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- Make sure you have Mac iOS High Sierra (or a later version) as operating system
- Download PanelCheck from right hand side on this Github page or from this this older version Github page
- Unzip and place the entire folder somewhere on your computer (e.g. Desktop or Applications)
- Go to /PanelCheck-master/PanelCheck and Ctrl+mouse-click on the icon. Choose "Open" followed by "allow". OBS: If you double-click the security settings will probably not allow you to open the content.
- Go to the Sourceforge webpage and download the .exe file
- Install program via double-clicks and other normal installation procedures.
PanelCheck allows .cvs, .txt, .xls and .xlsx data formats. Simply use File/Import/... to point at the file you want to analyse and import it. Initially you will be asked on the organisation of the data. I.e. which coloumn that refer to samples, assessors and replicates, and whether to import all attributes (coloumns) found in the data sheet.
After import of the data, initial inspection can be done highlighting various aspects of the data. For instance a Lineplot of the consistency in scorering the same sample across all attributes all assessors can be done from "Univariate"/"Line Plots"/"Sensory Data"/"Bread 1"/"Overview Plot"
Revealing one panel per assessor with replicates as lines (in this case two - blue and dotted red)
From "Univariate"/"Mean & STD Plots"/"Sensory Data"/"Overview Plot (assessors)" the mean and std for each assessor (panel) each attribute (x-axis) are shown.
From "Consensus"/"Sensory Data"/"PCA Correlation Loadings", the correlation loadings between the different attributes are highlighted:
For instance, the attributes "Salt-t", "Bread-od" and "Tough" seems to be correlated. One can switch between the components to be visualized using the arrow-bottom at the bottom of the page.
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