week -
for weeks that start on a Monday (for example, 2008-12-29 was a
Monday).
I find it difficult because I have missing dates in my data - so that
sometimes I don't even have the date for some Mondays. So, I can't
write a proper loop.
I want my output to look something like this:
group dates value
group.1 2008-12-29 3.0937
group.1 2009-01-05 3.8833
group.1 2009-01-12 1.362
...
group.2 2008-12-29 2.250
group.2 2009-01-05 1.4057
group.2 2009-01-12 3.4411
...
Thanks a lot for your suggestions! The code is below:
Dimitri
### Creating example data set:
mydates<-rep(seq(as.Date("2008-12-29"), length = 43, by = "day"),2)
myfactor<-c(rep("group.1",43),rep("group.2",43))
set.seed(123)
myvalues<-runif(86,0,1)
myframe<-data.frame(dates=mydates,group=myfactor,value=myvalues)
(myframe)
dim(myframe)
## Removing same rows (dates) unsystematically:
set.seed(123)
removed.group1<-sample(1:43,size=11,replace=F)
set.seed(456)
removed.group2<-sample(44:86,size=11,replace=F)
to.remove<-c(removed.group1,removed.group2);length(to.remove)
to.remove<-to.remove[order(to.remove)]
myframe<-myframe[-to.remove,]
(myframe)
--
Dimitri Liakhovitski
Ninah Consulting
www.ninah.com
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