> On Mon, Feb 1, 2016 at 11:16 AM, Paul Johnson wrote:
>>
>> Thanks, KK for studying this one.
>>
>> Am I doing this wrong?
>>
>> > devtools::install_github("thirdwing/Rcpp", ref = "subsetter")
>> Downloading GitHub repo thirdwing
Thanks, KK for studying this one.
Am I doing this wrong?
> devtools::install_github("thirdwing/Rcpp", ref = "subsetter")
Downloading GitHub repo thirdwing/Rcpp@subsetter
from URL https://api.github.com/repos/thirdwing/Rcpp/zipball/subsetter
Error in download(dest, src, auth) : Not Found (HTTP 404
Thanks.
On Thu, Jan 28, 2016 at 2:42 PM, Dirk Eddelbuettel wrote:
>
> Paul,
>
> I can reproduce the segfault on Ubuntu 15.10, "everything current".
> Definitely a valid bug report, though a 30mb xlsx may not qualify as
> minimal.
>
I'm glad I did not attach it to an email, then :)
The data xlsx
Thanks. It has been a while since I used gdb, and I can't recall doing
it with R.
It looks discouraging to me because I see "" in the
symbols. I have to re-learn what symbols are and where to get them.
I deleted openxlsx and got clean re-install before trying this.
What's this one mean?
warnin
Hello
Could I ask for some fresh eyes on this problem?
I need to diagnose a segmentation fault that started appearing this
week after we updated to R-3.2.3 and also Rcpp updated to 0.12.3 at
same time.
>
> library(openxlsx)
>
> sessionInfo()
R version 3.2.3 (2015-12-10)
Platform: x86_64-redhat-l
ot when I say "don't
install with spaces in the path." It is a tough lesson. Most 'user' things
work better with the default: When you do that, Emacs and Notepad++ can't
find R if you drop it in off the path.
pj
Paul Johnson
Lost my sig: http://pj.freefaculty.org
>
Hi
If you have the time to test, you will find that some things that you think
will be faster are actually slower, while some seemingly unimportant things
will give huge acceleration.
I predict that you can learn more about R efficiencies, esp. crossprod &
tcrossprod, and after you do that, my gu
:13 AM, Dirk Eddelbuettel wrote:
>
> On 27 April 2013 at 08:29, Paul Johnson wrote:
> | I'm getting numerous errors when I try to create the RInside qtdensity
> example.
> |
> | This is my first experience with Qt so I suspect there's some simple
> | thing I'm not
I'm getting numerous errors when I try to create the RInside qtdensity example.
This is my first experience with Qt so I suspect there's some simple
thing I'm not doing right.
The first two fatal compilation errors I get are:
---
qtdensity.cpp:37:31: error: allocation of incomplete type 'QLineEd
I'm using Mac OS X 10.8.3 with Xcode 4.6.1 and Mountain Lion Command Line
Tools (March 2013).
I've installed R.app v.3.0 and in R.app I've installed the packages Rcpp
and RInside.
In Xcode I've set Framework Search Paths to /Library/Frameworks and Header
Search Paths to /Library/Frameworks/R.fram
On Sat, Mar 30, 2013 at 10:17 AM, Walter Mascarenhas <
walter.mascaren...@gmail.com> wrote:
> >> "distributed LibRInside.a" ?
> >> Fist off, you have the capitalization wrong. Second, how am I supposed
> to
> >> know how YOU built this? I ship SOURCES. You control your builds.
> There is
> >> no
I think.
pj
> On Thu, Jan 17, 2013 at 7:46 PM, Paul Johnson wrote:
>>
>> On Tue, Jan 15, 2013 at 9:20 AM, John Merrill
>> wrote:
>> > It appears that DataFrame::create is a thin layer on top of the R
>> > data.frame
>> > call. The guarante
On Tue, Jan 15, 2013 at 9:20 AM, John Merrill wrote:
> It appears that DataFrame::create is a thin layer on top of the R data.frame
> call. The guarantee correctness, but also means the performance of an Rcpp
> routine which returns a large data frame is limited by the performance of
> data.frame
Hello, Rcpp land.
I'm still collecting idioms and examples for the usage of Rcpp. Today
I'm looking at ways that people manage the importation of R matrices.
Consider fasLm.r file in the RcppArmadillo package's examples folder.
It uses this this three-step process to bring in a matrix from R. Thi
Here's the writeup with examples on the Google profiler tool as
applied to an R package that uses RcppArmadillo.
http://pj.freefaculty.org/blog/?p=140 "R package profiling with
Google Preftools"
I had forgotten until yesterday, but Dirk E. advised me in 2009 to try
this out. After having invest
inv_sympd> > const&)
621 49.9598 Amelia.soR
void arma::subview_elem2, arma::Mat >::inplace_op, arma::op_inv_sympd> >(a
rma::Base, arma::op_inv_sympd> >
const&) [self]
1 0.0805 no-vmlinux R
/no-vmlinux
Oh,well. It is fun w
. here's the example about R submatrix access
## fasterR-matrix-1.R
## Paul Johnson
## 2012-12-23
nReps <- 5000
nVars <- 100
nRows <- 200
## fn1 with elements is the fastest case scenario
##
fn1 <- function(x){
solve(x)
}
## extract 2:(nVars+1) rows and columns, returns &quo
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