y thanks for all your answers and help. Currently I store all my
>>> objects in .GlobalEnv = Workspace. I am not yet familiar working with
>>> different environments nor did I see that this would be necessary for my
>>> analysis.
>>>
>>> Could you explain why wo
orking with
>> different environments nor did I see that this would be necessary for my
>> analysis.
>>
>> Could you explain why working with different environments would be
>> helpful?
>>
>> You suggested to read variables into lists rather than storing them
o do your
homework for you, at least IMHO (others may disagree).
Cheers,
Bert
>
> Kind regards
>
> Georg
>
>
>
> Von:Greg Snow <538...@gmail.com>
> An: g.maub...@weinwolf.de,
> Kopie: r-help
> Datum: 15.08.2016 20:33
> Betreff:Re: [R] Acces
use this?
>
> Kind regards
>
> Georg
>
>
>
> Von:Greg Snow <538...@gmail.com>
> An: g.maub...@weinwolf.de,
> Kopie: r-help
> Datum: 15.08.2016 20:33
> Betreff:Re: [R] Accessing an object using a string
>
>
>
> The names function
Hmm, names appears to be both primitive and generic, since when I look
at the function definition (3.3.0) I see:
> names
function (x) .Primitive("names")
This is what I was referring to as the primitive. I had originally
intended to look at the code for names to see how it accessed the
attribut
'names' is an S3-generic function. E.g., in R-3.3.0:
> names.unnamed <- function(x) sprintf("#%0*d",
ceiling(log10(length(x))), seq_along(x))
> u <- structure(letters, class="unnamed")
> names(u)
[1] "#01" "#02" "#03" "#04" "#05" "#06" "#07"
[8] "#08" "#09" "#10" "#11" "#12" "#13" "#1
The names function is a primitive, which means that if it does not
already do what you want, it is generally not going to be easy to
coerce it to do it.
However, the names of an object are generally stored as an attribute
of that object, which can be accessed using the attr or attributes
functions
Hi All,
I would like to access an object using a sting.
# Create example dataset
var1 <- c(1, 2, 3)
var2 <- c(4, 5, 6)
data1 <- data.frame(var1, var2)
var3 <- c(7, 8, 9)
var4 <- c(10, 11, 12)
data2 <- data.frame(var3, var4)
save(file = "c:/temp/test.RData", list = c("data1", "data2"))
# Define
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