try 'sqldf' > master=as.data.frame(list(clientId=c(1:4,2), date=1001:1005, + value=10001:10005)) > control=as.data.frame(list(clientId=c(2,3), mindate=c(100,1005), + maxdate=c(1005,1005), control.params=c(1,2))) > master clientId date value 1 1 1001 10001 2 2 1002 10002 3 3 1003 10003 4 4 1004 10004 5 2 1005 10005 > control clientId mindate maxdate control.params 1 2 100 1005 1 2 3 1005 1005 2 > require(sqldf) > sqldf(" + select m.* + from master m, control c + where m.clientId = c.clientID + and m.date between c.mindate and c.maxdate + ") clientId date value 1 2 1002 10002 2 2 1005 10005 > >
On Thu, Jan 20, 2011 at 9:02 PM, analys...@hotmail.com <analys...@hotmail.com> wrote: > (1) I have a master data frame that reads > > ClientID |date |value > > (2) I also have a control data frame that reads > > Client ID| Min date| Max date| control parameters > > The control data set may not have all client IDs . > > I want to use the control data frame on the master data frame to > remove client IDS that don't exist in the control data set and for > those that do, remove dates outside the required range. > > (3) We can either put the control parameters on all rows corresponding > to a client ID or look it up from the control data frame > > (4) The basic function call looks like > > do.something(df,control parameters) > > where df is the subset of the master data set that corresponds to a > single client with unwanted dates removed and the control parameters > pertain to that client. > > Any help would be appreciated. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Jim Holtman Data Munger Guru What is the problem that you are trying to solve? ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.