[gmx-users] g_analyze -ee

2012-02-24 Thread dina dusti
Dear Gromacs Specialists,

I have one problem about g_analyze -ee, May I ask you to help me, Please?
When I do this program as g_analyze -f .xvg -av -ee, it is as followed:

Read 4 sets of 83001 points, dt = 6

  std. dev.    relative deviation of
   standard   -   cumulants from those of
set  average   deviation  sqrt(n-1)   a Gaussian distribition
  cum. 3   cum. 4
SS1   1.811675e+00   1.585145e-02   5.502120e-05   0.416    0.334
SS2   1.476938e+00   5.370597e-02   1.864162e-04   0.011   -0.009
SS3   1.482869e+00   5.208019e-02   1.807730e-04  -0.010   -0.034
SS4   1.475204e+00   5.259068e-02   1.825449e-04   0.012   -0.089


Back Off! I just backed up average.xvg to ./#average.xvg.2#
Set   1:  err.est. 0.00042  a 0.402275  tau1 14.2321  tau2 255.692
Set   2:  err.est. 0.002757  a 0.870111  tau1 592.695  tau2 1081.59
Warning: tau2 is longer than the length of the data (498000)
 the statistics might be bad
invalid fit:  e.e. 0.476411  a 0.999161  tau1 572.985  tau2 2.48396e+10
Will fix tau2 at the total time: 498000
Set   3:  err.est. 0.00341541  a 0.998996  tau1 571.479  tau2 498000
Set   4:  err.est. 0.00360836  a 0.984581  tau1 578.453  tau2 39087.7



Then, I studied this article: J. Chem. Phys. 116, 209 (2002)
In it has been written  There are restrictions on the range of the fitting 
parameters: a should be between 0 and 1 and tau1 and tau2 should be 
larger than 0. When the longest correlation time, tau2 , is longer than the 
averaging interval and (1-a) tau2 is not negligible compared to a tau1 , 
there is not enough statistics to estimate the error.

I thought that my problem is related to frequency to write coordinates and the 
other outputs to output trajectory file, then I changed it from 200 to 2000 in 
md.mdp file, but when I did g_analyze, again I took warning as following:

Read 4 sets of 8001 points, dt = 60

  std. dev.    relative deviation of
   standard   -   cumulants from those of
set  average   deviation  sqrt(n-1)   a Gaussian distribition
  cum. 3   cum. 4
SS1   1.811686e+00   1.577702e-02   1.763924e-04   0.422    0.376
SS2   1.476945e+00   5.345846e-02   5.976838e-04   0.004   -0.014
SS3   1.482819e+00   5.253597e-02   5.873700e-04   0.002   -0.034
SS4   1.475254e+00   5.289252e-02   5.913564e-04   0.021   -0.084


Back Off! I just backed up average.xvg to ./#average.xvg.1#

Back Off! I just backed up errorgyrate1.xvg to ./#errorgyrate1.xvg.1#
Set   1:  err.est. 0.000415045  a 0.741181  tau1 93.389  tau2 374.375
Set   2:  err.est. 0.00283072  a 0.964747  tau1 629.293  tau2 1869.63
a fitted parameter is negative
invalid fit:  e.e. 0.0025708  a 1.01686  tau1 576.241  tau2 663.907
Will fix tau2 at the total time: 48
Set   3:  err.est. 0.00469726  a 0.997164  tau1 558.935  tau2 48
Set   4:  err.est. 0.00371208  a 0.969329  tau1 551.965  tau2 21102.3

I don't know that where is my mistake and what thing should I change for fix of 
this warning!

Please help me.
Best Regards
Dina-- 
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[gmx-users] g_analyze -ee

2012-02-20 Thread dina dusti
Dear Justin,

Thank you very much from your response.

OK, but is it important? Because these warnings are appeared some where, not 
for all of calculations. For example, these are appeared for gyrate.xvg and not 
for moment.xvg!

Thank you again from your help and excuse me from my delay for thank from you.

Best Regards
Dina



 From: Justin A. Lemkul jalem...@vt.edu
To: dina dusti dinadu...@yahoo.com; Discussion list for GROMACS users 
gmx-users@gromacs.org 
Sent: Saturday, February 18, 2012 5:29 PM
Subject: Re: [gmx-users] g_analyze -ee
 


dina dusti wrote:
 Dear Gromacs Specialists,
 
 Sometimes, when I do g_analyze -f      .xvg -av -ee error.xvg , I take 
 following warning, and I don't know how to fix it.
 
 Set   1:  err.est. 0.000596502  a 0.29217  tau1 24.8856  tau2 443.641
 Warning: tau2 is longer than the length of the data (864000)
          the statistics might be bad
 invalid fit:  e.e. 0.285911  a 0.995985  tau1 1434.16  tau2 1.41932e+09
 Will fix tau2 at the total time: 864000
 Set   2:  err.est. 0.00859257  a 0.995692  tau1 1432.7  tau2 864000
 Set   3:  err.est. 0.00527967  a 0.588024  tau1 804.83  tau2 3603.55
 a fitted parameter is negative
 invalid fit:  e.e. 0.00421461  a 1.08722  tau1 1672.3  tau2 6955.25
 Will fix tau2 at the total time: 864000
 a fitted parameter is negative
 invalid fit:  e.e. -nan  a 1.00449  tau1 1455.53  tau2 864000
 Will use a single exponential fit for set 4
 Set   4:  err.est. 0.00453113  a 1  tau1 1400.34  tau2 0
 
 Please help me.
 Thanks in advance from your response.
 

It likely means the data are poorly converged.  Refer to the paper cited in 
g_analyze -h regarding the error calculation for details and a complete 
description of the error estimate method.

-Justin

-- 

Justin A. Lemkul
Ph.D. Candidate
ICTAS Doctoral Scholar
MILES-IGERT Trainee
Department of Biochemistry
Virginia Tech
Blacksburg, VA
jalemkul[at]vt.edu | (540) 231-9080
http://www.bevanlab.biochem.vt.edu/Pages/Personal/justin

-- 
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Re: [gmx-users] g_analyze -ee

2012-02-20 Thread Justin A. Lemkul



dina dusti wrote:

Dear Justin,

Thank you very much from your response.
OK, but is it important? Because these warnings are appeared some where, 
not for all of calculations. For example, these are appeared for 
gyrate.xvg and not for moment.xvg!




The warnings indicate that the error estimates are not reliable.  It's all to do 
with the autocorrelation time.  Some quantities converge faster than others. 
The appendix of the cited paper in g_analyze -h explains the entire derivation 
and what each term means.


-Justin

Thank you again from your help and excuse me from my delay for thank 
from you.


Best Regards
Dina

*From:* Justin A. Lemkul jalem...@vt.edu
*To:* dina dusti dinadu...@yahoo.com; Discussion list for GROMACS 
users gmx-users@gromacs.org

*Sent:* Saturday, February 18, 2012 5:29 PM
*Subject:* Re: [gmx-users] g_analyze -ee



dina dusti wrote:
  Dear Gromacs Specialists,
 
  Sometimes, when I do g_analyze -f  .xvg -av -ee error.xvg , I 
take following warning, and I don't know how to fix it.

 
  Set  1:  err.est. 0.000596502  a 0.29217  tau1 24.8856  tau2 443.641
  Warning: tau2 is longer than the length of the data (864000)
   the statistics might be bad
  invalid fit:  e.e. 0.285911  a 0.995985  tau1 1434.16  tau2 1.41932e+09
  Will fix tau2 at the total time: 864000
  Set  2:  err.est. 0.00859257  a 0.995692  tau1 1432.7  tau2 864000
  Set  3:  err.est. 0.00527967  a 0.588024  tau1 804.83  tau2 3603.55
  a fitted parameter is negative
  invalid fit:  e.e. 0.00421461  a 1.08722  tau1 1672.3  tau2 6955.25
  Will fix tau2 at the total time: 864000
  a fitted parameter is negative
  invalid fit:  e.e. -nan  a 1.00449  tau1 1455.53  tau2 864000
  Will use a single exponential fit for set 4
  Set  4:  err.est. 0.00453113  a 1  tau1 1400.34  tau2 0
 
  Please help me.
  Thanks in advance from your response.
 

It likely means the data are poorly converged.  Refer to the paper cited 
in g_analyze -h regarding the error calculation for details and a 
complete description of the error estimate method.


-Justin

-- 

Justin A. Lemkul
Ph.D. Candidate
ICTAS Doctoral Scholar
MILES-IGERT Trainee
Department of Biochemistry
Virginia Tech
Blacksburg, VA
jalemkul[at]vt.edu http://vt.edu | (540) 231-9080
http://www.bevanlab.biochem.vt.edu/Pages/Personal/justin






--


Justin A. Lemkul
Ph.D. Candidate
ICTAS Doctoral Scholar
MILES-IGERT Trainee
Department of Biochemistry
Virginia Tech
Blacksburg, VA
jalemkul[at]vt.edu | (540) 231-9080
http://www.bevanlab.biochem.vt.edu/Pages/Personal/justin


--
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http://lists.gromacs.org/mailman/listinfo/gmx-users
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[gmx-users] g_analyze -ee

2012-02-20 Thread dina dusti
Dear Justin,

Thank you very much from your response.

Best Regards
Dina




 From: Justin A. Lemkul jalem...@vt.edu
To: dina dusti dinadu...@yahoo.com; Discussion list for GROMACS users 
gmx-users@gromacs.org 
Sent: Monday, February 20, 2012 11:07 PM
Subject: Re: [gmx-users] g_analyze -ee
 


dina dusti wrote:
 Dear Justin,
 
 Thank you very much from your response.
 OK, but is it important? Because these warnings are appeared some where, not 
 for all of calculations. For example, these are appeared for gyrate.xvg and 
 not for moment.xvg!
 

The warnings indicate that the error estimates are not reliable.  It's all to 
do with the autocorrelation time.  Some quantities converge faster than others. 
The appendix of the cited paper in g_analyze -h explains the entire derivation 
and what each term means.

-Justin

 Thank you again from your help and excuse me from my delay for thank from you.
 
 Best Regards
 Dina
 
 *From:* Justin A. Lemkul jalem...@vt.edu
 *To:* dina dusti dinadu...@yahoo.com; Discussion list for GROMACS users 
 gmx-users@gromacs.org
 *Sent:* Saturday, February 18, 2012 5:29 PM
 *Subject:* Re: [gmx-users] g_analyze -ee
 
 
 
 dina dusti wrote:
   Dear Gromacs Specialists,
  
   Sometimes, when I do g_analyze -f      .xvg -av -ee error.xvg , I take 
following warning, and I don't know how to fix it.
  
   Set  1:  err.est. 0.000596502  a 0.29217  tau1 24.8856  tau2 443.641
   Warning: tau2 is longer than the length of the data (864000)
            the statistics might be bad
   invalid fit:  e.e. 0.285911  a 0.995985  tau1 1434.16  tau2 1.41932e+09
   Will fix tau2 at the total time: 864000
   Set  2:  err.est. 0.00859257  a 0.995692  tau1 1432.7  tau2 864000
   Set  3:  err.est. 0.00527967  a 0.588024  tau1 804.83  tau2 3603.55
   a fitted parameter is negative
   invalid fit:  e.e. 0.00421461  a 1.08722  tau1 1672.3  tau2 6955.25
   Will fix tau2 at the total time: 864000
   a fitted parameter is negative
   invalid fit:  e.e. -nan  a 1.00449  tau1 1455.53  tau2 864000
   Will use a single exponential fit for set 4
   Set  4:  err.est. 0.00453113  a 1  tau1 1400.34  tau2 0
  
   Please help me.
   Thanks in advance from your response.
  
 
 It likely means the data are poorly converged.  Refer to the paper cited in 
 g_analyze -h regarding the error calculation for details and a complete 
 description of the error estimate method.
 
 -Justin
 
 -- 
 
 Justin A. Lemkul
 Ph.D. Candidate
 ICTAS Doctoral Scholar
 MILES-IGERT Trainee
 Department of Biochemistry
 Virginia Tech
 Blacksburg, VA
 jalemkul[at]vt.edu http://vt.edu | (540) 231-9080
 http://www.bevanlab.biochem.vt.edu/Pages/Personal/justin
 
 
 
 

-- 

Justin A. Lemkul
Ph.D. Candidate
ICTAS Doctoral Scholar
MILES-IGERT Trainee
Department of Biochemistry
Virginia Tech
Blacksburg, VA
jalemkul[at]vt.edu | (540) 231-9080
http://www.bevanlab.biochem.vt.edu/Pages/Personal/justin

-- 
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http://lists.gromacs.org/mailman/listinfo/gmx-users
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[gmx-users] g_analyze -ee

2012-02-18 Thread dina dusti
Dear Gromacs Specialists,

Sometimes, when I do g_analyze -f  .xvg -av -ee error.xvg , I take 
following warning, and I don't know how to fix it.

Set   1:  err.est. 0.000596502  a 0.29217  tau1 24.8856  tau2 443.641
Warning: tau2 is longer than the length of the data (864000)
 the statistics might be bad
invalid fit:  e.e. 0.285911  a 0.995985  tau1 1434.16  tau2 1.41932e+09
Will fix tau2 at the total time: 864000
Set   2:  err.est. 0.00859257  a 0.995692  tau1 1432.7  tau2 864000
Set   3:  err.est. 0.00527967  a 0.588024  tau1 804.83  tau2 3603.55
a fitted parameter is negative
invalid fit:  e.e. 0.00421461  a 1.08722  tau1 1672.3  tau2 6955.25
Will fix tau2 at the total
 time: 864000
a fitted parameter is negative
invalid fit:  e.e. -nan  a 1.00449  tau1 1455.53  tau2 864000
Will use a single exponential fit for set 4
Set   4:  err.est. 0.00453113  a 1  tau1 1400.34  tau2 0

Please help me.
Thanks in advance from your response.

Best Regards

Dina-- 
gmx-users mailing listgmx-users@gromacs.org
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[gmx-users] g_analyze -ee

2011-12-31 Thread leila karami
Dear all

I used g_analyze -f dist.xvg -ee

In the one of the my output files, I encountered

 Read 1 sets of 1252 points, dt = 0.0119951

std. dev.relative deviation of

 standard   -   cumulants from those of
 set  average   deviation  sqrt(n-1)   a Gaussian distribition
cum. 3   cum. 4

 SS1   7.918456e+00   2.788148e+00   7.882919e-02  -0.717   -0.202


 Back Off! I just backed up e11grey.xvg to ./#e11grey.xvg.2#
 Warning: tau2 is longer than the length of the data (15.0059)
   the statistics might be bad

 invalid fit:  e.e. nan  a 2.07331  tau1 3.99138  tau2 183052
 Will fix tau2 at the total time: 15.0059
 a fitted parameter is negative
 invalid fit:  e.e. nan  a 16.5523  tau1 10.8852  tau2 15.0059
 Will use a single exponential fit for set 1

 Set   1:  err.est. 1.26673  a 1  tau1 1.54994  tau2 0

 how to fix that?

 Best regards
-- 
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[gmx-users] g_analyze -ee

2011-12-29 Thread leila karami
Dear gromacs users

I want to calculate error estimates using block averaging for output from
g-dist

(distance between donor atom of protein and acceptor atom of dna).

I used g_analyze -f dist.xvg -ee

there are 3 columns in output file.

anyone give me more explain about these columns?

how to explicate and interpret these data?


In the one of the my output files, I encountered

Read 1 sets of 1252 points, dt = 0.0119951

  std. dev.relative deviation of
   standard   -   cumulants from those of
set  average   deviation  sqrt(n-1)   a Gaussian distribition
  cum. 3   cum. 4
SS1   7.918456e+00   2.788148e+00   7.882919e-02  -0.717   -0.202


Back Off! I just backed up e11grey.xvg to ./#e11grey.xvg.2#
Warning: tau2 is longer than the length of the data (15.0059)
 the statistics might be bad
invalid fit:  e.e. nan  a 2.07331  tau1 3.99138  tau2 183052
Will fix tau2 at the total time: 15.0059
a fitted parameter is negative
invalid fit:  e.e. nan  a 16.5523  tau1 10.8852  tau2 15.0059
Will use a single exponential fit for set 1
Set   1:  err.est. 1.26673  a 1  tau1 1.54994  tau2 0

how to fix that?

Best regards
-- 
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Re: [gmx-users] g_analyze -ee

2011-12-29 Thread Mark Abraham

On 30/12/2011 1:06 AM, leila karami wrote:

Dear gromacs users

I want to calculate error estimates using block averaging for output 
from g-dist

(distance between donor atom of protein and acceptor atom of dna).

I used g_analyze -f dist.xvg -ee

there are 3 columns in output file.

anyone give me more explain about these columns?


Have you read g_analyze -h and perhaps consulted the reference you can 
find there?


Mark



how to explicate and interpret these data?


In the one of the my output files, I encountered

Read 1 sets of 1252 points, dt = 0.0119951

   std. dev.relative deviation of

standard   -   cumulants from those of
set  average   deviation  sqrt(n-1)   a Gaussian distribition
   cum. 3   cum. 4

SS1   7.918456e+00   2.788148e+00   7.882919e-02  -0.717   -0.202


Back Off! I just backed up e11grey.xvg to ./#e11grey.xvg.2#
Warning: tau2 is longer than the length of the data (15.0059)
  the statistics might be bad

invalid fit:  e.e. nan  a 2.07331  tau1 3.99138  tau2 183052
Will fix tau2 at the total time: 15.0059
a fitted parameter is negative
invalid fit:  e.e. nan  a 16.5523  tau1 10.8852  tau2 15.0059
Will use a single exponential fit for set 1

Set   1:  err.est. 1.26673  a 1  tau1 1.54994  tau2 0

how to fix that?

Best regards





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