[R] Group all the consecutive days

[arun]

Hi,
Try:


dat1<- read.table(text='"year" "month" "day" "rainfall" "landslide"
"3" 2007 6 6 1.6 0
"4" 2007 6 7 1.8 0
"6" 2007 6 12 4.6 0
"8" 2007 7 5 6.6 0
"9" 2007 7 10 3 0
"10" 2007 7 11 1.2 0
"11" 2007 8 3 6.4 0
"12" 2007 8 10 2.8 0
"14" 2007 9 4 5.4 0
"15" 2007 9 5 1 0
"16" 2007 9 10 2.8 0
"17" 2007 9 11 6.8 0
"18" 2007 9 18 1.4 0
"19" 2007 9 19 1 0
"20" 2007 9 27 3 0
"21" 2007 10 6 41.4 0
"22" 2007 10 7 146 1
"23" 2007 10 10 2 0
"24" 2007 10 11 3.4 0
"26" 2007 10 18 17.4 0
"28" 2007 10 20 12.8 0
"29" 2007 10 21 1.8 0
"30" 2007 10 22 15.6 0
"33" 2007 10 25 8.6 0
"35" 2007 10 30 5.2 0
"36" 2007 10 31 34 1
"37" 2007 11 1 7.6 0
"39" 2007 11 9 6.8 1
"40" 2007 11 14 6.2 0
"41" 2007 11 15 3.8 0
"42" 2007 11 16 9.2 0',sep="",header=TRUE,stringsAsFactors=FALSE)
 vec1<- as.Date(paste(dat1[,1],sprintf("%02d",dat1[,2]), sprintf("%02d",dat1[,3]),sep="-"))
 indx<-c(0,cumsum(1-(diff(vec1)==1)))
res<- do.call(rbind,lapply(split(dat1,indx),function(x) {x$rainfall<-sum(x$rainfall);x$Date<-paste(paste(x[,1],sprintf("%02d",x[,2]),sprintf("%02d",x[,3]),sep="-"),collapse=",");x; x[1,c(6,4:5)]}))


A.K.



----- Original Message -----
From: Stefano Sofia <stefano.sofia at regione.marche.it>
To: "r-help at r-project.org" <r-help at r-project.org>
Cc: 
Sent: Wednesday, October 2, 2013 10:09 AM
Subject: [R] Group all the consecutive days

Dear R-users,
I have a data frame where in each row there is the daily rainfall cumulative;
missing days mean that in that days rainfall has been zero.
I need to group all the consecutive days in a single row and store in the field "rainfall" the sum of these consecutive days.
Is there a reasonable way to do that?

Thank you for your help
Stefano

"year" "month" "day" "rainfall" "landslide"
"3" 2007 6 6 1.6 0
"4" 2007 6 7 1.8 0
"6" 2007 6 12 4.6 0
"8" 2007 7 5 6.6 0
"9" 2007 7 10 3 0
"10" 2007 7 11 1.2 0
"11" 2007 8 3 6.4 0
"12" 2007 8 10 2.8 0
"14" 2007 9 4 5.4 0
"15" 2007 9 5 1 0
"16" 2007 9 10 2.8 0
"17" 2007 9 11 6.8 0
"18" 2007 9 18 1.4 0
"19" 2007 9 19 1 0
"20" 2007 9 27 3 0
"21" 2007 10 6 41.4 0
"22" 2007 10 7 146 1
"23" 2007 10 10 2 0
"24" 2007 10 11 3.4 0
"26" 2007 10 18 17.4 0
"28" 2007 10 20 12.8 0
"29" 2007 10 21 1.8 0
"30" 2007 10 22 15.6 0
"33" 2007 10 25 8.6 0
"35" 2007 10 30 5.2 0
"36" 2007 10 31 34 1
"37" 2007 11 1 7.6 0
"39" 2007 11 9 6.8 1
"40" 2007 11 14 6.2 0
"41" 2007 11 15 3.8 0
"42" 2007 11 16 9.2 0


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