From: David Huffer <David.Huffer_at_csosa.gov>

Date: Fri, 29 Aug 2008 19:46:49 -0400

+ , z3 = factor ( sample ( 0:6 , 20 , r = T ) ) + )

* > X
*

Date: Fri, 29 Aug 2008 19:46:49 -0400

I'm looking for something along the lines of

which ( table ( x ) == max ( table ( x ) ) )

to find the most common level of one factor by several other factors. For instance, I've got

+ x = factor ( sample ( c ( "A" , "B" , "C" , "D" ) , 20 , r = T ) ) + , z1 = factor ( sample ( c ( "Before" , "After" ) , 20 , r = T ) ) + , z2 = factor ( sample ( c ( "Red" , "Green" , "Blue" ) , 20 , r =T ) )

+ , z3 = factor ( sample ( 0:6 , 20 , r = T ) ) + )

x z1 z2 z3

1 D After Blue 0

2 D Before Green 3

3 A Before Red 5

4 C After Green 6

5 C Before Green 6

6 C Before Green 0

7 C Before Red 1

8 C Before Red 5

9 A Before Blue 3

10 A After Green 4

11 D After Red 3

12 C After Green 5

13 A After Red 0

14 B After Red 6

15 B Before Red 3

16 A Before Blue 4

17 B Before Blue 5

18 A After Blue 1

19 B Before Green 1

20 C Before Red 2

* >
*

and i would like to be able to say which category of x was the

most common for each combination of z1, z2, and z3. So, here, which category of x was the most common for Before,Red,0; Before,Red,1; ... Before,Red,6; Before,Green,0; Before,Green,1;... Before,Green,6;...

This seems simple rather as i type it out, but i havent been able to come up with the right approach so far. its friday night so maybe i should just go home and wait until monday...

-- David ______________________________________________ R-help_at_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.Received on Fri 29 Aug 2008 - 23:55:11 GMT

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