About soumri

soumri · ‎12-09-2016

Yes, you are absolutely right. For the tracing of the curve "t" is set to pitch values of 5 starting from 5 to 305. Let me explain, In fact the values of P are productions calculated from the parameters a b and c. P evolves according to time "t" and I can follow the tendency with a curve. What I seek is to put on a single graph the productions of individuals who started their activity in January, those of February etc ... but different axes with steps of 1 month. Thank you for your interest in my question.

soumri · ‎12-09-2016

Yes, unfortunately, this is the only version we have in our lab. I downloaded SAS University Edition but I did not find myself comfortable with it.

soumri · ‎12-09-2016

Hi, I have a function of the form: P=a*(t**b)*exp(-c*t) What I'm looking for is how to draw different curves depending on the month of the beginning of the action and have a tracing that looks like the attached model. My data are as follows: Id a b c month P a ranges from 3 to 50 and mean=13 b ranges from 0.01 to 1 and mean=0.27 c ranges from 0.0001 to 0.04 and mean=0.0045 t ranges from 1 to 305. The curves to be plotted do not interest each id but id groups that have the same month of the beginning of the action. My SAS version is 9.0 Thanks in advance.

soumri · ‎07-11-2016

@PGStats Thank you very much PGstats for wealthy enough information that you have provided me, in addition, there is a fairly long conversation entitled "Adjusted R^2 (adjusted R square)" which contains the answer to my question with further details.

soumri · ‎07-08-2016

Hello everyone, I used a Proc NLIN to fit a nonlinear function, but as this regression has no intercept, I have no R². I think, in this case, the adjusted R² is used [R²a = 1-SS (residuel) / SS (corrected total)], (mentioned in several publications). is anybody can help me to calculate it.

soumri · ‎06-11-2016

@PGStats@FreelanceReinh Hello PGStats; do you explain me please the utility of using a proc fcmp, while the concept proposed by @FreelanceReinhard renders results numerically equal. What is the difference. Thank you for your help.

soumri · ‎06-10-2016

data want;set have; r=0; do t = 1 to 150; r + al * (t ** bl) * exp (-cl * t); end; run; it's ok

soumri · ‎06-10-2016

@FreelanceReinhard Yes, it's true, it works correctly. thank you very much very nice to participate.

soumri · ‎06-10-2016

Yes PG Stats, sure, I should do it , when strong people like you offered me some great solutions to my problems. thank you so much. Just an explanation, for people who are interested to my question; This solution is interesting for the calculation of the cumulative amount that changes with time. in my case I use it to calculate the amount of milk production at different date using the wood or Wilmink function. thank you again PG stats, and good luck readers.

soumri · ‎06-10-2016

Thank you for your reponce PG, Sorry, I think that the SAS version that I have (9.0) does not include the procedure FCMP and Second, you set the values of a, b and c where as in my data file these values change from one line to another. this is how my file looks: id a b c T0600021251 16.79361 0.04351 0.00253 T2100050954 10.62616 0.24511 0.00231 T2100071545 12.54940 0.21685 0.00301 T2300051246 15.35562 0.15303 0.00306 T2300051372 21.58488 0.05164 0.00168 T2300051449 24.43391 0.00001 0.00269 T2300051462 14.47446 0.18741 0.00365 T2300051496 32.75656 0.00001 0.00236 T2300051533 19.42636 0.00001 0.00212 T2300051540 20.75340 0.04351 0.00229 T2300051622 8.27472 0.25447 0.00237 T2300051655 7.73511 0.31439 0.00418 T2300051846 8.87238 0.26569 0.00306 T2300051849 26.85240 0.00001 0.00127 T2300056142 10.45094 0.32418 0.00475 T2300057352 22.15670 0.03133 0.00310 T2300058009 15.46157 0.12580 0.00212 … 30588 different id.

soumri · ‎06-09-2016

Hello; I have the incomplete gamma function (IGF) which is: Y = a * (t ** b) * exp (-c * t) and a data like this: id a b c what I am looking for is to calculate P150 which is the sum of Yt from t=1 to t=150 using params a b and c and get this: id a b c P150 is there a method, with SAS, which allows me to do this without using Excel (which I often do). I always found help in this forum. Thank you in advance.

soumri · ‎06-07-2016

Hello everybody; I ask if there is a method in SAS, which allows to assign a missing value of a variable x in a Table A, a value y from a table B which contains common values and of course under some conditions, like this for exemple: Table A: ID CM NE Rank X BV012 1 1 1 12.5 BV012 1 1 2 . BV012 1 1 3 13.0 BV012 11 3 1 . BV012 11 3 2 13.4 BV012 11 3 3 11.8 BV013 6 2 1 10.9 BV013 6 2 2 09.6 BV013 6 2 3 09.5 BV013 6 2 4 . BV017 1 1 1 22.1 BV017 1 1 2 17.8 CM=mounth (1,..12) NE=order activity (1,2 or 3) Rank=rank (from 1 to 20) TABLE B: ( common values) given by mounth (CM): Mounth NE RANK Y 1 1 1 15.5 1 1 2 18.3 1 1 3 17.2 ... ... ... ... 1 1 20 03.5 ---------------------------------------------- 1 2 1 15.8 ... ... ... ... 1 2 20 03.4 ---------------------------------------------- ... ... ... ... 1 3 20 07.3 ---------------------------------------------- 2 1 1 22.3 ... ... ... ... ---------------------------------------------- ... ... ... ... ... ... ... ... ---------------------------------------------- 12 3 20 05.5 what i want: if x from table A = "." then x= y from table B for the same mounth=(1,2,...12), for the same NE=(1,2,3) and for the same Rank = (1,2,... 20). I did it but it was a very long code. Is there a shorter method with proc sql for exemple. thanks.

soumri · ‎06-05-2016

dear PGStats; Yes, yes.. it works very well. Thanks a lot.

soumri · ‎06-05-2016

Hi there; i need a help please: my data is like this: id ne dv v 01 1 12/03/2008 v 01 1 12/03/2008 v 01 1 12/03/2008 v 01 1 12/03/2008 v 01 3 05/12/2012 v 01 3 05/12/2012 v 01 3 05/12/2012 v 02 1 31/01/2009 v 02 1 31/01/2009 v 02 1 31/01/2009 v 02 2 05/04/2011 v 02 2 05/04/2011 v 02 2 05/04/2011 v 02 2 05/04/2011 v 02 3 11/09/2003 v 02 3 11/09/2003 v 08 2 03/06/2014 v 08 2 03/06/2014 what i want: id ne dv dv_1 dv_2 dv_3 v 01 1 12/03/2008 12/03/2008 . 05/12/2012 v 01 1 12/03/2008 12/03/2008 . 05/12/2012 v 01 1 12/03/2008 12/03/2008 . 05/12/2012 v 01 1 12/03/2008 12/03/2008 . 05/12/2012 v 01 3 05/12/2012 12/03/2008 . 05/12/2012 v 01 3 05/12/2012 12/03/2008 . 05/12/2012 v 01 3 05/12/2012 12/03/2008 . 05/12/2012 v 02 1 31/01/2009 31/01/2009 05/04/2011 11/09/2003 v 02 1 31/01/2009 31/01/2009 05/04/2011 11/09/2003 v 02 1 31/01/2009 31/01/2009 05/04/2011 11/09/2003 v 02 2 05/04/2011 31/01/2009 05/04/2011 11/09/2003 v 02 2 05/04/2011 31/01/2009 05/04/2011 11/09/2003 v 02 2 05/04/2011 31/01/2009 05/04/2011 11/09/2003 v 02 2 05/04/2011 31/01/2009 05/04/2011 11/09/2003 v 02 3 11/09/2003 31/01/2009 05/04/2011 11/09/2003 v 02 3 11/09/2003 31/01/2009 05/04/2011 11/09/2003 v 08 2 03/06/2014 . 03/06/2014 . v 08 2 03/06/2014 . 03/06/2014 . ne= measurement order dv = date of a measurement therefore, the table want should contain 3 new variables (dv_1 dv_2 and dv_3). dv_1 contains the dates that correspond to ne= 1; dv_2 contains the dates that correspond to ne= 2; dv_3 contains the dates that correspond to ne= 3; help me please.

soumri · ‎06-02-2016

very nice; I tried things much more complicated. thank you.

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