Synthace automatically runs all the appropriate model comparisons to identify which factors, or combination of factors, need to be included in the final model so that it is able to accurately represent your data.
In this tutorial you will learn in Synthace:
how to chose which row selections and transforms to use in the significance tests
how to identify which effects are significant
Launch a Response Analysis session
To get started, you need to launch the Response Analysis app in Synthace. This can be done from a couple of places:
Accessing a previous analysis
Navigate to the experiment that contains your analysis.
Click on the dropdown to navigate to the map view.
Click on the Analysis header to launch the Response Analysis app.
Creating a new analysis from an execution
Navigate to your execution, you can do this from the Executions list page or from the experiment that has your execution in, similar to the above instructions.
Click on Structure DOE Data to launch the Data Structuring app.
Click on Start Analysis to create a brand new Response Analysis session.
Finding significant effects
To get started navigate to the Find Effects tab in the Response Analysis app.
Selecting data sets
Prior to assessing your significant effects you first need to make sure you are finding the significant effects from the correct data and or row selections.
From the Response or Transformation drop down make sure you have selected the data you want to find effects from and ultimately fit a model to.
From the Row Selection drop down select the subset of data you want to find effects within if you have created row selections previously.
Finding significant effects
Selection of a Response or Transformation or a Row Selection will automatically trigger the effect finding process.
Effects found to be significant will be selected and highlighted within the list of all possible effects.
That is it, so easy!
To learn how to manually adjust effects of interest, click here.
To learn how to use the significant effects plots, click here.