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From |
Lars Folkestad <lfolkestad@health.sdu.dk> |

To |
"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |

Subject |
Re: st: age: factor variables may not contain noninteger values |

Date |
Tue, 8 Nov 2011 20:29:31 +0100 |

Thank you for that jesper. It sure did the trick. lars Den 08/11/11 13.17 skrev "Jesper Lindhardsen" <JESLIN01@geh.regionh.dk>: >Hi Lars, > >Try > > >g new_age= round(age_var,1) > > >HTH, > >Jesper > >-----Original Message----- >From: owner-statalist@hsphsun2.harvard.edu >[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Lars >Folkestad >Sent: 08 November 2011 12:14 >To: statalist@hsphsun2.harvard.edu >Subject: Re: st: age: factor variables may not contain noninteger values > >This helps a lot. >Thank you. > >But i have a question about the second point. >Is there a quick and easy way to round the age to the nearest integer >value? I could use the floor / ceil functions, but some of the ages >Should be rounded up and some should be rounded down. > >lars > >Den 08/11/11 11.40 skrev "Maarten Buis" <maartenlbuis@gmail.com>: > >>On Tue, Nov 8, 2011 at 11:13 AM, Lars Folkestad wrote: >>> I am trying to investigate the interactions between age and a >grouping >>>variable in a regression model, using this code: >>> >>> xi: regress Var1 age##i.group >>> >>> Var1: is a continuous variable >>> Age: is a continous variable / float >>> >>> When i run the code i get the following error message: >>> age: factor variables may not contain noninteger values >> >>First, you are mixing -xi- and factor variable notation. You should >>just leave the -xi:- prefix away. >> >>Second, in most surveys I am aware of age will be measured in whole >>years. In those cases age should only contain integer values and this >>error message means I made an error while preparing the data. This is >>true regardless of how the data is stored. However, this is not >>necessarily an error, you could have fractional age if you had for >>instance exact birth dates and exact dates at which events of interest >>happen. Alternatively, I may have standardized age or rescaled it so >>it is measured in decades rather than years. However, in the latter >>two cases I would have created new with different variable names >>(probably z_age and age_d). So I would check whether non-integer age >>would make sense given the way your data was collected. >> >>Third, whether there is an error or not you probably want -regress >>var1 c.age##i.group- i.e. tread age as a continuous variable and not >>as a set of dummies. >> >>Hope this helps, >>Maarten >> >>-------------------------- >>Maarten L. Buis >>Institut fuer Soziologie >>Universitaet Tuebingen >>Wilhelmstrasse 36 >>72074 Tuebingen >>Germany >> >> >>http://www.maartenbuis.nl >>-------------------------- >> >>* >>* 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/ > > >* >* 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/ > >* >* 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/ * * 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/

**Follow-Ups**:**Re: st: age: factor variables may not contain noninteger values***From:*Nick Cox <njcoxstata@gmail.com>

**References**:**RE: st: age: factor variables may not contain noninteger values***From:*"Jesper Lindhardsen" <JESLIN01@geh.regionh.dk>

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