IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s458608.html
 

SEQUENCES: Stata module for generating versatile numeric sequences

Author

Listed:
  • Ariel Linden

    (Linden Consulting Group, LLC)

Programming Language

Stata

Abstract

sequences is a versatile alternative to official Stata's egen seq() for generating numerical sequences. In contrast to egen seq(), sequences can generate sequences when there are currently no observations in the data (_N == 0), and sequences accepts non-integer values for from(), to(), and by() options, thereby generating non-integer sequences. Like egen seq(), sequences can generate sequences which are negative, or span from negative to positive values.

Suggested Citation

  • Ariel Linden, 2019. "SEQUENCES: Stata module for generating versatile numeric sequences," Statistical Software Components S458608, Boston College Department of Economics, revised 03 Jul 2024.
    • Handle: RePEc:boc:bocode:s458608
    Note: This module should be installed from within Stata by typing "ssc install sequences". 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/s/sequences.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/sequences.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:s458608. 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.