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afgdurrani0
‎10-04-2021
  • 103 Posts
  • 42 Likes Given
  • 2 Solutions
  • 5 Likes Received

Re: SAS University Edition, and SAS Desktop version generated differen...

by Pyrite | Level 9 in SAS Programming
‎08-26-2018 04:30 PM
‎08-26-2018 04:30 PM
Do you want me to provide the data too?  ... View more

SAS University Edition, and SAS Desktop version generated different re...

by Pyrite | Level 9 in SAS Programming
‎08-26-2018 01:45 PM
‎08-26-2018 01:45 PM
We are two friends, I use SAS University Edition while my other friend who is away from me using SAS desktop version (I think 9.04). We both run same SAS formula on the same data but we get different results!   SAS desktop Parameter Estimate Approx Std Error Approximate 95% Confidence Limits RLT 0.000248 4.89E-6 0.000238 0.000257 B 1.2604 0.4002 0.4647 2.0562 TU 20.7738 0.2435 20.2897 21.2579   SAS University Edition Parameter Estimate Approx Std Error Approximate 95% Confidence Limits RLT 0.000247 4.772E-6 0.000238 0.000257 B 1.3672 0.4617 0.4492 2.2852 TU 20.7152 0.2387 20.2405 21.1899   Though the changes might seem small to some, but for us it is a big issue since it affects our whole calculation. See the attached files for details. Thanks for the help in advanced.  Respectfully,  Umar   ... View more

Re: A shared folder named "myfolders" was not found on the virtual mac...

by Pyrite | Level 9 in SAS Programming
‎03-15-2018 04:01 PM
1 Like
‎03-15-2018 04:01 PM
1 Like
The problem could be due to "Oracle VM VirtualBox". Try an older version of Oracle VM VirtualBox.  ... View more

Re: WARNING: PROC NLIN failed to converge error

by Pyrite | Level 9 in Statistical Procedures
‎03-12-2018 08:56 AM
2 Likes
‎03-12-2018 08:56 AM
2 Likes
Thanks for the correction. I was making a small mistake (in derivatives as well as in guesses). I should first fix the "A" with the value I need to calculate separately using exponential function. Now the Convergence criterion met successfully.   Thank you very much for your help. I always learn new things at this platform 🙂  ... View more

Re: WARNING: PROC NLIN failed to converge error

by Pyrite | Level 9 in Statistical Procedures
‎03-12-2018 08:01 AM
‎03-12-2018 08:01 AM
I provided multiple guesses but again didn't work. The model adequately fit to my data and provides a best curve line. By the way, along with converge error I also get one more error which is: "WARNING: Maximum number of iterations exceeded"! ... View more

Re: WARNING: PROC NLIN failed to converge error

by Pyrite | Level 9 in Statistical Procedures
‎03-12-2018 06:39 AM
‎03-12-2018 06:39 AM
I received the same error (PROC NLIN failed to converge.) again though I removed above mentioned lines. P.S. Today I learn one new thing that writing derivatives are not essential. It will make my life easy 🙂 ... View more

Re: WARNING: PROC NLIN failed to converge error

by Pyrite | Level 9 in Statistical Procedures
‎03-12-2018 06:23 AM
‎03-12-2018 06:23 AM
You mean I should simply delete these lines:    der.RLT=-0.5*predlcm**C*EXP(A*temp)*(1-EXP(B*(temp-TU)))*time; der.A=-0.5*RLT*predlcm**C*temp*EXP(A*temp)*(1-EXP(B*(temp-TU)))*time; der.B=-0.5*RLT*predlcm**C*EXP(A*temp)*(20-temp)*EXP(B*(temp-TU))*time; der.TU=-0.5*RLT*predlcm**C*EXP(A*temp)*B*EXP(B*(temp-TU))*time; ? ... View more

Re: WARNING: PROC NLIN failed to converge error

by Pyrite | Level 9 in Statistical Procedures
‎03-12-2018 02:42 AM
‎03-12-2018 02:42 AM
Dear Rick_SAS, Could you please write it as Proc statement in a comment? ... View more

WARNING: PROC NLIN failed to converge error

by Pyrite | Level 9 in Statistical Procedures
‎03-11-2018 05:32 AM
‎03-11-2018 05:32 AM
Hello,  How can I resolve the 'PROC NLIN failed to converge.' error? Here is the code:  PROC IMPORT DATAFILE="/folders/myfolders/Brook trout temp-final.xlsx" OUT=brooktrout DBMS=XLSX REPLACE; RUN; title 'Gastric evacuation in brook trout - SQRT model +AC (12.5-20.4)'; data exp; set brooktrout; if expno=1 or expno=2 or expno=4 or expn=5 or expno=6 or expno=7 or expno=8; run; proc nlin data=exp method=marquardt; parms RLT=0.0013 A=0.05 B=0.46 TU=20; C=1.31; R=RLT*predlcm**C*EXP(A*temp)*(1-EXP(B*(temp-TU))); model sqrtstw=sqrtsow-0.5*R*time; der.RLT=-0.5*predlcm**C*EXP(A*temp)*(1-EXP(B*(temp-TU)))*time; der.A=-0.5*RLT*predlcm**C*temp*EXP(A*temp)*(1-EXP(B*(temp-TU)))*time; der.B=-0.5*RLT*predlcm**C*EXP(A*temp)*(20-temp)*EXP(B*(temp-TU))*time; der.TU=-0.5*RLT*predlcm**C*EXP(A*temp)*B*EXP(B*(temp-TU))*time; output out=expp p=pstw r=stw_residual; run; proc summary data=expp; var stw_residual stw; output out=stats css(stw)=sstot uss(stw_residual)=ssres N=N; run; data expp; set stats; rsquared=1-(ssres/sstot); adjrsquared = 1-(1-rsquared)*(N-1) / (N- 3 -1); run; proc print data=expp; run;   ... View more

Re: weighted data vs unweighted data

by Pyrite | Level 9 in Statistical Procedures
‎05-16-2016 01:47 PM
‎05-16-2016 01:47 PM
Thanks Ksharp.   If the rate parameter is estimated using both weighted and unweighted and with unweighted the rate parameter is 0.00128 ± 0.00011 (CI) and 0.00137 ± 0.00018 (CI) with weighted.   So first what does it mean such change in rate parameters? Which one should I use (rate parameter obtained with weighted or unweighted data)?? ... View more

weighted data vs unweighted data

by Pyrite | Level 9 in Statistical Procedures
‎05-11-2016 02:02 PM
‎05-11-2016 02:02 PM
Hello to everyone   What does weighted data and unweighted data mean? What are the importance of weighted data?  ... View more

Re: Estimation of rate parameters g/h

by Pyrite | Level 9 in Statistical Procedures
‎04-22-2016 01:21 PM
‎04-22-2016 01:21 PM
SAS proc that used for estimating the rho of each experments: see the attached pdf file ... View more

Estimation of rate parameters g/h

by Pyrite | Level 9 in Statistical Procedures
‎04-22-2016 01:18 PM
‎04-22-2016 01:18 PM
Generally to estimate the rate of digestion in fish, the experimental group of fish (i.e. 16 fish) are fed with single meal (give feed only one time) of a known amount (g) and then at different time interval their stomach content are recovered till the first empty stomach observed. Now the obtained data are analysis to find the best fit model for it (recovered stomach are plotted at y-axis against time (x-axis).   But we have fed our fish two times rather than only a single time (first were fed at morning 06:00 am and second after 12 hrs) and afterward the stomach contents were recovered with 3 hrs interval. Now the stomach has two meals i.e. some remaining portion of first meal+second meal. Now the challenge is that how to find the rate of each meal separately using the rate parameter (g h-1) of single meal experiments.   Rate parameter obtained from single meal (fed only one time group) is 0.0791 g h-1 wherase the rate paramter obtained from multiple meal experments (from conbined data, considering the remaining portion of first and second meal as St) is 0.0659.   For further detial about equaitons please kindly see the attached file.  ... View more

Re: Size effects

by Pyrite | Level 9 in Statistical Procedures
‎03-14-2016 03:28 AM
‎03-14-2016 03:28 AM
Thanks a lot  PGStats, you did it. It works perfectly 🙂 kind of you ... View more

Re: Size effects

by Pyrite | Level 9 in Statistical Procedures
‎03-13-2016 05:42 PM
‎03-13-2016 05:42 PM
Thanks PG Stats,    I run like that:    FILENAME CSV "/folders/myfolders/Sir nadir.csv" TERMSTR=CRLF; PROC IMPORT DATAFILE=CSV OUT=geumar2 DBMS=CSV REPLACE; RUN; title 'geumar'; data group; set geumar2; run; data group; set geumar2; rename x=t y=S_t; label y="S(t)" x="t"; run; proc nlin data=exp; parms slope_0 = 1.0 intercept_1 = 1.75 intercept_2 = 0.75 exponent = 1.0 ; slope = slope_0*fish_size**exponent; group_1 = (group = 1); group_2 = (group = 2); model S_t = intercept_1*group_1 + intercept_2*group_2 - slope*t; output out=fishPred predicted=p_S_t; run;   it doesn't give any error but it doesn't converge.  WARNING: Step size shows no improvement. WARNING: PROC NLIN failed to converge.   I am sharing a file which has total 6 groups, I edited your constricted proc to include others group too but the mass exponent is -48. According to my data analysis done with hands, it should be near to 0.55.  ... View more
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