IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s459368.html
 

VREVERSE9: Stata module to reverse existing categorical variable

Author

Listed:
  • Nicholas J. Cox

    (Durham University)

Programming Language

Stata

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.

Suggested Citation

  • Nicholas J. Cox, 2024. "VREVERSE9: Stata module to reverse existing categorical variable," Statistical Software Components S459368, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s459368
    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.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/v/vreverse9.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/v/vreverse9.sthlp
    File Function: help file
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:bocode:s459368. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/debocus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.