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From |
Yuval Arbel <yuval.arbel@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Weighted proportion |

Date |
Fri, 5 Oct 2012 01:26:15 +0200 |

You can also try:: -twoway__histogram_gen varname, generate (h x) frequency- in which case you will get in the editor two variables (h and x) - where one of which is the numerical values of the variable and the other is the frequency BTW: Somebody asked a similar question a few days ago, and Nick Cox answered this question On Fri, Oct 5, 2012 at 1:17 AM, Yuval Arbel <yuval.arbel@gmail.com> wrote: > What about -tabulate-? this will give you exactly what you are asking for > > On Fri, Oct 5, 2012 at 1:10 AM, Daniel Almar de Sneijder > <dasneijder@gmail.com> wrote: >> Uhm yes, but that will give me the mean instead of the proportion...? >> >> On Thu, Oct 4, 2012 at 6:28 PM, kantor.d@att.net <kantor.d@att.net> wrote: >>> Have you tried >>> summarize rrace [weight=RWEIGHT] >>> ? >>> >>> Sent with Verizon Mobile Email >>> >>> >>> ---Original Message--- >>> From: statalist@hsphsun2.harvard.edu >>> Sent: 10/4/2012 5:13 pm >>> To: statalist@hsphsun2.harvard.edu >>> Subject: st: Weighted proportion >>> >>> Dear statalist, >>> >>> Any thoughts on a handy function or command to summarize the weighted >>> proportion? For instance, I have a variable that indicates to which >>> Race a respondent belongs. For example >>> >>> RRACE = 1 if Hispanic >>> RRACE = 2 if White >>> RRACE = 3 if Black >>> RRACE = 4 if Other >>> >>> Additionally I have a variable that weights the respondents (due to >>> oversampling of Hispanic's in my database), call this variable >>> RWEIGHT. >>> >>> Now I want to summarize the weighted proportions of RRACE, i.e. how >>> much % is Hispanic, White, etc. >>> >>> Obviously I can plot a histogram by the command [see below] which will >>> give me an overview of the proportions. >>> >>> histogram rrace [weight = RWEIGHT], discrete width(1) percent >>> >>> My question is: how can I get these proportions into the result window? >>> >>> Thank you! >>> Daniel >>> * >>> * For searches and help try: >>> * http://www.stata.com/help.cgi?search >>> * http://www.stata.com/support/faqs/resources/statalist-faq/ >>> * http://www.ats.ucla.edu/stat/stata/ >>> >>> * >>> * For searches and help try: >>> * http://www.stata.com/help.cgi?search >>> * http://www.stata.com/support/faqs/resources/statalist-faq/ >>> * http://www.ats.ucla.edu/stat/stata/ >> * >> * For searches and help try: >> * http://www.stata.com/help.cgi?search >> * http://www.stata.com/support/faqs/resources/statalist-faq/ >> * http://www.ats.ucla.edu/stat/stata/ > > > > -- > Dr. Yuval Arbel > School of Business > Carmel Academic Center > 4 Shaar Palmer Street, > Haifa 33031, Israel > e-mail1: yuval.arbel@carmel.ac.il > e-mail2: yuval.arbel@gmail.com -- Dr. Yuval Arbel School of Business Carmel Academic Center 4 Shaar Palmer Street, Haifa 33031, Israel e-mail1: yuval.arbel@carmel.ac.il e-mail2: yuval.arbel@gmail.com * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Weighted proportion***From:*Steve Samuels <sjsamuels@gmail.com>

**References**:**RE: st: Weighted proportion***From:*"kantor.d@att.net" <kantor.d@att.net>

**Re: st: Weighted proportion***From:*Daniel Almar de Sneijder <dasneijder@gmail.com>

**Re: st: Weighted proportion***From:*Yuval Arbel <yuval.arbel@gmail.com>

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