Hello,
Is there a syntax to set the environment of a function when this function is
defined?
The best I could come up with so far is using a wrapper function:
foo_internals<- function(x) {"Code of the function"}
foo<- function(x) {
environment(foo_internals)<-as.environment(target_environme
Hello Denis,
> To borrow shamelessly from one of the prominent helpers on this list:
> "What is the problem you're trying to solve?" Â Â (attribution: Jim Holtman)
I'm trying to connect two sets of legacy R tools: the output of the
first one can be transformed in a data.frame without loss of
inf
Hello Duncan,
Here is a small example to illustrate what I am trying to do.
# Example data.frame
df=data.frame(A=c("a","a","b","b"), B=c("X","X","Y","Z"), C=c(1,2,3,4))
# A B C
# 1 a X 1
# 2 a X 2
# 3 b Y 3
# 4 b Z 4
### First way of getting the list structure (ls1) using imbricated lapply
Hello,
This is my first project in R, so I'm trying to work 'the R way', but it
still feels awkward sometimes.
The problem that I'm facing right now is that I need to convert a data.frame
into a structure of lists. The data.frame has columns in the order of tens
(I need to focus on only three of
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