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f3lix | time spent with my computer

Time spent with my computer. Mdash; 2 comments. Pairwise distances in R. For a recent project I needed to calculate the pairwise distances of a set of observations to a set of cluster centers. In MATLAB you can use the pdist function. Continue reading →. Mdash; 1 comment. Using C libraries in R with rdyncall. Provides a convenient way to write R extensions in C , it obviously requires you to write C code and to have a compiler installed. An alternative I found about only recently is the rdyncall package.

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Time spent with my computer. Mdash; 2 comments. Pairwise distances in R. For a recent project I needed to calculate the pairwise distances of a set of observations to a set of cluster centers. In MATLAB you can use the pdist function. Continue reading →. Mdash; 1 comment. Using C libraries in R with rdyncall. Provides a convenient way to write R extensions in C , it obviously requires you to write C code and to have a compiler installed. An alternative I found about only recently is the rdyncall package.

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1 rdyncall

2 to use

3 the lwpr libary

4 shell

5 cmdexe replacements

6 pycmd

7 http / sourceforge.net/projects/pycmd/

8 nyaos

9 thin documentation

10 tcc/le

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f3lix | time spent with my computer | blog.felixriedel.com Reviews

https://blog.felixriedel.com

Time spent with my computer. Mdash; 2 comments. Pairwise distances in R. For a recent project I needed to calculate the pairwise distances of a set of observations to a set of cluster centers. In MATLAB you can use the pdist function. Continue reading →. Mdash; 1 comment. Using C libraries in R with rdyncall. Provides a convenient way to write R extensions in C , it obviously requires you to write C code and to have a compiler installed. An alternative I found about only recently is the rdyncall package.

INTERNAL PAGES

blog.felixriedel.com

1

R | f3lix

http://blog.felixriedel.com/category/r

Time spent with my computer. Mdash; 2 Comments. Pairwise distances in R. For a recent project I needed to calculate the pairwise distances of a set of observations to a set of cluster centers. In MATLAB you can use the pdist function. Continue reading →. Mdash; 1 Comment. Using C libraries in R with rdyncall. Provides a convenient way to write R extensions in C , it obviously requires you to write C code and to have a compiler installed. An alternative I found about only recently is the rdyncall package.

2

LWPR | f3lix

http://blog.felixriedel.com/tag/lwpr

Time spent with my computer. Mdash; 1 Comment. Using C libraries in R with rdyncall. One reason I like using R for data analysis is that R has a great collection of packages that let you easily apply state-of-the-art methods to your problems. But once in a while you find a library that you would like to use that does not have a R wrapper, yet. While the great Rcpp package. Provides a convenient way to write R extensions in C , it obviously requires you to write C code and to have a compiler installed.

3

Using C libraries in R with rdyncall | f3lix

http://blog.felixriedel.com/2013/05/using-c-libraries-in-r-with-rdyncall

Time spent with my computer. Using C libraries in R with rdyncall. One reason I like using R for data analysis is that R has a great collection of packages that let you easily apply state-of-the-art methods to your problems. But once in a while you find a library that you would like to use that does not have a R wrapper, yet. While the great Rcpp package. Provides a convenient way to write R extensions in C , it obviously requires you to write C code and to have a compiler installed. Most types are respr...

4

Ways to a better shell in windows | f3lix

http://blog.felixriedel.com/2012/11/ways-to-a-better-shell-in-windows

Time spent with my computer. Ways to a better shell in windows. The default Windows command prompt (cmd.exe) is terrible compared to what UNIX terminal emulators and shells offer that’s why people constantly develop new tools to make the command prompt bearable. Here are some links:. CMD replacement implemented in Python. Provides better TAB completion and command line editing. Not a full CMD replacement. Not under active development (? Http:/ www.nyaos.org/. User community mostly Japanese. To your syste...

5

R BLAS: GotoBLAS2 vs OpenBLAS vs MKL | f3lix

http://blog.felixriedel.com/2012/11/r-blas-gotoblas2-vs-openblas-vs-mkl

Time spent with my computer. R BLAS: GotoBLAS2 vs OpenBLAS vs MKL. Short update to Speed up R by using a different BLAS implementation/. MKL is overall the fastest. OpenBLAS is faster than its parent GotoBLAS and comes close to MKL. A = matrix(rnorm(n*n),n,n) A %*% A solve(A) svd(A). This entry was posted on Tuesday, November 6th, 2012 at 17:12 and is filed under R. You can follow any comments to this entry through the RSS 2.0. Feed You can leave a comment. From your own site. May 30, 2013 at 22:14.

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f3lix | time spent with my computer

Time spent with my computer. Mdash; 2 comments. Pairwise distances in R. For a recent project I needed to calculate the pairwise distances of a set of observations to a set of cluster centers. In MATLAB you can use the pdist function. Continue reading →. Mdash; 1 comment. Using C libraries in R with rdyncall. Provides a convenient way to write R extensions in C , it obviously requires you to write C code and to have a compiler installed. An alternative I found about only recently is the rdyncall package.

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