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Rcpp Gallery

Articles and code that illustrate the use of the Rcpp package

http://gallery.rcpp.org/

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Rcpp Gallery | gallery.rcpp.org Reviews
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Articles and code that illustrate the use of the Rcpp package
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Rcpp Gallery | gallery.rcpp.org Reviews

https://gallery.rcpp.org

Articles and code that illustrate the use of the Rcpp package

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gallery.rcpp.org gallery.rcpp.org
1

eigen

http://gallery.rcpp.org/tags/eigen

Rcpp-Devel list at Gmane. Using iterators for sparse vectors and matrices. Mdash; Soren Hojsgaard and Doug Bates. We illustrate the user of iterators for sparse vectors and matrices and implement a function which determines if a set of nodes in an undirected graph is complete. Coercion of matrix to sparse matrix (dgCMatrix) and maintaining dimnames. Mdash; Søren Højsgaard. Using Eigen for eigenvalues. Mdash; Dirk Eddelbuettel. This example shows how to compute eigenvalues using Eigen.

2

string

http://gallery.rcpp.org/tags/string

Rcpp-Devel list at Gmane. Handling Strings with Rcpp. Mdash; Kevin Ushey. Demonstrates how one might handle a vector of strings with `Rcpp`, in addition to returning output.

3

Call Python from R through Rcpp

http://gallery.rcpp.org/articles/rcpp-python

Rcpp-Devel list at Gmane. Call Python from R through Rcpp. Wush Wu — written Apr 6, 2014 — source. This post provides a brief introduction to calling Python from R through Rcpp. The official Python documentation. Explains how to embed python into C/C applications. Moreover, the Boost.Python. Library provides seamless interoperability between C and the Python programming language. Similarlly, Rcpp. Although there is a package rPython. In this article, we show how to call Python 2.7 from R on Ubuntu. Inclu...

4

Using Boost via the new BH package

http://gallery.rcpp.org/articles/using-boost-with-bh

Rcpp-Devel list at Gmane. Using Boost via the new BH package. Dirk Eddelbuettel — written Jan 31, 2013 — source. Earlier today the new BH. Package arrived on CRAN. Over the years, Jay Emerson. And I had numerous discussions about a basic Boost. Infrastructure package providing Boost headers for other CRAN packages. JJ and Romain chipped in as well, and Jay finally took the lead by first creating a repo on R-Forge. And now the package is out, so what follows is a little demo. Nth day of the Mth week.

5

Condorcet Voting with Rcpp

http://gallery.rcpp.org/articles/condorcet-voting-with-rcpp

Rcpp-Devel list at Gmane. Condorcet Voting with Rcpp. Avraham Adler — written Mar 14, 2014 — source. There is a lot of literature and debate on how to rank candidates under preferential voting. Systems. Two of the methods used to determine winners are those based on some form of Borda count. And those based on some form of Condorcet method. Grows as the number of candidates grows. One of the more common methods of solving a Condorcet paradox is the Schulze method. Here is some simple code to calculate th...

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petewerner.blogspot.com petewerner.blogspot.com

Shifting sands: March 2015

http://petewerner.blogspot.com/2015_03_01_archive.html

A man with a hammer. Tuesday, March 24, 2015. Simulation and relative performance. There’s been some nice posts on randomness the last week or so, in particular here. I would like to look at how we can use simulations to get a better understanding of how some aspect of a trading system holds up relative to a bunch of random trades. In this example, I look at entries on weekly data for SPY. The entry signal is to buy if the previous week closed down. It looks like this. We can see there’s not a lot ...

dirk.eddelbuettel.com dirk.eddelbuettel.com

Rcpp: Seamless R and C++ Integration

http://dirk.eddelbuettel.com/code/rcpp.html

The Rcpp package provides C classes that greatly facilitate interfacing C or C code in R packages using the. Interface provided by R. Rcpp provides matching C classes for a large number of basic R data types. Hence, a package author can keep his data in normal R data structures without having to worry about translation or transfering to C . At the same time, the data structures can be accessed as easily at the C level, and used in the normal manner. Transfer from R to C , and from C to R. Starting with r...

rfortraders.com rfortraders.com

RCPP Gallery and Projects | Quantitative Trading with R

http://www.rfortraders.com/rcpp-gallery-and-projects

Quantitative Trading with R. Thoughts on the R Programming Language, Quantitative Finance and Trading. RCPP Gallery and Projects. I have commented in the past about the usefulness of the RCPP package. Now, Dirk Eddelbuettel has provided another wonderful service to the R community by posting sample R code that leverages this powerful framework. If you are interested in combining the raw speed and performance of C with the syntax of R, check out the following RCPP gallery. Email (will not be published).

systematicinvestor.github.io systematicinvestor.github.io

Correlation in Rcpp · Systematic Investor's Blog

http://systematicinvestor.github.io/Correlation-Rcpp

To install Systematic Investor Toolbox (SIT). There are many great examples of using Rcpp at Rcpp Gallery. Below, I will use RcppParallel. To speed computations of correlation matrix. Load historical end of day data #* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *. Remove ones with little history. Btprep.remove.symbols.min.history. Show the ones removed. Setup #* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *. First let’s implement correlation using Rcpp:. RcppParallel ...

olmjo.com olmjo.com

Jonathan Olmsted

http://www.olmjo.com/blog

A new release of RcppTN is up at https:/ github.com/olmjo/RcppTN. For general information on the package, see here. Installation instructions are on the github page. The big end-user change in this release is the inclusion of entropy calculation at the R and C level. For the last few releases:. Added analytical Entropy calculation at R and C levels. Fixed memory bugs from Rcpp Export. Added vtn1() to C API. Questions and comments are welcomed on github. Or by email (see below). Intellectual exchange, and.

rcpp.org rcpp.org

Rcpp book: Seamless R and C++ Integration with Rcpp

http://www.rcpp.org/book

Rcpp-Devel list at Gmane. The book is available from the publisher, Springer. As both a soft-cover version (ISBN 978-1-4614-6867-7), and an e-book (ISBN 978-1-4614-6868-4); institutions with a Springer Link subscription can also access it. Springer also provides electronic previews. The book is also available from. We are privileged to have a few words from readers of the final draft version. MIT Sloan School of Management. Department of Mathematical Sciences, Aalborg University, Denmark.

systematicinvestor.github.io systematicinvestor.github.io

Rcpp and RcppParallel Examples · Systematic Investor's Blog

http://systematicinvestor.github.io/Rcpp-RcppParallel-Examples

Rcpp and RcppParallel Examples. To install Systematic Investor Toolbox (SIT). Following are few examples of using Rcpp and RcppParallel. I found following resources very helpful:. RcppParallel at Rcpp gallery. To get started on Windows you would need to install Rtools. Example of proper way to pass by reference - - - */. Example of copying multi-dimensional matrices - - - */. C test multi array. Example of allocating list of matrices - - - */. Please save above code in the. 1] [,2] [,3] [,4] [1,] 1 1 1 1...

dirk.eddelbuettel.com dirk.eddelbuettel.com

code

http://dirk.eddelbuettel.com/code

Rcpp and related Projects. A fair number of recent projects involve the Rcpp. Package for seamless R and C integration, and several related packages. The Rcpp website. Has more about Rcpp, and the Rcpp Gallery. Presents a number of worked examples. Extend, respectively, to the Armadillo, Eigen and GSL frameworks. Most of these packages are authored jointly by the Rcpp Core team. Several few smaller and sometimes still incomplete packages use Rcpp to extend to other interesting package or libraries. Provi...

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Rcpp Gallery

Rcpp-Devel list at Gmane. Rcpp Gallery Articles and code examples for the Rcpp. Parsing Dates and Times. Mdash; Dirk Eddelbuettel. We demonstrate a new utility function built around the Boost Date Time parsing functions. Sampling Importance Resampling (SIR) and social revolution. Mdash; Jonathan Olmsted. We use SIR to characterize the posterior distribution of parameters associated with the probability of social revolution. Implementing an EM Algorithm for Probit Regressions. Mdash; Jonathan Olmsted.

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