CORRTAB: Stata module to display correlation coefficients in a formatted tabular output

Fred Wolfe ()

Statistical Software Components from Boston College Department of Economics

Abstract: corrtab provides a rapid display of correlations formatted for easy reading and for copying to reports and manuscripts. It optionally makes use of advanced labeling systems to provide clear and useful display suitable for the screen and for word-processors. corrtab displays Pearson or Spearman rank correlations. The default calculation of individual correlation coefficients is made independently and thus the display contains the pairwise coefficients. Optionally, casewise deletion can be requested. The sample size and a test of independence are also reported optionally. String variables are automatically omitted from the analytic processing. Multiple, duplicative variable designations can be selected to enable full capture of intended variables; duplicate variables specified in the varlist are removed before processing. corrtab is a version 8 upgrade of pwcorrs (q.v.).

Language: Stata
Requires: Stata version 8.0
Keywords: tables; correlation (search for similar items in EconPapers)
Date: 2003-08-27
Note: This module may be installed from within Stata by typing "ssc inst corrtab". 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/c/corrtab.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/c/corrtab.hlp help module (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:s434201

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 ().