[R] match values in dependence of ID and Date

[arun]

Hi,
Try:
dat <- read.table(text="
ID    Name
1    Andy
2    John
3    Amy",sep="",header=TRUE,stringsAsFactors=FALSE)

dat2 <- read.table(text="
ID  Date            Value
1    2013-10-01    10
1    2013-10-02    15
2    2013-10-01    7
2    2013-10-03    10
2    2013-10-04    15
3    2013-10-01    10",sep="",header=TRUE,colClasses=c("numeric","Date","numeric"))

library(plyr)

 res <- reshape(ddply(merge(dat,dat2,by="ID"),.(ID),mutate,id=((seq_along(ID)-1)%%3+1))[,-3],idvar=c("ID","Name"),timevar="id",direction="wide")
 rownames(res) <- 1:nrow(res)
 colnames(res)[3:5] <- c("First", "Second", "Third")

 res
#  ID Name First Second Third
#1  1 Andy    10     15    NA
#2  2 John     7     10    15
#3  3  Amy    10     NA    NA
A.K.






On Thursday, October 17, 2013 7:42 AM, Mat <matthias.weber at fnt.de> wrote:
hello togehter,

i have a little problem, maybe you can help me.

I have a data.frame like this one:

ID    Name
1     Andy
2     John
3     Amy

and a data.frame like this:

ID   Date            Value
1    2013-10-01    10
1    2013-10-02    15
2    2013-10-01    7
2    2013-10-03    10
2    2013-10-04    15
3    2013-10-01    10

the result should be this one:

ID    Name   First   Second    Third
1     Andy    10     15
2     John     7      10           15
3     Amy     10

maybe you can help me, to do this?

Thank you.

Mat



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