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Tag Archives: Programming Language

How to reintegrate changes for Word back into Org-Mode

Via: Original: Your Org source A: Org -> DOCX for co-authors (using pandoc) B: Org -> DOCX -> Org (using pandoc). C: A -> Org (using pandoc and –accept-all-changes) D: B-Original The difference between B and Original are pandoc-introduced changes that you do not want. Ignore/remove these changes from C, call it D and then […]

Generating autoloads and Compiling Org without make

Here is how to do it. Search for the heading “Generating autoloads and Compiling Org without make”. This is very helpful for non-developer Org-Mode users who want to run Org-Mode from source via Git.

Link Roundup

Uniquely Name Source-Blocks and Headline IDs in Org-Mode

Always name all of your Source-Blocks and uniquely ID Headlines in Org-Mode. It is the only way to make Literate Programming pleasant and predictable. At the very least you will understand what is happening during tangling.

Org-Mode Release 8.3

Org 8.3 is now out. Addendum: 2015-08-16 Interesting: org-show-context-detail Markdown export supports switches in source blocks ASCII export additions Export inline source blocks ascii plot date macro parms mathjax cdn viewport for html mobile remotely edit footnote definition texinfo image support Removed option org-koma-letter-use-title Three slash URI links Footnotes in included files are now local […]

Easily Go To and Return From Headlines in Org-Mode

Quit using goto-line and isearch to navigate in your Org-Mode document. I didn’t want to use Helm or Imenu to do it and Org-Mode has a built in solution with org-goto. Be sure to bind the “pop” key very close-by to make it symmetrical and fast. (define-key org-mode-map (kbd “s-u”) #’org-goto) (define-key org-mode-map (kbd “s-U”) […]

BlueSky Statistics for R

[BlueSky Statistics is a] Fully featured Statistics application and development framework built on the open source R project Basically it makes the first 80% of the stuff that you want to do with R very easy. The very cool part is that you get the R output so it is another great way to learn […]

SAS and WPS

SAS (Statistical Analysis System; is a software suite developed by SAS Institute for advanced analytics, business intelligence, data management, and predictive analytics. The World Programming System, also known as WPS, is a software product developed by a company called World Programming. WPS allows users to create, edit and run programs written in the language of […]

MATLAB and Octave

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language. GNU Octave is a high-level programming language, primarily intended for numerical computations. It provides a command-line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with MATLAB.

R and S-PLUS

R is a programming language and software environment for statistical computing and graphics. R is an implementation of the S programming language combined with lexical scoping semantics inspired by Scheme. S is a statistical programming language developed primarily by John Chambers and (in earlier versions) Rick Becker and Allan Wilks of Bell Laboratories. S-PLUS is […]