Re: ACCEPT question

From: Jill . Fiedler-Kelly Date: July 07, 2011 technical Source: mail-archive.com
Hi Jackie, Typically, the difference between the number of data records (total record count) and the number of observation records is the number of dosing records. Kind regards, Jill > Hi Jill and Manisha, > > Thank you very much for your replies! My problem is probably not due to > (a), > because it gave the same results if I remove all rows with "#" in front. > By > looking at FDATA file and output file, I found actually it reads the > correct > number of data records, but total number of obs records is a bit less > (shown > as below). So what could cause the difference between these two numbers? > > NO. OF DATA RECS IN DATA SET: 1493 > TOT. NO. OF OBS RECS: 1378 > > Many thanks! > > Jackie >
Quoted reply history
> On Wed, Jul 6, 2011 at 3:34 PM, Jill Fiedler-Kelly < > [email protected]> wrote: > >> ** >> Hi Jackie and Manisha, >> >> IF multiple conditions are specified in either the ACCEPT=(list) or >> IGNORE=(list) option on $DATA, they are connected by an implied ".OR." >> operator regardless of whether they are listed within parentheses with a >> comma between the conditions or in separate statements. So, the original >> specification Jackie gives below should, in fact, keep only those >> records >> where DVID=1 OR CYC=1, as intended. >> >> I suspect that the difference between what was expected and what >> actually >> happened has to do with either: (a) the presence of the IGNORE=# option >> or >> (b) the layout of the dataset. >> For case (a), the records with '#" in the first column will be excluded >> given the presence of the IGNORE=# option. In the sample you provided, >> they >> correspond with two of records where DVID=1 (which may have been counted >> in >> the records you expected to keep). >> For case (b), the '.' values in the sample dataset provided in the DV >> and >> MDV columns line up right next to the value in the column to the left >> without a space between and therefore, may not be being read as the next >> column as intended. This would result in all of the columns after the >> '.' >> being off by 1. For example, in row 2 of the sample dataset, it may be >> that >> NONMEM is reading DAY= 1., DV=0, TIME=3, and DVID=1. This would throw >> off >> your counts and can be confirmed by examining the FDATA file. >> >> Kind regards, >> Jill >> >> -- >> Jill Fiedler-Kelly >> VP, Pharmacometric Services & CSO >> Cognigen Corporation >> 395 Youngs Road >> Buffalo, NY 14221 >> (v) 716.633.3463, ext. 228 >> (f) 716.633.7404 >> (e) [email protected] http://www.cognigencorp.com/ >> >> >> >> Manisha Lamba wrote: >> >> Hi Jackie: You are correct that the comma (',') in ACCEPT command works >> as >> an "AND" so in your case it includes only those records which satisfy >> both >> conditions i.e where DVID=1 *and* CYC=1. If you want to evaluate 'OR' >> instead, the only way I can think of is it give multiple ACCEPT >> commands. >> ACCEPT = (CYC.EQ.1) >> ACCEPT = (DVID.EQ.1). >> >> This should include all those records where either condition is true. >> >> Cheers, >> Manisha >> >> >> On Wed, Jul 6, 2011 at 6:59 AM, Jia Ji <[email protected]> wrote: >> >>> Hi, >>> >>> I encounted a problem when using ACCEPT in NONMEM. In my dataset, I >>> want >>> to extract observations with DVID=1 *or* CYC=1. When I used >>> ACCEPT=(DVID.EQ.1,CYC.EQ.1), it gave a total number of obs as the >>> number of >>> obs with CYC=1 only, but much less than the number of obs with either >>> DVID=1 >>> or CYC=1. But if I want to extract observations with DVID=1 *and* >>> CYC=1, >>> it works fine using IGNORE=(DVID.NE.1,CYC.NE.1). So I don't understand >>> why >>> ACCEPT is not working here. I attached a sample of my dataset and >>> control >>> stream. I would highly appreciate any feedback/advice on my question. >>> Thank >>> you very much! >>> >>> Jackie >>> >>> **************************** >>> Dataset >>> >>> #READ ID CYC DAY DV TIME DVID MDV >>> . 49102 1 1 0 0 1 0 . 49102 1 1 . 0 3 1 . 49102 1 8 1 7 1 0 . 49102 >>> 1 >>> 15 0 14 1 0 . 49102 1 22 0 21 1 0 . 49102 2 1 0 42 1 0 # 49102 2 8 . 49 >>> 1 >>> . . 49102 2 8 1 49 3 0 # 49102 2 15 . 56 1 . >>> >>> Control stream >>> >>> $PROBLEM RUN101 >>> $INPUT READ ID CYC DAY DV TIME DVID MDV >>> $DATA ***.csv IGNORE=# ACCEPT=(DVID.EQ.1,CYC.EQ.1) >>> $PRED >>> ... >>> >> >> >> -- >> Jill Fiedler-Kelly >> VP, Pharmacometric Services & CSO >> Cognigen Corporation >> 395 Youngs Road >> Buffalo, NY 14221 >> (v) 716.633.3463, ext. 228 >> (f) 716.633.7404 >> (e) [email protected] http://www.cognigencorp.com/ >> >> >
Jul 06, 2011 Jia Ji ACCEPT question
Jul 06, 2011 Manisha Lamba Re: ACCEPT question
Jul 06, 2011 Jill Fiedler-Kelly Re: ACCEPT question
Jul 07, 2011 Jia Ji Re: ACCEPT question
Jul 07, 2011 Jill . Fiedler-Kelly Re: ACCEPT question