Frequently Asked Question
What are the improvements in the new Panel and Panellists Performance analysis?
Please find below a summary of the implemented improvements in the Panel and Panellists Performance (new) analysis. Repeatability is the new default option, rather than reproducibility Repeatability is a measure of the consistency of the assessors in ...
EyeOpenR User Guide
EyeOpenR is an advanced statistical analysis and reporting tool integrated within the EyeQuestion software suite. Built on the R statistical language and developed in collaboration with Qi Statistics Ltd., EyeOpenR allows users to perform complex ...
How to run an analysis on an external dataset
An external dataset can be imported into EyeOpenR. This dataset can be used to run analysis or create an autoreport. You can import data in .xls and .xlsx format. Below is a description of the conventional format you can import. This is the format ...
What Is The Difference Between Correction And Standardization In TI
In Time-Intensity, the correction option is used to correct mis-click during the process: It is assumed that each intensity curves is an inverted U shape, with an ascending phase, a plateau (at max intensity), and a decreasing phase. But it can ...
Why Are The Results From Panel And Panelist Performance Different?
Although the panel performance and the panellist performance seems to be linked, at least from an interpretation point of view (one could expect that the panel is discriminating if panellists are discriminated), the analyses involved different data ...
Why Do I Have Empty Cells In Panel Performance (Panelist Agreement)
The empty cell in the panel/panellist performance is usually because there is no variation in your data. This happens when an assessor gives the same average score to all samples, where the average score is taken across all replicate measurements ...
How to use the Data Query Filter in EyeOpenR?
Imagine you have collected some data, but you only want to analyze a subset of those. For example, you have conducted a consumer test and you want to keep only the consumers that scored higher than four in the hedonic question. It is possible to ...
How to Merge Data
Introduction One of the key features of EyeQuestion is the ability to merge data from multiple projects. This can be especially useful when you have conducted several studies and want to combine the data to gain more comprehensive insights. In this ...
Run Preference Mapping Analysis in EyeOpenR
The Preference Mapping Analysis can be done in EyeOpenR by combining datasets from different projects. 1. Download the EyeOpenR Excel export from the project where you have collected the liking scores. 2. From this file, make sure that in the ...