[R] reshape problem: id and variable names not being recognized
jim holtman
jholtman at gmail.com
Mon Jan 26 17:57:59 CET 2009
Look at your 'str(mdat)' and you will see that there is not a variable
call 'mpg'; it is one of the levels of the 'variable'.
On Mon, Jan 26, 2009 at 11:38 AM, MW Frost <mwfrost at gmail.com> wrote:
> 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]]
>
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--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
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