For loops are not slow. Inefficient memory management in for loops is slow.
Feel free to preallocate your output vectors and write for loops to your
heart's content. If you really want speed you can write this in C++ using Rcpp
[1]. If your f() is a standard digital filter algorithm this has
On May 27, 2015, at 4:34 PM, blue honour via R-help wrote:
Hi all,
Let's say I have a vector:
vv-c(1,2,3)
And suppose I have a function f(a,b), which is a function of 2 scalar inputs.
I would like to evaluate this function separately for each element of the vv
vector while the
Hi
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of blue
honour via R-help
Sent: Thursday, May 28, 2015 1:34 AM
To: r-help@r-project.org
Subject: [R] Using lapply when there are dependencies
Hi all,
Let's say I have a vector:
vv-c(1,2,3
Winsemius dwinsem...@comcast.net wrote:
Subject: Re: [R] Using lapply when there are dependencies
Cc: r-help@r-project.org
Date: Thursday, May 28, 2015, 7:02 AM
On May
27, 2015, at 4:34 PM, blue honour via R-help wrote:
Hi all,
Let's say I have
a vector:
vv-c(1,2,3
Hi all,
Let's say I have a vector:
vv-c(1,2,3)
And suppose I have a function f(a,b), which is a function of 2 scalar inputs. I
would like to evaluate this function separately for each element of the vv
vector while the second input to f( ) will be the previous output from f( ).
So, the
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