LIBHTML: Stata module providing an object oriented implementation of HTML in Mata

Billy Buchanan ()
Additional contact information
Billy Buchanan: Minneapolis Public Schools

Statistical Software Components from Boston College Department of Economics

Abstract: This package contains Mata objects for HTML5 elements that can be used to construct HTML documents within Stata. In addition to providing the source for each of the classes, the package also includes an ado wrapper used to compile the classes locally for users that may want to further customize functionality in the classes. Each class uses a consistent API to minimize any challenges with specific element implementation. To insert content in a tag element use the .setClassArgs() method and the class will place the argument in the appropriate location (e.g., within or between element tags, etc...). To see how these objects can be used, users should see the libd3 examples at https://github.com/wbuchanan/d3mata-examples Note: After downloading/installing run the command -libhtml, rep lib- to build the libhtml Mata library.

Language: Stata
Requires: Stata version 12
Keywords: html; Mata; web; document; markup (search for similar items in EconPapers)
Date: 2016-04-01
Note: This module should be installed from within Stata by typing "ssc install libhtml". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/l/libhtml.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/l/libhtml.sthlp program code (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458164

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().