VREVERSE9: Stata module to reverse existing categorical variable
Nicholas Cox
Statistical Software Components from Boston College Department of Economics
Abstract:
vreverse generates a new variable as a reversed copy of an existing categorical variable with integer values. Suppose that in the observations specified values vary between minimum min and maximum max. Then values are mapped to min + max - value and value labels are mapped, or assigned, accordingly. The new variable will have the same storage type, display format, variable label and characteristics. It is the user's responsibility to consider whether the copied variable label and characteristics also apply. vreverse9 is a command that also covers any extended missing values by virtue of copying them and any value labels unchanged. The name flags that Stata 9 is required.
Language: Stata
Requires: Stata version 9
Keywords: categorical data; recode; label (search for similar items in EconPapers)
Date: 2024-08-31
Note: This module may be installed from within Stata by typing "ssc install vreverse9". 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/v/vreverse9.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/v/vreverse9.sthlp help file (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:s459368
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 ().