I have this kind of data frame:

```
df<-data.frame(Origin=c(1,1,1,2,2,3,3,3),
Var= c(2,4,1,3,5,6,2,1),
Desti= c(2,2,3,2,1,2,1,3))
```

I would like to get the sum of `Var`

, for each value of `Origin`

, grouped by `Desti`

(Out.x) and by `Origin`

(In.x). The result would be for `df`

:

```
Out.1 Out.2 Out.3 In.1 In.2 In.3
1 0 6 1 0 5 2
2 5 3 0 6 3 6
3 2 6 1 1 0 1
```

Any ideas ?

Answer:

May be this helps

```
res <- cbind(xtabs(Var~., df), xtabs(Var~Desti+Origin, df))
colnames(res) <- paste(rep(c("Out", "In"), each=3), 1:3, sep=".")
res
# Out.1 Out.2 Out.3 In.1 In.2 In.3
#1 0 6 1 0 5 2
#2 5 3 0 6 3 6
#3 2 6 1 1 0 1
```

Or, the above can be simplied

```
r1 <- xtabs(Var~., df)
res <- cbind(r1, t(r1)) #change the `column names` accordingly
```

Or using `reshape2`

```
library(reshape2)
res1 <- cbind(acast(df, Origin~Desti, value.var='Var', sum),
acast(df, Desti~Origin, value.var='Var', sum))
colnames(res1) <- colnames(res)
```

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