Run Preference Mapping Analysis in EyeOpenR

The Preference Mapping Analysis can be done in EyeOpenR by combining datasets from different projects. 

Step 1. Download the EyeOpenR Excel export from the project where you have collected the liking scores. 

From this file, make sure that in the 'dataset' sheet there is only one column which includes the liking score given for each product from each judge (see attached Prefmap_DemoInput.xlsx). 

Step 2. Add attributes mean score table. 

From the second project where you have collected the attributes data, open EyeOpenR and select Table of Means analysis and download the excel file from the results section. 

Step 3. Open the downloaded 'Table of Means' file and copy the table of means. 

Step 4. Go back to the excel file which includes the liking score. 

Add a sheet called "products" and paste onto this sheet the transposed attributes mean table.

Make sure that the name of the products in the "product" column, match what is written in the product column present in the 'dataset' sheet (see attached Prefmap_DemoInput.xlsx). 

Once this is done you can import the excel file into EyeOpenR and run the preference mapping analysis. 

In the attachment (Prefmap_DemoInput.xlsx) you can find an example on how the the final dataset should be structured in order to have the analysis run correctly.

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