2 weeks ago
Boriana
Obsidian | Level 7
Member since
03-14-2017
- 17 Posts
- 25 Likes Given
- 1 Solutions
- 3 Likes Received
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Latest posts by Boriana
Subject Views Posted 5170 01-17-2019 04:04 AM 5181 01-17-2019 03:14 AM 5228 01-16-2019 09:34 AM 4899 09-14-2018 03:59 AM 4951 09-10-2018 08:33 AM 4979 09-10-2018 07:05 AM 3085 05-28-2018 07:05 AM 3155 05-25-2018 11:20 AM 3162 05-25-2018 11:02 AM 3213 05-25-2018 07:08 AM -
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- Posted Re: Unable to allocate sufficient memory in proc quantreg on Administration and Deployment. 01-17-2019 04:04 AM
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- Posted Re: Marginal contribution of each variable in logistic regression on Statistical Procedures. 09-14-2018 03:59 AM
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Subject Likes Posted 2 05-28-2018 07:05 AM 1 01-05-2018 03:19 AM
01-17-2019
04:04 AM
I thing this is 32bit version with some emulation of 64bit, but in core it is 32bit. My version is 9.4. I use SAS Analytics modules. The print screen of my version is in picture. But it is written that my version is 32bit.
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01-17-2019
03:14 AM
I put additionally 8GB, but error still persist. By looking in memory occupation in task manager during running of procedure I notice that it occupied only 2GB. The memory size is changed to 12GB in SAS config. But it is not occupied. It should be set memory size by command or something else. SAS is not allocate dedicated RAM for computing.
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01-16-2019
09:34 AM
I'm running proc quantreg with 2 independent variables over 12555029 cases. The error for insufficient memory is appear: ERROR: Unable to allocate sufficient memory. At least 1177035K bytes were requested, but only 786430K were available. You must either increase the amount of memory available, or approach the problem differently. I have 8GB RAM. I check memsize and receive the next: Group=MEMORY SORTSIZE=268435456 Specifies the amount of memory that is available to the SORT procedure. SUMSIZE=0 Specifies a limit on the amount of memory that is available for data summarization procedures when class variables are active. MAXMEMQUERY=0 Specifies the maximum amount of memory that is allocated for procedures. MEMBLKSZ=16777216 Specifies the memory block size for Windows memory-based libraries. MEMMAXSZ=2147483648 Specifies the maximum amount of memory to allocate for using memory-based libraries. LOADMEMSIZE=0 Specifies a suggested amount of memory that is needed for executable programs loaded by SAS. MEMSIZE=4294967295 Specifies the limit on the amount of virtual memory that can be used during a SAS session. REALMEMSIZE=0 Specifies the amount of real memory SAS can expect to allocate. The option sasv9.cfg in sas is 6GB. But the same error appear with different sises there. Do you know that if I increase my RAM the problem will be solved.
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09-14-2018
03:59 AM
Yes, I know that Standardized Estimate can be used, but we received question for other estimation on this topics.
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09-10-2018
08:33 AM
Thank you for the answer. Did you know the simple explanation of the Standardized Estimate in the logistic regression model?
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09-10-2018
07:05 AM
Can I estimate the marginal contribution of each variable in logistic regression by Standardized Estimate, received in stb option? Can I calculate marginal contribution of variables by other options or formula?
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05-28-2018
07:05 AM
2 Likes
It worked! Thank you very much for your answer! I did not check the log for the FINANCE function. It did not return an error. I apologize for not pasting the log as requested. I will be more considerate next time. Sorry again!
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05-25-2018
11:20 AM
For Base SAS Software ... Custom version information: 9.4_M1 Image version information: 9.04.01M1P120413 For SAS/STAT ... Custom version information: 13.1 For SAS/GRAPH ... Custom version information: 9.4_M1 For SAS/IML ... Custom version information: 13.1 For High Performance Suite ... Custom version information: 2.2 Image version information: 9.04.01M0P022614 For SAS/ACCESS Interface to ODBC ... Custom version information: 9.4_M1
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05-25-2018
11:02 AM
I have SAS version 9.4. The code suggested by you returned the same error.
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05-25-2018
07:08 AM
Does the PMT function included in the SAS Analytics Pro? I receive an error when use in data step: ERROR 68-185: The function PMT is unknown, or cannot be accessed
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01-05-2018
03:19 AM
1 Like
Thank you for the book provided!!!
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04-11-2017
04:58 AM
Do you know if there are any limitation of this procedure? For the number of constraints, for size of datasets? Does it depend from RAM of the computer?
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04-10-2017
10:05 AM
Hi, We trying to solve the next optimization problem? We have: Pij, i=1÷3, j=1÷30, Pij are positive Bi, i=1÷3, integer positiveConstraints: The searching result is matrix of 3 x 30 of binary values Xij with next conditions: For each j =1÷30, Sum (by index of i=1÷3)Xij=1 For each i =1÷3, Sum by index of (j=1÷3o)Xij≤Bi Objective: Optimize: Maximize (Sum (by index of i=1÷3) Sum (by index of j=1÷30) Pij *Xij)Is there another predefined subroutine in SAS/IML which can be used to solve this problem? We haven’t the SAS/OR. The suggested solution from Rick_SAS was to convert this to linear optimization programing. You can see here the solution. Linear optimization in SAS/IML In real situation we for j index we have 30000, not only 30. The matrix became too large. It is not possible to solve it by SAS/IML. The limitation there is 200 constraints, which is too few. We haven’t SAS/OR yet. My question concerns the limitation of constraints and the size of matrix in SAS/OR? Is it possible to work with matrix size of 90000 x 30000. How many constraints there can have? Is it possible to solve this task with another procedure, not with linear programing in SAS/OR? Thanks, Boriana
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03-16-2017
11:38 AM
Thank you again.
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03-16-2017
11:12 AM
Thank you for the solution. It is worked!!! We have to applie for the large number of customers. When I check the same with this data I receive the next: ERROR: The number of variables or constraints exceeds 500 limit, which will require a SAS/OR product license. ERROR: Either the SAS/OR product with which MILPSOLVE is associated is not licensed for your system or the product license has expired. Please contact your SAS installation representative. Is it possible to extend this size of constraints by setting for SAS/IML?
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