ClustBlock v2.3.1
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Clustering of Datasets
Hierarchical and partitioning algorithms of blocks of variables. The partitioning algorithm includes an option called noise cluster to set aside atypical blocks of variables. The CLUSTATIS method (for quantitative blocks) (Llobell, Cariou, Vigneau, Labenne & Qannari (2020) <doi:10.1016/j.foodqual.2018.05.013>, Llobell, Vigneau & Qannari (2019) <doi:10.1016/j.foodqual.2019.02.017>) and the CLUSCATA method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2018.09.006>, Llobell, Giacalone, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2019.05.017>) are the core of this package.
Functions in ClustBlock
| Name | Description | |
| clustatis_FreeSort | Perform a cluster analysis of free sorting data | |
| cluscata | Perform a cluster analysis of blocks of binary variables from a CATA experiment | |
| change_cata_format | Change format of CATA datasets to perform CATATIS or CLUSCATA function | |
| cluscata_kmeans | Compute the CLUSCATA partitionning algorithm on different blocks of binary variables from a CATA experiment. Can be performed using a multi start strategy or initial partition provided by the user | |
| clustatis_FreeSort_kmeans | Compute the CLUSTATIS partitionning algorithm on free sorting data | |
| clustatis_kmeans | Compute the CLUSTATIS partitionning algorithm on different blocks of quantitative variables. Can be performed using a multi start strategy or initial partition provided by the user | |
| clustatis | Perform a cluster analysis of blocks of quantitative variables | |
| catatis | Perform the CATATIS method on different blocks of binary data from a CATA experiment | |
| choc | chocolates data | |
| ClustBlock-package | Clustering of Datasets | |
| plot.catatis | Displays the CATATIS graphs | |
| consistency_cata | Test the consistency of each attribute in a CATA experiment | |
| summary.catatis | Show the CATATIS results | |
| print.clustatis | Print the CLUSTATIS results | |
| print.cluscata | Print the CLUSCATA results | |
| straw | strawberries data | |
| statis | Performs the STATIS method on different blocks of quantitative variables | |
| statis_FreeSort | Performs the STATIS method on Free Sorting data | |
| plot.statis | Displays the STATIS graphs | |
| summary.cluscata | Show the CLUSCATA results | |
| plot.clustatis | Displays the CLUSTATIS graphs | |
| consistency_cata_panel | Test the consistency of the panel in a CATA experiment | |
| summary.clustatis | Show the CLUSTATIS results | |
| print.catatis | Print the CATATIS results | |
| summary.statis | Show the STATIS results | |
| preprocess_FreeSort | Preprocessing for Free Sorting Data | |
| plot.cluscata | Displays the CLUSCATA graphs | |
| smoo | smoothies data | |
| print.statis | Print the STATIS results | |
| No Results! | ||
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Details
| License | GPL-3 |
| Encoding | UTF-8 |
| LazyData | true |
| Date | 2020-11-20 |
| RoxygenNote | 6.1.1 |
| NeedsCompilation | no |
| Packaged | 2020-11-20 17:14:35 UTC; fllobell |
| Repository | CRAN |
| Date/Publication | 2020-11-21 14:20:06 UTC |
| suggests | ClustVarLV |
| imports | FactoMineR |
| depends | R (>= 3.4.0) |
| Contributors | Evelyne Vigneau, Veronique Cariou, El Mostafa Qannari |
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