variable effect in Pareto plot

Tuan-Long VU

Hello everyone,

I have a question about the Pareto plot in DOE post-processing in HyperStudy. As I know, the horizontal axis of the plot represents different variables in the study, and the vertical axis can be the occurence frequency of the variables or anything else important to the study results. In HyperStudy, it is the effect of the variables on the study results. However, I don't quite understand how this effect is calculated. I've looked through some documents and forums but can't find any explainations.

Any help would be very appreciated.

Thank you!

Michael Herve

Hello Tuan-Long,

 

left vertical axis correspond to linear effect, you can find an explanation in the page below:

https://2021.help.altair.com/2021.2/hwdesktop/hst/topics/design_exploration/post_process_pareto_plot_r.htm#post_process_pareto_plot_r

Basically, if you go to linear effects tab, and plot a response versus a given variable, you will have a slope with one value at lower bound and one value at upper bound.

The different between both values (1.67 and 1.23 in the picture below) is the value you see in the left axis in the Pareto plot (~.4):

Hope this answer your request

 

Best Regards,

Michael

 

Michael Herve

Hello Tuan-Long,

 

left vertical axis correspond to linear effect, you can find an explanation in the page below:

https://2021.help.altair.com/2021.2/hwdesktop/hst/topics/design_exploration/post_process_pareto_plot_r.htm#post_process_pareto_plot_r

Basically, if you go to linear effects tab, and plot a response versus a given variable, you will have a slope with one value at lower bound and one value at upper bound.

The different between both values (1.67 and 1.23 in the picture below) is the value you see in the left axis in the Pareto plot (~.4):

Hope this answer your request

 

Best Regards,

Michael

 

Tuan-Long VU

Michael Herve_21439 said:

Hello Tuan-Long,

 

left vertical axis correspond to linear effect, you can find an explanation in the page below:

https://2021.help.altair.com/2021.2/hwdesktop/hst/topics/design_exploration/post_process_pareto_plot_r.htm#post_process_pareto_plot_r

Basically, if you go to linear effects tab, and plot a response versus a given variable, you will have a slope with one value at lower bound and one value at upper bound.

The different between both values (1.67 and 1.23 in the picture below) is the value you see in the left axis in the Pareto plot (~.4):

Hope this answer your request

 

Best Regards,

Michael

 

Thanks Machael for the answer and the document also!