I would like to know how to manipulate dates and hours at the same time. I have a data base which I seized under Epidata Entry and who understand variables dates and the hour of entrance for the delivery and date and the hour for the delivery. The hour I made two numeric variables, the hour and minutes. Now how to make to have the difference in the hour or in minutes? The problem does not settlewhen the delivery with place the same day. But the problem when there is gap For example: DAR Date of arrival <10/01/2007> HAR Arrival time 13 MAR Minute of arrival 45
DAC Dates delivery <12/01/2007> HAC Hour of delivery 02 MAC Minutes of delivery 34
Under SPSS, the manipulation is easy, I would like to know if under Epidata Analysis we can do the same with these temporal data. Should the opposite occur it would be necessary to think of introducing this module into the final version of this magnificent software.
___________________________________________ Dr Jean-Paul DIBY-KONAN Médecin Santé Publique MCM Santé de la Reproduction Institut Médecine Tropicale Kapucinessenstraat 8 B-2000 Anvers Belgique
----- Message d'origine ---- De : "epidata-list-request@lists.umanitoba.ca" epidata-list-request@lists.umanitoba.ca À : epidata-list@lists.umanitoba.ca Envoyé le : Mardi, 13 Mars 2007, 18h10mn 43s Objet : EpiData-list Digest, Vol 41, Issue 7
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Today's Topics:
1. deleted and excluded records (epidata-list@lists.umanitoba.ca) 2. Re: deleted and excluded records (epidata-list@lists.umanitoba.ca)
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Message: 1 Date: Tue, 13 Mar 2007 08:16:27 +0100 (CET) From: epidata-list@lists.umanitoba.ca Subject: [EpiData-list] deleted and excluded records To: epidata-list@lists.umanitoba.ca Message-ID: 52289.130.226.78.129.1173770187.squirrel@webmail.webhosting.dk Content-Type: text/plain; charset=iso-8859-1
Continued discussion on this topic:
The suggested solution I gave could be clarified:
1. Dates before year approx. 1700-1800 give problems in Analysis now, but obviously should not. Although as everyone probably know there is a shift around 15xx (I do not remember the exact year).
2. The suggestion: "SUGGESTION: Would it not be possible for Analysis to assign a standard valid value (e.g. 01/01/1900) to any invalid dates it comes across during the read process. "
Will be used in the next build of analysis, since it is very easy to implement. Obviously with a message to the user. I think this can be done in 5 minutes of work time in the programming, whereas the optimal solution of showing variable/field name and record is a large job - could be 1-2 days of work, since the function controlling the date value is not knowing neither the name of the field nor the record. But I will add the issue to the work plan for a solution at some point.
Regarding the "excluded" versus "deleted" is also easy. The user can control whether records deleted are read or not by: set read deleted=on set read deleted=off
The change works only when reading the file, so if you change re-read the file again. e.g. set read deleted = off read myfile describe age set read deleted = on read myfile /close describe age // here records marked for deletion are included.
off is default. There is an error in v1 b68 in relation to this setting, such that if you read the file with "set read deleted=off" and then do an "update", you will see the records marked for deletion. The error has been found and a solution will be shown in next test release.
regards Jens Lauritsen
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Message: 2 Date: Tue, 13 Mar 2007 09:43:23 +0200 From: epidata-list@lists.umanitoba.ca Subject: Re: [EpiData-list] deleted and excluded records To: epidata-list@lists.umanitoba.ca Message-ID: 44e66f9b0703130043t1911363ev728eaea2e245ef85@mail.gmail.com Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Thanks for the quick response to my email.
I would just like to clarify my suggestion re "excluded" and "deleted" records. The issue is not about whether one can control reading deleted records or not (as Jens' response implies). My point was that if one is not aware that records have been deleted, it would be more informative on reading the dataset in Analysis if the message specifically states that x records have been deleted (and are therefore excluded). Using the word "excluded" suggests that Analysis has a problem with some values and therefore has excluded the records. One could spend quite some time trying to identify the problem before realising that these are merely records that have been deleted.
On the point of deleted records, is there some way in Analysis of identifying records which had been deleted (but which one has chosen to include in the analysis). In EpiInfo, there was a system variable RECDELETED. Also, in browse/update mode, deleted records were identifiable by an asterisk. This was very useful in trying to sort out why records had been deleted.
Thanks again, Annemieke van Middelkoop
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