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CHUNKY: Stata module to chunk a large text file into smaller parts

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
David Elliott () (Nova Scotia Department of Health)
Abstract

chunky breaks a large text file into user specifiable manageable chunks. The typical context for use would be when a researcher receives a huge data dump from a database into a comma separated value data file that is too large to insheet. chunky will allow serial chunking and then infiling or insheeting and saving a subset of data through drop or keep, or using collapse or contract to store summarized data. The smaller chunks can then be appended together to create a dataset with all required observations.

Download Info
To download:

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File URL: http://fmwww.bc.edu/repec/bocode/c/chunky.ado
File Format: text/plain
File Function: program code
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/c/chunky.hlp
File Format: text/plain
File Function: help file
Download Restriction: no

Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S456994.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Size:
Programming language: Stata
Requires: Stata version 8
Date of creation: 23 Jan 2009
Date of revision:
Handle: RePEc:boc:bocode:s456994

Note: This module may be installed from within Stata by typing "ssc install chunky". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC

Order Information:
Web: http://repec.org/docs/ssc.php

For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: data management; ASCII files;

Statistics
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This page was last updated on 2009-11-13.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.