Well, sort of...
aggregate() is basically a wrapper for lapply(), which ultimately must loop
over the function call at the R interpreter level, as opposed to vectorized
functions that loop at the C level and hence can be orders of magnitude
faster. As a result, there is often little difference in
You don't need loops at all.
grw <- aggregate(gw ~ ts + ISEG + iter, data = dat, FUN = sum)
GRW <- aggregate(gw ~ ts + ISEG, data = grw, FUN = function(x){max(x) -
min(x)})
DC <- aggregate(div ~ ts + ISEG, data = subset(dat, IRCH == 1), FUN =
function(x){max(x) - min(x)})
iter <- a
Sigh. I still disagree that your question is on topic, but someone else may
offer something more helpful than I can.
You are being rather vague about this API... and if you identified it
specifically then I would probably object that it was almost certainly very
specific to a single operating s
Hi Jeff,
thanks, actually my question is how to do this in R, I don't think I am
being out of topic.
Other programming/scripting languages provide interfaces to the OS password
keyring that allows
users to encrypt files using the user master password, but I have no idea
how to do this in R.
Thank
You are certainly in Circle 2 of 'The R Inferno',
which I suspect is where almost all of the
computation time is coming from.
Instead of doing:
divChng <- rbind(divChng,c(datTS$ts[1], SEG[j], DC, GRW,
max(datTS$iter)))
it would be much better to create 'divChng' to
be the final length and then
The topic of this list is R, not security. For the purposes of this mailing
list the user needs to take responsibility for the password. If you want to
take that responsibility (cache it) from the user then you need to talk to
experts on security so you can become one yourself.
IMHO obfuscating
Hi, I need some help with obfuscating AES key on Windows, Linux and Mac.
I have asked the same question on stackoverflow, but since I didn't
receive any input
I have decided to post it here too. You can find my question at:
http://stackoverflow.com/questions/29580742/protect-aes-key-used-in-r-code
The small example below works lighting-fast; however, when I run the same
script on my real problem, a 1Gb text file, the for loops have been running
for over 24 hrs and I have no idea if the processing is 10% done or 90%
done. I have not been able to figure out a betteR way to code up the
materia
Several issues
1) The problem is with minqa, not caret (let alone CARET: R is
case-sensitive).
2) As the posting guide says, update your R before posting.
3) We are missing the 'at a minimum' information, the output of
sessionInfo(). You have not told us how you installed R, but my guess
i
Can you post the results of a
sessionInfo()
It looks like you may have an old installation of R
John Kane
Kingston ON Canada
> -Original Message-
> From: samarvir1...@gmail.com
> Sent: Sun, 12 Apr 2015 14:01:14 +0530
> To: r-help@r-project.org
> Subject: [R] Can't load CARET package, o
I installed CARET package, but when I try to load CARET. I see this error.
Please help. thank you
install.packages("caret")
trying URL '
http://cran.rstudio.com/bin/macosx/mavericks/contrib/3.1/caret_6.0-41.tgz'
Content type 'application/x-gzip' length 3997718 bytes (3.8 Mb)
opened URL
==
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