Specifying forbidden configurations in Morris One at a Time (OAT) sensitivity analysis

Previous Topic Next Topic
 
classic Classic list List threaded Threaded
2 messages Options
Reply | Threaded
Open this post in threaded view
|

Specifying forbidden configurations in Morris One at a Time (OAT) sensitivity analysis

Reshma C
Hi!

I am trying to implement the Morris One at a Time (OAT) sensitivity
analysis technique in R using the package 'sensitivity'.  The OAT and
similar other techniques in the package requires data frame X (which stores
the design or parameter combinations) to be populated by some function in
the package such as fast99 or morris. These functions take only the range
and step size of the parameters as arguments. However, in my experiment
there are few forbidden configurations. Is there a way to specify this in
the analysis set up? To be specific, is there a way to tell the model that
certain combinations are forbidden such as feeding forbidden configurations
via a text file or specifying a conditional expression which will exclude
the forbidden configurations (eg: parameter 1 < parameter 2) ?

Thanks and regards,
Reshma CC

        [[alternative HTML version deleted]]

______________________________________________
[hidden email] mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Reply | Threaded
Open this post in threaded view
|

Re: Specifying forbidden configurations in Morris One at a Time (OAT) sensitivity analysis

R help mailing list-2
If nothing else, I think you need to supply some sample data that includes examples of the "forbidden configurations"
See http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
and/or

http://adv-r.had.co.nz/Reproducibility.html

 

    On Monday, April 9, 2018, 11:45:21 a.m. EDT, Reshma C <[hidden email]> wrote:  
 
 Hi!

I am trying to implement the Morris One at a Time (OAT) sensitivity
analysis technique in R using the package 'sensitivity'.  The OAT and
similar other techniques in the package requires data frame X (which stores
the design or parameter combinations) to be populated by some function in
the package such as fast99 or morris. These functions take only the range
and step size of the parameters as arguments. However, in my experiment
there are few forbidden configurations. Is there a way to specify this in
the analysis set up? To be specific, is there a way to tell the model that
certain combinations are forbidden such as feeding forbidden configurations
via a text file or specifying a conditional expression which will exclude
the forbidden configurations (eg: parameter 1 < parameter 2) ?

Thanks and regards,
Reshma CC

    [[alternative HTML version deleted]]

______________________________________________
[hidden email] mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
 
        [[alternative HTML version deleted]]

______________________________________________
[hidden email] mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.