[R] Non-conformable arrays
Gregory Ryslik
rsaber at comcast.net
Thu Mar 3 06:06:57 CET 2011
Perfect! Thank you!
On Mar 2, 2011, at 10:55 PM, <Bill.Venables at csiro.au> <Bill.Venables at csiro.au> wrote:
> Here is one way.
>
> 1. make sure y.test is a factor
>
> 2. Use
>
> table(y.test,
> factor(PredictedTestCurrent, levels = levels(y.test))
>
> 3. If PredictedTestCurrent is already a factor with the wrong levels, turn it back into a character string vector first.
>
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Gregory Ryslik
> Sent: Thursday, 3 March 2011 1:46 PM
> To: r-help Help
> Subject: [R] Non-conformable arrays
>
> Hi Everyone,
>
> I'm running some simulations where eventually I need to table the results. The problem is, that while most simulations I have at least one predicted outcome for each of the six possible categories, sometimes the algorithm assigns all the outcomes and one category is left out. Thus when I try to add the misclassification matrices I get an error. Is there a simple way I can make sure that all my tables have the same size (with a row or column of zeros) if appropriate without a messy "if" structure checking each condition?
>
> To be more specific,
>
> here's my line of code for the table command and the two matrices that I sometimes have. Notice that in the second matrix, the "fad" column is missing. Basically, I want all the columns and rows to be predetermined so that no columns/rows go missing. Thanks for your help!
>
> Kind regards,
> Greg
>
> table(y.test,PredictedTestCurrent):
>
>
> PredictedTestCurrent
> y.test adi car con fad gla mas
> adi 9 0 0 0 0 0
> car 0 6 1 0 0 3
> con 1 0 3 0 0 0
> fad 0 0 0 2 5 4
> gla 0 1 0 0 6 3
> mas 0 0 0 1 4 4
>
>
> PredictedTestCurrent
> y.test adi car con gla mas
> adi 8 0 0 0 0
> car 0 8 0 0 1
> con 2 0 3 0 0
> fad 0 1 0 4 7
> gla 0 0 0 3 5
> mas 0 2 0 6 3
>
>
>
>
> [[alternative HTML version deleted]]
>
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