[R] trouble with summary tables with several variables using aggregate function
Dennis Murphy
djmuser at gmail.com
Thu May 19 21:29:20 CEST 2011
Hi:
The dummy column really isn't necessary. Here's another way to get the
result you want. Let d be the name of your example data frame.
d <- d[, 1:3]
(dtable <- as.data.frame(ftable(d, row.vars = c(1, 2))))
Var1 Var2 Var3 Freq
1 S1 T1 D 2
2 S2 T1 D 2
3 S1 T2 D 2
4 S2 T2 D 0
5 S1 T1 I 2
6 S2 T1 I 2
7 S1 T2 I 2
8 S2 T2 I 4
An alternative to the reshape() function is the reshape2 package,
which has a function dcast() that allows you to rearrange the data
frame as you desire.
library(reshape2)
dcast(dtable, Var1 + Var2 ~ Var3)
Using Freq as value column: use value_var to override.
Var1 Var2 D I
1 S1 T1 2 2
2 S1 T2 2 2
3 S2 T1 2 2
4 S2 T2 0 4
HTH,
Dennis
On Thu, May 19, 2011 at 2:13 AM, Luma R <rluma1979 at gmail.com> 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!
>
> [[alternative HTML version deleted]]
>
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