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Re: creating new variables

by abdelrhman elmubarak :: Rate this Message:

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Thank you very much  Richard !!!!... this is exactly what I want , thanks also to  Ariel   and Melissa.

Regards

Abdulrahman


 

Date: Tue, 12 May 2009 00:48:27 -0400
To: abdelrhmm@...; SPSSX-L@...
From: wrristow@...
Subject: Re: creating new variables
CC: mives@...; abarakabarak@...

At 04:36 AM 5/7/2009, abdelrhman elmubarak wrote:

my data looks as below
The posted data, extended for this reply:
|-----------------------------|---------------------------|
|Output Created        &       |12-MAY-2009 00:39:31       |
|-----------------------------|---------------------------|
[Input]
 id Repair_Date Repair_Type   money

 16  2009/04/30     115      $23.00
 30  2009/03/25     209      $45.00
 30  2009/01/24     103      $62.00
 47  2009/04/09     209      $78.00
 47  2009/04/09     101      $69.00
 50  2009/05/01     117      $41.00
 50  2009/05/01     209      $75.00
 50  2009/05/01     105      $15.00
 51  2009/05/15     110      $62.00
 51  2009/05/15     209      $51.00
 51  2009/05/15     103      $67.00
 51  2009/05/15     209      $50.00
 51  2009/05/15     111      $84.00


Number of cases read:  13    Number of cases listed:  13

I want to create two more variables for those  who  did repair type 209…the purpose is to know did they did more jobs on the same day of their visit and what the money generated from that. At the final my data should look as below
|-----------------------------|---------------------------|
|Output Created        &       |12-MAY-2009 00:39:31       |
|-----------------------------|---------------------------|
[Desired]
 id Repair_Date Repair_Type   money more_jobs_plus more_money_plus

 16  2009/04/30     115      $23.00         .              .
 30  2009/03/25     209      $45.00         0              .
 30  2009/01/24     103      $62.00         .              .
 47  2009/04/09     209      $78.00         1           $69.00
 47  2009/04/09     101      $69.00         .              .
 50  2009/05/01     117      $41.00         .              .
 50  2009/05/01&n bsp;    209      $75.00         2           $56.00
 50  2009/05/01     105      $15.00         .              .
 51  2009/05/15     110      $62.00         3          $198.00
 51  2009/05/15     209      $51.00         .              .
 51  2009/05/15     103      $67.00         .              .
 51  2009/05/15     209      $50.00         3          $198.00
 51  2009/05/15     111      $84.00         .              .


Number of cases read:  13    Number of cases listed:  13


At 11:02 AM 5/11/2009, Ariel Barak wrote:
 
The following syntax works with the data you posted and will take care of multiple repairs. If there are multiple repair types of 209 on a given day, the syntax would not work properly.

Here's a variation. Like Ariel's, it's based on AGGREGATE. If there are multiple repairs of type 209 on the same day, it puts the same values of more_jobs_plus and more_money_plus on all type-209 lines: the number of all services not type 209, and total money from all such services.

IF Repair_Type NE 209 more_jobs_plus  = 1.
IF Repair_type NE 209 more_money_plus = money.

AGGREGATE OUTFILE=* MODE=ADDVARIABLES OVERWRITE = YES
      /BREAK           = id Repair_Date
      /more_jobs_plus  'Number of services not type 209'  =
   SUM(more_jobs_plus)
      /more_money_plus 'Money from services not type 209' =
   SUM(more_money_plus).

FORMATS more_jobs_plus  (F3)
       /more_money_plus (DOLLAR7.2).
 
IF Repair_Type NE 209 more_jobs_plus  = $SYSMIS.
IF Repair_type NE 209 more_money_plus = $SYSMIS.

LIST.

List
|-----------------------------|---------------------------|
|Output Created        &       |12-MAY-2009 00:39:32       |
|-----------------------------|---------------------------|
 id Repair_Date Repair_Type   money more_jobs_plus more_money_plus

 16  2009/04/30     115      $23.00         .              .
 30  2009/03/25     209      $45.00   & nbsp;     .              .
 30  2009/01/24     103      $62.00         .              .
 47  2009/04/09     209      $78.00         1           $69.00
 47  2009/04/09     101      $69.00         .              .
 50  2009/05/01     117      $41.00         .              .
 50  2009/05/01     209      $75.00         2           $56.00
 50  2009/05/01     105      $15.00         .              .
 51  2009/05/15     110      $62.00         .              .
 51  2009/05/15     209      $51.00         3          $213.00
 51  2009/05/15     103      $67.00         .       &n bsp;      .
 51  2009/05/15     209      $50.00         3          $213.00
 51  2009/05/15     111      $84.00         .              .

Number of cases read:  13    Number of cases listed:  13
=============================
APPENDIX: Test data, and code
=============================
DATA LIST LIST/
     id     Repair_Date  Repair_Type     money
    (F3,    F10,         F3,    F4). 
BEGIN DATA
     16     20090430     115     23
     30     20090325     209     45
     30     20090124     103     62
     47     20090409     209     78
     47     20090409     101     69
     50     20090501     117     41
     50     20090501     209     75
     50     20090501     105     15
     51     20090515     110     62
 &nb sp;   51     20090515     209     51
     51     20090515     103     67
     51     20090515     209     50
     51     20090515     111     84
END DATA.
.  /**/  LIST  /*-*/.

*  Convert Repair_Date to an SPSS date variable: .... .

COMPUTE    #Day      = MOD(Repair_Date,100).
COMPUTE    #Month    = MOD((Repair_Date-#Day)/100,100).
COMPUTE    #Year     = (Repair_Date-100*#Month-#Day)/1E4.
COMPUTE    #SPSSdate = DATE.DMY(#Day,#Month,#Year).

FORMATS    #Day #Month #Year (F4)
          /#SPSSdate         (SDATE10).


COMPUTE    Repair_Date = #SPSSdate.
FORMATS    Repair_Date (SDATE10).

FORMATS    money       (DOLLAR7.2).
DATASET NAME Input.
LIST.

DATA LIST LIST/
     id  Repair_Date  Repair_Type money  more_jobs_plus more_money_plus
    (F3, F10,         F3,         F4,    F3,            F3). 
BEGIN DATA
     16  20090430      115      23             
     30  20090325      209      45 &nbs p;               0
     30  20090124      103      62
     47  20090409      209      78                  1      69
     47  20090409      101      69     
     50     20090501     117     41
     50     20090501     209     75    2 56
     50     20090501     105     15
     51     20090515     110     62    3 198
     51     20090515     209     51
     51     20090515     103     67
     51     20090515     209     50   3 198
     51     20090515     111     84
END DATA.


*  Convert Repair_Date to an SPSS date variable: .... .

COMPUTE    #Day      = MOD(Repair_Date,100).
COMPUTE    #Month    = MOD((Repair_Date-#Day)/100,100).
COMPUTE    #Year     = (Repair_Date-100*#Month-#Day)/1E4.
COMPUTE    #SPSSdate = DATE.DMY(#Day,#Month,#Year).

FORMATS    #Day #Month #Year (F4)
          /#SPSSdate         (SDATE10).

COMPUTE    Repair_Date = #SPSSdate.
FORMATS    Repair_Date  (SDATE10).

FORMATS    money more_money_plus     
                        (DOLLAR7.2).
DATASET NAME Desired.
LIST.


*  ....   Calculate the desired new variables                    .... .

NEW FILE.
ADD FILES
  /FILE=Input.

*  A. Compute the 'extra' cost individually for those services   .... .
*     that are *not* type 209.                                   .... .

IF Repair_Type NE 209 more_jobs_plus  = 1.
IF Repair_type NE 209 more_money_plus = money.

AGGREGATE OUTFILE=* MODE=ADDVARIABLES OVERWRITE = YES
      /BREAK           = id Repair_Date
      /more_jobs_plus  'Number of services not type 209'  = 
   SUM(more_jobs_plus)
      /more_money_plus 'Money from services not type 209' =
   SUM(more_money_plus).

FORMATS more_jobs_plus  (F3)
       /more_money_plus (DOLLAR7.2).

.  /**/  LIST  /*-*/.


IF Repair_Type NE 209 more_jobs_plus  = $SYSMIS.
IF Repair_type NE 209 more_money_plus = $SYSMIS.

LIST.



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