KalC - 10 months ago 49

R Question

I am looking for some directions as I am fairly new to R. Any help would be greatly appreciated.

I have the following vectors:

`> types <- c("A", "B", "C", "D", "E")`

> regions <- c("Atlantic", "Central", "Western")

> categories <- c("AA", "AB", "MN", "XY")

> market <- c("Small", "Medium", "Large")

I am trying to calculate YOY (year-over-year) values for all combinations of the values in these vectors. Combinations can be doubles or triples. Here are some examples ...

`("A", "Atlantic", "AA")`

("A", "Atlantic", "Small")

("A", "AB", "Small")

...

("A", "Small")

("B", "Western")

I intend to use dplyr for the summarizations but I won't be able to filter my main dataset if I don't know the keys. For example, I would need the doubles to be like ...

("types:A", "market:small")

so that I can use strsplit() to get the variable name.

Is it even possible to achieve

Answer Source

I think this will do what you want:

```
combos2 <- combn(c('types', 'regions', 'categories', 'market'), 2)
combos3 <- combn(c('types', 'regions', 'categories', 'market'), 3)
c(unlist(apply(combos2, 2, function(x) apply(expand.grid(get(x[1]), get(x[2])), 1, paste, collapse=':'))),
unlist(apply(combos3, 2, function(x) apply(expand.grid(get(x[1]), get(x[2]), get(x[3])), 1, paste, collapse=':'))))
```

Including the names can be achieved (even less elegantly) thus:

```
c(unlist(apply(combos2, 2, function(x) apply(expand.grid(get(x[1]), get(x[2])), 1, function(y) paste(x[1],y[1],x[2],y[2], sep=':')))),
unlist(apply(combos3, 2, function(x) apply(expand.grid(get(x[1]), get(x[2]), get(x[3])), 1, function(y) paste(x[1],y[1],x[2],y[2],x[3],y[3], sep=':')))))
```

This gives you all two and three combinations, using `get()`

to return the relevant objects and feed to `expand.grid()`

. It's not the most elegant if you want all 4 and 5 etc long versions but it works.