statis_FreeSort {ClustBlock} | R Documentation |

STATIS method on Free Sorting data. A lot of supplementary informations are also computed

statis_FreeSort(Data, NameSub=NULL, Graph_obj=TRUE, Graph_weights=TRUE)

`Data` |
data frame or matrix. Corresponds to all variables that contain subjects results. Each column corresponds to a subject and gives the groups to which the products (rows) are assigned |

`NameSub` |
string vector. Name of each subject. Length must be equal to the number of clumn of the Data. If NULL, the names are S1,...Sm. Default: NULL |

`Graph_obj` |
logical. Show the graphical representation od the objects? Default: TRUE |

`Graph_weights` |
logical. Should the barplot of the weights be plotted? Default: TRUE |

a list with:

a list with:

RV: the RV matrix: a matrix with the RV coefficient between subjects

compromise: a matrix which is the compromise of the subjects (akin to a weighted average)

weights: the weights associated with the subjects to build the compromise

lambda: the first eigenvalue of the RV matrix

overall error : the error for the STATIS criterion

error_by_conf: the error by configuration (STATIS criterion)

rv_with_compromise: the RV coefficient of each subject with the compromise

homogeneity: homogeneity of the subjects (in percentage)

coord: the coordinates of each object

eigenvalues: the eigenvalues of the svd decomposition

inertia: the percentage of total variance explained by each axis

error_by_obj: the error by object (STATIS criterion)

scalefactors: the scaling factors of each subject

proj_config: the projection of each object of each subject on the axes: presentation by subject

proj_objects: the projection of each object of each subject on the axes: presentation by object

Lavit, C., Escoufier, Y., Sabatier, R., Traissac, P. (1994). The act (statis method). Computational 462 Statistics & Data Analysis, 18 (1), 97-119.\

Llobell, F., Cariou, V., Vigneau, E., Labenne, A., & Qannari, E. M. (2018). Analysis and clustering of multiblock datasets by means of the STATIS and CLUSTATIS methods.Application to sensometrics. Food Quality and Preference, in Press.

`preprocess_FreeSort`

, `clustatis_FreeSort`

data(choc) res.sta=statis_FreeSort(choc)

[Package *ClustBlock* version 2.3.1 Index]