Software Features

Here a short description of the software features provided in the ConsumerCheck software. Please click on the images to get a larger view.

DATASETS – DISPLAY OF DATA SET INFORMATION

Here the user may acquire specific information regarding the imported data sets and tag them according to their nature (QDA data, consumer preference data, consumer characteristics data, design matrix).

 

 

 

 

 

 

BASIC STAT LIKING – VISUALISING CONSUMER PREFERENCE DATA

• Box plot
• Stacked histogram
• Single product histogram

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

PCA – PRINCIPAL COMPONENT ANALYSIS

• Overview plot
• Scores plot
• Loadings plot
• Correlation loadings plot
• Explained variance  (calibrated and validated)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

PARTIAL LEAST SQUARES REGRESSION (PLSR) / PRINCIPAL COMPONENT REGRESSION (PCR) / PREFERENCE MAPPING

• Overview plot
• X scores
• X & Y correlation loadings
• X loadings
• Y loadings
• Explained variance in X (calibrated and validated)
• Explained variance in Y (calibrated and validated)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

CONJOINT ANALYSIS

• Based on MixMod: Analysis of Mixed Models. R package
• LS means results
• Fixed effects results
• Random effects results
• Pair-wise differences results
• Full model residuals
• Double centred residuals
• Main effects plot
• Interaction plots