Re-arrange multiple columns in a data set into one column using R

I would like to combine three columns in one of my data sets into one with variable name "al_anim" and remove any duplicates, rank the values (animal ids) from lowest to highest, and re-number each animal from 1 to N under the variable 开发者_如何学Cname "new_id".

 anim1 <- c(1456,2569,5489,1456,4587)
 anim2 <- c(6531,6987,6987,15487,6531)
 anim3 <- c(4587,6548,7894,3215,8542)
 mydf <- data.frame(anim1,anim2,anim3)

Any help would be very much appreciated!

Baz

---

Using mydf from your example:

mydf <- data.frame(anim1, anim2, anim3)

Stack the data:

sdf <- stack(mydf)

Then compute the unique elements using unique()

uni <- unique(sdf[, "values"])

and then this will get them a new animal id

new_id <- as.numeric(as.factor(sort(uni)))

which would give:

> new_id
 [1]  1  2  3  4  5  6  7  8  9 10 11

However that is totally trivial; seq_along(uni) gets you there far more easily. So I wonder if you want

newdf <- data.frame(anim = sort(uni), new_id = seq_along(uni))
merge(sdf, newdf, by.x = "values", by.y = "anim")

which gives:

> merge(sdf, newdf, by.x = "values", by.y = "anim")
   values   ind new_id
1    1456 anim1      1
2    1456 anim1      1
3    2569 anim1      2
4    3215 anim3      3
5    4587 anim1      4
6    4587 anim3      4
7    5489 anim1      5
8    6531 anim2      6
9    6531 anim2      6
10   6548 anim3      7
11   6987 anim2      8
12   6987 anim2      8
13   7894 anim3      9
14   8542 anim3     10
15  15487 anim2     11

There is an amount of ambiguity in your Question which could be alleviated by giving an expected result/output.