Luma -
If I understand you correctly, I think the easiest way
to get what you want is to use the reshape function on
the output from aggregate:
reshape(Count.Cells,idvar=c('Var1','Var2'),timevar='Var3',direction='wide')
Var1 Var2 dummy.D dummy.I
1 S1 T1 2 2
2 S2 T1 2 2
3 S1 T2 2 2
7 S2 T2 NA 4
- Phil Spector
Statistical Computing Facility
Department of Statistics
UC Berkeley
spec...@stat.berkeley.edu
On Thu, 19 May 2011, Luma R wrote:
Dear all,
I am having trouble creating summary tables using aggregate function.
given the following table:
Var1 Var2 Var3 dummy
S1 T1 I 1
S1 T1 I 1
S1 T1 D 1
S1 T1 D 1
S1 T2 I 1
S1 T2 I 1
S1 T2 D 1
S1 T2 D 1
S2 T1 I 1
S2 T1 I 1
S2 T1 D 1
S2 T1 D 1
S2 T2 I 1
S2 T2 I 1
S2 T2 I 1
S2 T2 I 1
I want to create a summary table that shows for each category of Var1,
Var2, the number of cells that are Var3=D and Var3-I :
Var1 Var2 Var3(D) Var3(I)
S1 T1 2 2
S1 T2 2 2
S2 T1 2 2
S2 T2 0 4
However, if I do: Count.Cells= aggregate(dummy~ Var1+Var2+Var3, FUN='sum')
, I get:
Var1 Var2 Var3 Count of Resp
S1 T1 D 2
S1 T1 I 2
S1 T2 D 2
S1 T2 I 2
S2 T1 D 2
S2 T1 I 2
S2 T2 I 4
Is there a way to get different columns for each Var3 level?
Thank you for any help you can give!
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