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$ is only valid for recursive objects, and is only discussed in the section below on recursive objects.
Now, let's check whether
x
is recursive
> is.recursive(x)
[1] FALSE
A recursive object has a list-like structure. A vector is not recursive, it is an atomic object instead, let's check
> is.atomic(x)
[1] TRUE
Therefore you get an error when applying $
to a vector (non-recursive object), use [
instead:
> x["ed"]
You can also use getElement
> getElement(x, "ed")
[1] 2
–
–
The reason you are getting this error is that you have a vector
.
If you want to use the $
operator, you simply need to convert it to a data.frame
. But since you only have one row in this particular case, you would also need to transpose it; otherwise bob
and ed
will become your row names instead of your column names which is what I think you want.
x <- c(1, 2)
names(x) <- c("bob", "ed")
x <- as.data.frame(t(x))
[1] 2
–
Because $
does not work on atomic vectors. Use [
or [[
instead. From the help file for $
:
The default methods work somewhat differently for atomic vectors, matrices/arrays and for recursive (list-like, see is.recursive) objects. $ is only valid for recursive objects, and is only discussed in the section below on recursive objects.
x[["ed"]]
will work.
And, will give you output of x$ed as:
If you want bob and ed as column names then you need to transpose the dataframe like x <- as.data.frame(t(x))
So your code becomes
x<-c(1,2)
names(x)<- c("bob","ed")
x <- as.data.frame(t(x))
Now the output of x$ed is:
[1] 2
You get this error, despite everything being in line, because of a conflict caused by one of the packages that are currently loaded in your R environment.
So, to solve this issue, detach all the packages that are not needed from the R environment. For example, when I had the same issue, I did the following:
detach(package:neuralnet)
bottom line: detach all the libraries no longer needed for execution... and the problem will be solved.
Atomic collections are accessible by $
Recursive collections are not. Rather the [[ ]]
is used
Browse[1]> is.atomic(list())
[1] FALSE
Browse[1]> is.atomic(data.frame())
[1] FALSE
Browse[1]> is.atomic(class(list(foo="bar")))
[1] TRUE
Browse[1]> is.atomic(c(" lang "))
[1] TRUE
R can be funny sometimes
a = list(1,2,3)
b = data.frame(a)
d = rbind("?",c(b))
e = exp(1)
f = list(d)
print(data.frame(c(list(f,e))))
X1 X2 X3 X2.71828182845905
1 ? ? ? 2.718282
2 1 2 3 2.718282
–
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