Advanced Search
MyIDEAS: Login

Charts for comparing results between many categories

Contents:

Author Info

  • Ulrich Kohler

    ()
    (WZB)

Abstract

Charts are useful tools for comparing a statistic between groups defined by a categorical variable with many different categories. It has turned out from a number of postings on Statalist that Stata’s standard implementation of these graphs with graph dot and graph bar often limits the the users in their ambition to design such graphs. In most cases, however, users’ design wishes can be satisfied by reverting to the low-level command graph twoway. This tutorial talk demonstrates the construction of charts with graph twoway. We will start by reconstructing a simple bar chart with graph twoway and then move to a number of extensions that are possible when using graph twoway. I will illustrate some trickery with stored results and local macros, as well as a number of useful user-written programs.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://fmwww.bc.edu/repec/dsug2008/kohler.zip
Our checks indicate that this address may not be valid because: 404 Not Found. If this is indeed the case, please notify (Christopher F Baum)
Download Restriction: no

Bibliographic Info

Paper provided by Stata Users Group in its series German Stata Users' Group Meetings 2008 with number 04.

as in new window
Length:
Date of creation: 03 Jul 2008
Date of revision:
Handle: RePEc:boc:dsug08:04

Contact details of provider:
Web page: http://www.stata.com/meeting/germany08/
More information through EDIRC

Related research

Keywords:

This paper has been announced in the following NEP Reports:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:boc:dsug08:04. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum).

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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