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From |
"Nick Cox" <[email protected]> |

To |
<[email protected]> |

Subject |
st: RE: RE: RE: RE: RE: RE: distribution curve with svy |

Date |
Tue, 8 Sep 2009 20:22:46 +0100 |

In addition to -cumul-, -distplot- from STB/SJ has been supporting distribution plots since 1999. -search distplot- to see locations. Nick [email protected] Martin Weiss What happens when you run this example? Works for me... ************** clear* set obs 10000 gen byte dropout=/* */runiform()<0.3 gen pincp=rnormal() gen pwgpt=1+int(10*runiform()) cumul pincp if dropout==1 /* */[fweight=pwgpt], gen(incdrop) line incdrop pincp/* */ if dropout==1, sort ************** Holly Kosiewicz I know Stata is a bit finicky at times, but I just eliminated the space and Stata is still telling me I am using invalid syntax. The space is not the problem. Martin Weiss [mailto:[email protected]] No blank after -gen-! Just " gen(incdrop)" Holly Kosiewicz Thanks very much for your help. It seems as though this command may work. Unfortunately, when I type "cumul pincp if dropout==1 [fweight=pwgpt], gen (incdrop)", stata tells me I am using an invalid syntax. It seems as though I am following the syntax given in the help window for cumul so I can't tell where Stata is finding the error. Martin Weiss [mailto:[email protected]] How about the second example in -help cumul-? Holly Kosiewicz I currently have a dataset that contains a sample of individuals; this dataset also contains a final weight variable that can be used to generate population estimates. I would like to draw a distribution curve of a variable that measures income, by the educational attainment level of the individual. The end goal is to see two distributional curves - each curve representing a population with a specific educational attainment level - one superimposed on the other, and compare them. Ideally, I would make these comparisons based on the population, not on the sample. The first thing that came to mind was a histogram command, but I noticed that the only curve that it can generate is a normal curve. That's not what I want. Then I thought about using a graph twoway scatterplot, but that too does not produce the distributional curve that I want. Any thoughts? * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: distribution curve with svy***From:*Holly Kosiewicz <[email protected]>

**st: RE: distribution curve with svy***From:*"Martin Weiss" <[email protected]>

**st: RE: RE: distribution curve with svy***From:*Holly Kosiewicz <[email protected]>

**st: RE: RE: RE: distribution curve with svy***From:*"Martin Weiss" <[email protected]>

**st: RE: RE: RE: RE: distribution curve with svy***From:*Holly Kosiewicz <[email protected]>

**st: RE: RE: RE: RE: RE: distribution curve with svy***From:*"Martin Weiss" <[email protected]>

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