magicsort {SensoMineR}R Documentation

Returns a sorted data matrix

Description

Sort the rows and columns of a matrix in a "magic" order or by ascending (or descending) mean or median or geometrical mean.

Usage

magicsort(matrice, sort.mat = matrice, method = "magic",
    byrow = TRUE, bycol = TRUE, ascending = TRUE)

Arguments

matrice a data matrix to sort
sort.mat sort the rows and columns according to the result of the PCA made on this matrix (by default the matrice)
method four types of calculations, magic ("magic"), ("median"), arithmetical ("mean") or geometrical ("geo") mean (by default magic)
byrow boolean, if TRUE then data are sorted over the rows
bycol boolean, if TRUE then data are sorted over the columns
ascending boolean, if TRUE then data are sorted in ascending order

Details

Very useful function to compare results.

Author(s)

François Husson, Sébastien Lê

Examples

## Example 1
data(chocolates)
resdecat<-decat(sensochoc, formul = "~Product", firstvar = 5, 
    graph = FALSE)
coltable(magicsort(resdecat$tabT), level.lower = -1.96, 
    level.upper = 1.96, main.title = "Products' description")

## Example 2
data(chocolates)
resperf<-paneliperf(sensochoc, 
    formul = "~Product+Panelist+Product:Panelist",
    formul.j = "~Product", col.j = 1, firstvar = 5, lastvar = 12,
    synthesis = FALSE, graph = FALSE)
res.sort=magicsort(resperf$prob.ind, method = "median")
coltable(res.sort, main.title = "P-values of the F-test by panelist")

[Package SensoMineR version 1.08 Index]