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Windows binaries

ConsumerCheck 1.4.2 | Date: 30.10.2016| Size: 171 983 KB

ConsumerCheck 1.4.1 | not released

ConsumerCheck 1.4.0 | Date: 01.05.2016 | Size: 108 040 KB

ConsumerCheck 1.3.3 | Date: 15.11.2015 | Size: 102 178 KB

ConsumerCheck 1.3.2 | not released

ConsumerCheck 1.3.1 | Date: 26.08.2015 | Size: 104 165 KB

ConsumerCheck 1.3.0 | Date: 15.08.2015 | Size: 104 165 KB

ConsumerCheck 1.2.1 | Date: 06.05.2015 | Size: 221 514 KB

ConsumerCheck 1.2.0 | Date: 30.04.2015 | Size: 223 739 KB

ConsumerCheck 1.1.0 | Date: 22.01.2015 | Size: 128 081 KB | (no longer available)

ConsumerCheck 1.0.5 | Date: 11.12.2014 | Size: 128 077 KB | (no longer available)

ConsumerCheck 1.0.4 | Date: 07.06.2014 | Size: 128 185 KB | (no longer available)

ConsumerCheck 1.0.3 | not released

ConsumerCheck 1.0.2 | Date: 06.03.2014 | Size: 128 189 KB | (no longer available)

ConsumerCheck 1.0.1 | Date: 06.02.2014 | Size: 128 185 KB | (no longer available)

ConsumerCheck 1.0.0 | Date: 11.01.2014 | Size: 116 977 KB | (no longer available)


Mac OS X binaries

ConsumerCheck 1.4.2 | Date: 30.10.2016| Size: 41 358 KB | Mac OS X installation instructions

ConsumerCheck 1.4.1 | not released

ConsumerCheck 1.4.0 | Date: 05.05.2016 | Size: 131 536 KB |  Mac OS X installation instructions

ConsumerCheck 1.3.3 | Date: 15.11.2015 | Size: 122 885 KB |  Mac OS X installation instructions

ConsumerCheck 1.3.2 | not released

ConsumerCheck 1.3.1 | Date: 17.10.2015 | Size: 122 061 KB | Mac OS X installation instructions


Linux (source code)

https://sourceforge.net/p/consumercheck/code/ci/default/tree/

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Data sets for testing ConsumerCheck

Have a look at these test data sets to see how you need to organise your data before importing them into ConsumerCheck.

Data_1_liking.xlsx | Type: consumer preference | Size: 12 KB | Format: Microsoft Excel (.xlsx) | 5 products x 108 consumers | To be used in: Basic stats liking, PCA, Preference mapping (together with Data_1_QDA.xlsx)

Data_1_QDA.xlsx | Type: QDA data (trained sensory panel) | Size 10 KB | Format: Microsoft Excel (.xlsx) | 5 products x 14 sensory attributes | To be used in: PCA, Preference mapping (together with Data_1_liking.xlsx)

Ham_consumer_liking.txt | Type: consumer preference | Size: 2 KB | Format: tab-delimited text (.txt) | 8 products x 81 consumers | To be used in: Basic stats liking, PCA, Conjoint

Ham_consumer_characteristics.txt | Type: consumer background data | Size: 1 KB | Format: tab-delimited (.txt) | 81 consumers x 2 characteristics | To be used in: Conjoint

Ham_design.txt | Type: design matrix | Size: 1 KB | Format: tab-delimited (.txt) | 8 products x 2 design variables | To be used in: Conjoint

 

Data with object categories

These are example data the show how to structure the data including columns indicating categories for objects.

Apples_liking_withCat.txt | Type: consumer preference | Size: 2 KB | Format: tab-delimited (.txt) | 5 products x 108 consumers | 3 category variables | To be used in: Basic stats liking, PCA, Preference mapping (together with Apples_DescrAnalysis_withCat.txt)

Apples_DescrAnalysis_withCat.txt | Type: QDA data (trained sensory panel) | Size 10 KB | Format: Microsoft Excel (.xlsx) | 5 products x 14 sensory attributes | 3 category variables | To be used in: PCA, Preference mapping (together with Apples_liking_withCat.txt)

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