On Dec 28, 10:27 pm, <bill.venab...@csiro.au> wrote:
> Dear 'analyst41' (it would be a courtesy to know who you are)
>
> Here is a low-level way to do it.
>
> First create some dummy data
>
> > allDates <- seq(as.Date("2010-01-01"), by = 1, length.out = 50)
> > client_ID <- sample(LETTERS[1:5], 50, rep = TRUE)
> > value <- 1:50
> > date <- sample(allDates)
> > clientData <- data.frame(client_ID, date, value)
>
> At this point clientData has 50 rows, with 5 clients, each with a sample of
> datas. Everything is in random order execept "value".
>
> Now write a little function to fill out a subset of the data consisting of
> one client's data only:
>
> > fixClient <- function(cData) {
>
> + dateRange <- range(cData$date)
> + dates <- seq(dateRange[1], dateRange[2], by = 1)
> + fullSet <- data.frame(client_ID = as.character(cData$client_ID[1]),
> + date = dates, value = NA)
> +
> + fullSet$value[match(cData$date, dates)] <- cData$value
> + fullSet
> + }
>
> Now split up the data, apply the fixClient function to each section and
> re-combine them again:
>
> > allData <- do.call(rbind,
>
> + lapply(split(clientData, clientData$client_ID),
> fixClient))
>
> Check:
>
> > head(allData)
>
> client_ID date value
> A.1 A 2010-01-04 36
> A.2 A 2010-01-05 18
> A.3 A 2010-01-06 NA
> A.4 A 2010-01-07 NA
> A.5 A 2010-01-08 NA
> A.6 A 2010-01-09 49
>
>
>
> Seems OK. At this point the data are in sorted order by client and date, but
> that should not matter.
>
> Bill Venables.
>
>
It is of course a great honor to receive a reply from you (but please
allow me to continue to be an anonymous source of bits and bytes over
the net).
This is a neat solution, but please watch this space to see my dumber
version (the code might need to be changed to a procedural languaage
eventually).
Thank you.
>
> -----Original Message-----
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf Of analys...@hotmail.com
> Sent: Wednesday, 29 December 2010 10:45 AM
> To: r-h...@r-project.org
> Subject: [R] filling up holes
>
> I have a data frame with three columns
>
> client ID | date | value
>
> For each cilent ID I want to determine Min date and Max date and for
> any dates in between that are missing I want to insert a row
>
> Client ID | date| NA
>
> Any help would be appreciated.
>
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>
> ______________________________________________
> r-h...@r-project.org mailing listhttps://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html
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> - Show quoted text -
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