See ?merge. Also ?merge.zoo in the zoo package and sqldf
in the sqldf package (http://sqldf.googlecode.com).
Please read the last line to every message to r-help.
On Fri, Nov 7, 2008 at 6:19 PM, t c <[EMAIL PROTECTED]> wrote:
> I am trying to combine two data sets, one with daily values and one with
> weekly values. SurveyData conatins environmental data collected on a daily
> basis. sat.data contains satellite sea surface temperature that is an
> average of satellite measurements over a six day period. I would like to
> combine the two files so that my output file has the daily dates from
> SurveyData and the weekly average from sat.data that corresponds to that day.
> I have written a loop that does exactly what I want, but it takes a very
> long time. Is there a faster way to do this? What I have so far is below.
> Thanks,
> Tim
>
> #Compare dates
> for(i in 1:length(SurveyData$Date))
> {
> print(i)
> for(j in 1:length(sat.data$Date.Start))
> {
> if(
> sat.data$Date.Start[j]<=SurveyData$Date[i] &
> sat.data$Date.End[j]>=SurveyData$Date[i])
> survey.data[i]<- sat.data$data[j]
> }
> }
>
> #Create data frame with final data
> final.data<-data.frame(SurveyData$Record,SurveyData$Date,survey.data)
>
> #Write data to file
> write.csv(final.data,file="Combined.csv")
>
>
>
>
> [[alternative HTML version deleted]]
>
>
> ______________________________________________
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>
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