Yep, it installs (pretty much as with prev typecasts). In case you are
interested in fixing them, below are the warnings for a few anachronisms. They
were issued before too.
Thanks,
Latchezar
> install.packages("/Data/transient/temp/R/Rcpp_0.11.5.test.tar.gz",repos=NULL)
* installing *source* p
Thanks, I see now. Could you try std::string::size_type instead of size_t ?
See eg http://stackoverflow.com/questions/1181079/stringsize-type-instead-of-int
I would hate to see us drop generality here just because you happen to work
with a peculiar compiler.
Dirk
--
http://dirk.eddelbuettel.
Please find attached the patch w/ diff -u
Thanks for your time,
Latchezar "still hopeful"
-Original Message-
From: Dirk Eddelbuettel [mailto:[email protected]]
Sent: Monday, April 20, 2015 2:33 PM
To: Latchezar (Lucho) Dimitrov
Cc: Dirk Eddelbuettel; Kevin Ushey; [email protected]
http://jungels.net/articles/diff-patch-ten-minutes.html
Google hit number one for 'how to create a patch file'.
We really prefer diff -u. Your patch is __useless__ as it doesn't even say
which file(s) you modified.
Dirk
--
http://dirk.eddelbuettel.com | @eddelbuettel | [email protected]
Please find my patch attached. I hope someone will make another (and better)
one using more meaningful typecasts than the ones I used.
Yes, " we are all working professionals, researchers or academics"
Thanks for your time,
Latchezar
-Original Message-
From: Dirk Eddelbuettel [mailto:e
On 20 April 2015 at 17:08, Latchezar (Lucho) Dimitrov wrote:
| What is the way to "send a proper patch for" you all "to review" Sorry for
asking but it is not obvious on the list
Rcpp code is on GiHub as even a casual Google query would reveal. How to
contribute via GitHub is explained in numer
What is the way to "send a proper patch for" you all "to review" Sorry for
asking but it is not obvious on the list
"
- Why do you always answer questions with a question?
- Why not?
"
I apologize if I took too much of your all time
Thanks,
Latchezar
-Original Message-
From: Dirk Edde
On 20 April 2015 at 12:01, ogami musashi wrote:
| Problem is..i have 400 object of 16,5 Mb each. and it take about 6 hours
| to reimport in R! I use the readr package as this is the fastest base
| function in R.
a) readr != base R
b) fread in package data.table is considered the fastest reader
Hello all,
Recently i've been forced to output results from a Wavelet transform to
files because storing of objects in R took too much memory.
The exported objects are lighter than the objects produced by the
Wavelet package in R so i can re-import them in R.
Problem is..i have 400 object o
