Another of the all ye entering here.
Issue
When subscripting an xts object, columns that don’t exist in the object are silently ignored.
Example
First, create an xts object:
xtx <- xts(cbind(a=1:4, b=11:14, c=21:24), order=Sys.Date() + 1:4)
which looks like:
> xtx
a b c
2014-02-07 1 11 21
2014-02-08 2 12 22
2014-02-09 3 13 23
2014-02-10 4 14 24
Using this, we see that there is no error and no warning when asking for a non-existent column:
> xtx[, c("b", "notHere", "a")]
b a
2014-02-07 11 1
2014-02-08 12 2
2014-02-09 13 3
2014-02-10 14 4
In contrast, an error is thrown when this is done with a matrix:
> as.matrix(xtx)[, c("b", "notHere", "a")]
Error in as.matrix(xtx)[, c("b", "notHere", "a")] :
subscript out of bounds
Big danger
I discovered this when testing some new code. I observed non-missing values in a column that should have had all missing values. It would have been easy to miss this if that hadn’t have been the case.
Consider:
newmat <- array(NA, c(4, 4), list(NULL, c("b", "notHere", "a", "Z")))
newmat[] <- xtx[, c("b", "notHere", "a", "Z")]
And the result is:
> newmat
b notHere a Z
[1,] 11 1 11 1
[2,] 12 2 12 2
[3,] 13 3 13 3
[4,] 14 4 14 4
No error, no warning (in this case), but wrong.
The very worst possibility in software is getting wrong results with no indication of a problem (Chapter 50 of Tao Te Programming).
Desiderata
I’d like to lobby for a warning if columns are requested that don’t exist.
There’s the question of whether an error should be thrown or not. At this point throwing an error would break backward compatibility (Chapter 72 of Tao Te Programming). I doubt that there’s much code that depends on the current behavior, but presumably there was some reason not to throw an error.
A compromise would be to add an argument to subscripting that would force an error. For example:
xtx[, c("b", "notHere", "a"), strict=TRUE]
The default value for strict would be FALSE in order to preserve the current behavior. However, there is an argument for making the default TRUE — this forces people to truly decide that the current behavior is what they want.
See also
There are some related items in The R Inferno.
The closest in spirit is probably Circle 8.2.13.
The most troublesome is Circle 8.1.44 — not saying drop=FALSE in subscripting a matrix when it is appropriate.
Circle 8.1.46 is also related, but my favorite in this genre is Circle 8.3.25.
Epilogue
Written by an Italian poet
From the thirteenth century
And every one of them words rang true
And glowed like burning coal
from ”Tangled Up in Blue” by Bob Dylan
jun 25, 26
Towards the basic R mindset. Previously The post ”A first step towards R from spreadsheets” provides an introduction to switching from spreadsheets to R. It also includes a list of [...]
jun 25, 26
I failed to find Kahneman’s book in the economics section of the bookshop, so I had to ask where it was. ”Oh, that’s in the psychology section.” It should have [...]
jun 25, 26
An introductory comparison of using the two languages. Background R was made especially for data analysis and graphics. SQL was made especially for databases. They are allies. The data structure [...]

