On 8/11/2007, at 3:00 PM, Steve Powers wrote:
> Everyone is assuming I know what the output data are, or that they
> come
> out from my model in some easily called vector. But I don't, and
> they do
> not. The outputs are hidden, and all are separate variables that
> need to
> be called. Also which ones come out after a given run will vary each
> time. All I have to reference the desired output variables are the
> names
> of every POTENTIAL output in character format, all in one vector.
This doesn't make a lot of sense. What does ``The outputs are
hidden'' mean? What does ``all are separate variables'' mean?
What does ``that need to be *called*'' (emphasis mine) mean?
It sounds as if you have software (a script?) that is creating global
variables in your workspace rather than a function returning a list.
This is bad practice and makes it hard to use the beautiful
facilities of R.
BTW you cannot mix types in a single *vector*; if you have scalars
of different types (numeric and character) and you want to store
them in a single object, you have to use a *list* rather than a
vector.
If you have a subset of varA, ..., varZ as global variables in your
workspace, you can put them into a *list* of length 26, in the
proper slots as follows:
nms <- paste("var",LETTERS,sep="")
res <- lapply(nms,function(x){if(exists(x)) get(x) else NA})
I emphasize however that if this is indeed your approach it is bad
and dangerous programming.
> In any event, if anyone knows how to simply put all workspace variable
> names into one character vector, and their values/strings in another
> vector, that should work and I could take it from there (all I need
> are
> the one element variables, not vectors or data frames). Initially I
> messed around for awhile with ls() and ls.str() with no luck. Can't
> get
> those data into a useful format.
To put ***all*** the names of all variables in a workspace into
a character vector, you use ls()!!! (Like, I mean, huh?)
You ***cannot*** put ``their values'' into another ***vector***
unless they are all scalars of the same type. You can (easily)
put their values into a list:
all.nms <- ls()
all.res <- lapply(all.nms,get)
cheers,
Rolf Turner
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