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| From | "Martin Weiss" <martin.weiss1@gmx.de> |
| To | <statalist@hsphsun2.harvard.edu> |
| Subject | st: RE: making data duplicate in terms of several variables in case of a given variable taking identical values |
| Date | Mon, 5 Jul 2010 21:34:49 +0200 |
<> " I think that the only cases where prefecture, towncode and areacode vary while zipcodes are identical are when prefecture, towncode and areacode are sometimes missing and sometimes not, but I would like to check that before I do the necessary replacements." You have to check those conditions one by one: *********** clear* input str10(zipcode prefecture) int(towncode areacode) "0010027" "hokkaido" 100 1100 "0010029" "hokkaido" 100 1100 "0010029" "" . . "0010030" "hokkaido" 100 1100 "0200822" "iwate" 201 3201 "0200823" "" . . "0200823" "iwate" 201 3201 "0200831" "iwate" 201 3201 end compress li, noo sepby(zipcode) bys zipcode: gen byte prefvaries=prefecture[1]!=prefecture[_N] by zipcode: gen byte townvaries=towncode[1]!=towncode[_N] by zipcode: gen byte areavaries=areacode[1]!=areacode[_N] by zipcode: egen missings=total(mi(prefecture,towncode, areacode)) by zipcode: gen byte onlysomemiss=missings!=_N & missings!=0 drop missings //all conditions fulfilled? gen byte complies=prefvaries+townvaries+areavaries+onlysomemiss==4 li, noo sepby(zipcode) ab(15) *********** HTH Martin -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Ekaterina Hertog Sent: Montag, 5. Juli 2010 20:59 To: statalist@hsphsun2.harvard.edu Subject: st: making data duplicate in terms of several variables in case of a given variable taking identical values Dear all, I have some data which looks like this zipcode prefecture towncode areacode 0010027 hokkaido 100 1100 0010029 hokkaido 100 1100 0010029 . . . 0010030 hokkaido 100 1100 0200822 iwate 201 3201 0200823 . . . 0200823 iwate 201 3201 0200831 iwate 201 3201 I use Stata 11. I would like to make my observations identical in terms of prefecture, towncode and areacode when they are identical in terms of zipcode. I think that the only cases where prefecture, towncode and areacode vary while zipcodes are identical are when prefecture, towncode and areacode are sometimes missing and sometimes not, but I would like to check that before I do the necessary replacements. I looked into duplicate commands, but did not seem to find a good solution. I would be most grateful for any pointers. Sincerely yours, katya * * 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/