Hi everyone. Long time listener, first-time caller here. I have a data set that's been melted with the excellent reshape package, but I can't seem to cast it the way I need to.
Here's the melted data's structure: > str(mdat) 'data.frame': 6978 obs. of 4 variables: $ VehType : Factor w/ 2 levels "Car","Truck": 1 1 2 1 1 2 1 1 1 1 ... $ Year : Factor w/ 6 levels "2003","2004",..: 5 1 5 6 6 2 2 3 2 5 ... $ variable: Factor w/ 1 level "mpg": 1 1 1 1 1 1 1 1 1 1 ... $ value : num 22.4 21.5 22.6 22.4 25 ... For the purpose of testing, I have stripped out all the variables except for "mpg." Casting it without specifying any ids or variables works fine: > cast(mdat,,mean) VehType Year mpg 1 Car 2003 22.03623 2 Car 2004 21.94160 3 Car 2005 21.77286 4 Car 2006 21.49105 5 Car 2007 21.38180 6 Car 2008 21.56873 7 Truck 2003 16.91461 8 Truck 2004 16.88771 9 Truck 2005 17.19801 10 Truck 2006 17.48225 11 Truck 2007 17.40694 12 Truck 2008 17.74042 I should then be able to make a crosstab of the means by writing a formula, right? It fails, though: > cast(mdat, VehType ~ Year | mpg, mean) Error: Casting formula contains variables not found in molten data: mpg When I make the same table by using "variable" instead of the name of my variable, it works: > cast(mdat, VehType ~ Year | variable, mean) $mpg VehType 2003 2004 2005 2006 2007 2008 1 Car 22.03623 21.94160 21.77286 21.49105 21.38180 21.56873 2 Truck 16.91461 16.88771 17.19801 17.48225 17.40694 17.74042 Why can't it find the "mpg" variable when I call it explicitly? Thanks, Matt Frost [[alternative HTML version deleted]] ______________________________________________ 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.