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From |
Clarice Martins <[email protected]> |

To |
[email protected] |

Subject |
Re: st: Doubts on how to better prepare my dataset with -reshape- and -merge_ |

Date |
Mon, 28 Oct 2013 14:07:34 -0200 |

Thank you Roberto! It worked perfectly... Thanks! On Oct 28, 2013, at 1:05 AM, Roberto Ferrer wrote: > Try the -string- option with -reshape- . No need to rename (with your > example, at least): > > *---------------------------- begin code > -------------------------------------------- > clear > input co_id str4 ticker_name str9 return_type returnJun2000 > returnJul2000 returnAug2000 > 1 ABCB formation 0.01 0.2 0.3 > 2 AEDU formation 0.01 0.2 0.3 > 3 AMBV formation 0.01 0.2 0.3 > 1 ABCB buysell 0.01 0.2 0.3 > 2 AEDU buysell 0.01 0.2 0.3 > 3 AMBV buysell 0.01 0.2 0.3 > 1 ABCB holding 0.01 0.2 0.3 > 2 AEDU holding 0.01 0.2 0.3 > 3 AMBV holding 0.01 0.2 0.3 > end > > > rename return_type rtype > > reshape long return, i(co_id rtype) j(yrmonth) string > > order ticker_name, after(co_id) > sort co_id rtype > list, noobs sepby(co_id rtype) abbrev(14) > > > *-------------------------------- end code > ------------------------------------------- > > On Sun, Oct 27, 2013 at 9:47 PM, Clarice Martins > <[email protected]> wrote: >> Red Owl, thank you! >> >> I see your point, and it sounds it will work. >> >> The only question is: i do have 151 return periods to type up year and month... is there another way? >> >>> rename returnJun2000 return200006 >>> rename returnJul2000 return200007 >>> rename returnAug2000 return200008 >> >> >> >> >> >> On Oct 27, 2013, at 6:09 PM, Red Owl wrote: >> >>> Clarice, >>> >>> I am not sure I understand what you want, but perhaps this will >>> do it or give you a conceptual approach: >>> >>> clear >>> input co_id str4 ticker_name str9 return_type returnJun2000 >>> returnJul2000 returnAug2000 >>> 1 ABCB formation 0.01 0.2 0.3 >>> 2 AEDU formation 0.01 0.2 0.3 >>> 3 AMBV formation 0.01 0.2 0.3 >>> 1 ABCB buysell 0.01 0.2 0.3 >>> 2 AEDU buysell 0.01 0.2 0.3 >>> 3 AMBV buysell 0.01 0.2 0.3 >>> 1 ABCB holding 0.01 0.2 0.3 >>> 2 AEDU holding 0.01 0.2 0.3 >>> 3 AMBV holding 0.01 0.2 0.3 >>> end >>> >>> rename return_type rtype >>> rename returnJun2000 return200006 >>> rename returnJul2000 return200007 >>> rename returnAug2000 return200008 >>> >>> reshape long return, i(co_id rtype) j(yrmonth) >>> >>> order ticker_name, after(co_id) >>> sort co_id rtype >>> list, noobs sepby(co_id rtype) abbrev(14) >>> >>> >>> Red Owl >>> [email protected] >>> >>> >>>>> >>>>> Clarice Martins wrote: >>> >>> I have: >>> - dataset that is wide >>> - i couldn't figure out how to transform it to long using -reshape- >>> because there is 3 variables that uniquely define an observation: co_id >>> (an id per company), period (a month and year period for each >>> observation), and type_return (there are 3 different types of return and >>> for each there is an observation per company, per period) >>> - dataset looks like this: >>> >>> co_id ticker_name return_type returnJun2000 returnJul2000 returnAug2000 >>> (and so on) >>> 1 ABCB formation 0.01 0.2 0.3 >>> 2 AEDU formation 0.01 0.2 0.3 >>> 3 AMBV formation 0.01 0.2 0.3 >>> 1 ABCB buysell 0.01 0.2 0.3 >>> 2 AEDU buysell 0.01 0.2 0.3 >>> 3 AMBV buysell 0.01 0.2 0.3 >>> 1 ABCB holding 0.01 0.2 0.3 >>> 2 AEDU holding 0.01 0.2 0.3 >>> 3 AMBV holding 0.01 0.2 0.3 >>> * >>> * 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/ * * 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/

**References**:**RE: st: Doubts on how to better prepare my dataset with -reshape- and -merge_***From:*Red Owl <[email protected]>

**Re: st: Doubts on how to better prepare my dataset with -reshape- and -merge_***From:*Clarice Martins <[email protected]>

**Re: st: Doubts on how to better prepare my dataset with -reshape- and -merge_***From:*Roberto Ferrer <[email protected]>

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