Thank you for this solution which is faster than the two for loops.
gloop <- function(N1,N2,ratio_sampling,vec1,vec2){
ix <- seq_along(vec2)
S_diff2 <- sapply(seq_len(N1-(N2-1)*ratio_sampling), \(j)
sum((vec1[(ix-1)*ratio_sampling+j] - vec2[ix])**2))
return(S_diff2)
This can be vectorized. Try
ix <- seq_along(vec2)
S_diff2 <- sapply(seq_len(N1-(N2-1)*ratio_sampling), \(j)
sum((vec1[(ix-1)*ratio_sampling+j] - vec2[ix])**2))
On Sun, Jun 16, 2024 at 11:27 AM Laurent Rhelp wrote:
>
> Dear RHelp-list,
>
> I try to use the package comprehenr to replace a
Avi and Jeff,
Thank you very much for your answers. I did not think I would get such
an interessing answer when I asked my question.
In fact, I discovered recently the list comprehension reading some
python code and I was seduced but the compact notation so I decided to
do an exercice on an
I fully agree with Jeff that the best way to use ANY language is to evaluate
the language in terms of not just the capabilities it offers but also the
philosophy behind what it was created for and how people do things and just
grok it and use it mostly in the way intended. I do that with all the
I would be more strong on this advice: learn to think in R, rather than
thinking in Python, when programming in R. R has atomic vectors... Python does
not (until you import a package that implements them). I find that while it is
possible to import R thinking into Python, Python programmers
Laurent,
Thank you for introducing me to a package I did not know existed as I use
features like list comprehension in python all the time and could see using it
in R now that I know it is available.
As to why you see your example as slow, I see you used a fairly complex and
nested expression
Dear RHelp-list,
I try to use the package comprehenr to replace a for loop by a list
comprehension.
I wrote the code but I certainly miss something because it is very
slower compared to the for loops. May you please explain to me why the
list comprehension is slower in my case.
Here
On Sun, 16 Jun 2024 08:33:03 +0100
Rui Barradas wrote:
> Hello,
>
> There is an error in your new code:
>
>
> paste YEAR with DOY, not with HR.
>
>
> As for the rest, is your real data like the one you posted before?
> If it is then I don't see anything wrong with my (tested) solution.
Às 21:42 de 15/06/2024, Jibrin Alhassan escreveu:
Thank you Rui. I ran the following script
df1 <- read.table("solar_hour", header = TRUE)
df1$date <- as.Date(paste(df1$year, df1$hour),
format = "%Y %j",
origin = "2012-08-01-0")
df2 <- df1[c("date", "IMF", "SWS", "SSN", "Dst", "f10")]
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