This project is basically about putting source code into org files. This isn't just code to look pretty as a source code example, but code to be evaluated. Org files have 3 main export targets: org, html and latex. Thus the aim of this project is to produce files in those formats that have benefitted in some way from the evaluation of source code that is present in the source org file. We have a current focus on R code, but we are regarding that more as a working example than as a defining feature of the project.
Code evaluation can have three relevant consequences. Our aim is to deal with these consequences as follows:
We (optionally) incorporate the text output as text in the target document
We either link to the graphics or (html/latex) include them inline.
? We link to other file output
We bear this in mind
These objectives raise three questions:
How is the code placed in the org file?
When is the code evaluated?
What is the result of code evaluation?
Using some version of the code block ideas that Eric and Austin have worked on. (In addition, an aim of org-R was to allow Org users who are not R users to specify R code implicitly, using native org syntax. I'd like to maintain that, but it's not central to this project.)
Let's use an asterisk to indicate content which includes the result of code evaluation, rather than the code itself. Clearly we have a requirement for the following transformation:
org → org*
Let's say this transformation is effected by a function `org-eval-buffer'. This transformation is necessary when the target format is org (say you want to update the values in an org table, or generate a plot and create an org link to it), and it can also be used as the first step by which to reach html and latex:
org → org* → html
org → org* → latex
Thus in principle we can reach our 3 target formats with `org-eval-buffer', `org-export-as-latex' and `org-export-as-html'.
An extra transformation that we might want is
org → latex
I.e. export to latex without evaluation of code, in such a way that R
code can subsequently be evaluated using
Sweave(driver=RweaveLatex), which is what the R community is
used to. This would provide a `bail out' avenue where users can
escape org mode and enter a workflow in which the latex/noweb file
is treated as source.
AIUI The following can all be viewed as implementations of org-eval-buffer for R code:
This is the beginnings of a general evaluation mechanism, that could evaluate python, ruby, shell, perl, in addition to R. The header says it's based on org-eval, what is org-eval??
This accomplishes org → org* in elisp by visiting code blocks and evaluating code using ESS.
This accomplishes org → org* using R via
Sweave("file-with-unevaluated-code.org", driver=RweaveOrg, syntax=SweaveSyntaxOrg)
Like org-R, this achieves org → org* in elisp by visiting code blocks and using ESS to evaluate R code.
Here we have to consider text/numeric output, and graphical output. And also the stage at which evaluation occurs
In the case of org → org*, I would argue that, where appropriate, it should be stored in org tables. Thus an advantage our project would have over Sweave is that tabular output is automatically conveqrted to native tables on export to HTML and latex.
Graphical outputWe place an org link to the file. This is done already by org-R-apply, and by RweaveOrg.
This is done by Sweave(driver=RweaveLatex) and so is out of our hands
I think we're getting close to a comprehensive set of objectives (although since you two are the real R user's I leave that decision up to you). Once we've agreed on a set of objectives and agreed on at least to broad strokes of implementation, I think we should start listing out and assigning tasks.
Org-mode includes orgtbl-mode, an extremely convenient way of using tabular data in a plain text file. Currently, spreadsheet functionality is available in org tables using the emacs package calc. It would be a boon both to org users and R users to allow org tables to be manipulated with the R programming language. Org tables give R users an easy way to enter and display data; R gives org users a powerful way to perform vector operations, statistical tests, and visualization on their tables.
Naive implementation would be to use (org-export-table "tmp.csv")
and (ess-execute "read.csv('tmp.csv')").
org-R passes data to R from two sources: org tables, or csv files. Org tables are first exported to a temporary csv file using org-R-export-to-csv.
org-exp-blocks uses org-interblock-R-command-to-string to send commands to an R process running in a comint buffer through ESS. org-exp-blocks has no support for dumping table data to R process, or vice versa.
NA
When R code evaluation generates vectors and 2-dimensional arrays, this should be formatted appropriately in org buffers (orgtbl-mode) as well as in export targets (html, latex)
Agreed, if we can convert the vector data to lists then we can use the many orgtbl-to-* functions to convert the list to whatever output format we desire. See `orgtbl-to-orgtbl, `orgtbl-to-latex', `orgtbl-to-html', `orgtbl-to-csv', etc…
org-R converts R output (vectors, or matrices / 2d-arrays) to an org table and stores it in the org buffer, or in a separate org file (csv output would also be perfectly possible).
R can generate graphical output on a screen graphics device (e.g. X11, quartz), and in various standard image file formats (png, jpg, ps, pdf, etc). When graphical output is generated by evaluation of R code in Org, at least the following two things are desirable:
output to screen for immediate viewing is possible
graphical output to file is linked to appropriately from the
org file This should have the automatic consequence that it is included appropriately in subsequent export targets (html, latex).
org-R does (1) if no output file is specified and (2) otherwise
org-exp-blocks tries to do 2, but I don't think that part was every really working
At first I was leaning towards leaving the exporting to Sweave, but it seems that once we have evaluation or R working, it will not be difficult to implement full evaluation of R blocks, one-liners, and creation of R graphics on export directly in elisp.
I think that this would be worth the effort since it would eliminate the need for using Sweave, and would allow for exportation to any target format supported by org-mode.
Unfortunately org-mode how two different block types, both useful. In developing RweaveOrg, a third was introduced.
Eric is leaning towards using the #+begin_src blocks, as that is
really what these blocks contain: source code. Austin believes
that specifying export options at the beginning of a block is
useful functionality, to be preserved if possible.
Note that upper and lower case are not relevant in block headings.
I (Eric) propose that we use the syntax of source code blocks as they currently exist in org-mode with the addition of evaluation, header-arguments, exportation, single-line-blocks, and references-to-table-data.
evaluation: These blocks can be evaluated through \C-c\C-c with
a slight addition to the code already present and working in
org-eval-light.el. All we should need to add for R support would
be an appropriate entry in org-eval-light-interpreters with a
corresponding evaluation function. For an example usinga
org-eval-light see * src block evaluation w/org-eval-light.
header-arguments: These can be implemented along the lines of Austin's header arguments in org-sweave.el.
exportation: Should be as similar as possible to that done by Sweave, and hopefully can re-use some of the code currently present in org-exp-blocks.el.
single-line-blocks: It seems that it is useful to be able to
place a single line of R code on a line by itself. Should we add
syntax for this similar to Dan's #+R: lines? I would lean
towards something here that can be re-used for any type of source
code in the same manner as the #+begin_src R blocks, maybe
#+src_R?
references-to-table-data: I get this impression that this is vital to the efficient use of R code in an org file, so we should come up with a way to reference table data from a single-line-block or from an R source-code block. It looks like Dan has already done this in org-R.el.
What do you think? Does this accomplish everything we want to be able to do with embedded R source code blocks?
here's an example using org-eval-light.el
first load the org-eval-light.el file
elisp:(load (expand-file-name "org-eval-light.el" (expand-file-name "existing_tools" (file-name-directory buffer-file-name))))
then press \C-c\C-c inside of the following src code snippet. The
results should appear in a comment immediately following the source
code block. It shouldn't be too hard to add R support to this
function through the `org-eval-light-interpreters' variable.
(Dan: The following causes error on export to HTML hence spaces inserted at bol)
date
Org has an extremely useful method of editing source code and examples in their native modes. In the case of R code, we want to be able to use the full functionality of ESS mode, including interactive evaluation of code.
Source code blocks look like the following and allow for the special editing of code inside of the block through `org-edit-special'.
,## hit C-c ' within this block to enter a temporary buffer in r-mode. ,## while in the temporary buffer, hit C-c C-c on this comment to ,## evaluate this block a <- 3 a ,## hit C-c ' to exit the temporary buffer
dblocks are useful because org-mode will automatically call
`org-dblock-write:dblock-type' where dblock-type is the string
following the #+BEGIN: portion of the line.
dblocks look like the following and allow for evaluation of the
code inside of the block by calling \C-c\C-c on the header of
the block.
In developing RweaveOrg, Austin created org-sweave.el. This allows for the kind of blocks shown in testing.Rorg. These blocks have the advantage of accepting options to the Sweave preprocessor following the #+BEGIN_R declaration.
We should take care to implement this in such a way that all of the different components which have to interactive with R including:
evaluation of source code blocks
automatic evaluation on export
evaluation of \R{} snippets
evaluation of single source code lines
sending/receiving vector data
I think we currently have two implementations of interaction with R processes; org-R.el and org-exp-blocks.el. We should be sure to take the best of each of these approaches.
LocalWords: DBlocks dblocks