R: Multiple Factorial Analysis

mfa {ade4}

R Documentation

Multiple Factorial Analysis

Description

performs a multiple factorial analysis, using an object of class ktab.

Usage

mfa(X, option = c("lambda1", "inertia", "uniform", "internal"), 
    scannf = TRUE, nf = 3)
## S3 method for class 'mfa'
plot(x, xax = 1, yax = 2, option.plot = 1:4, ...) 
## S3 method for class 'mfa'
print(x, ...) 
## S3 method for class 'mfa'
summary(object, ...)

Arguments

`X`	K-tables, an object of class `ktab`
`option`	a string of characters for the weighting of arrays options : `lambda1` weighting of group k by the inverse of the first eigenvalue of the k analysis `inertia` weighting of group k by the inverse of the total inertia of the array k `uniform` uniform weighting of groups `internal` weighting included in `X$tabw`
`scannf`	a logical value indicating whether the eigenvalues bar plot should be displayed
`nf`	if scannf FALSE, an integer indicating the number of kept axes
`x, object`	an object of class 'mfa'
`xax, yax`	the numbers of the x-axis and the y-axis
`option.plot`	an integer between 1 and 4, otherwise the 4 components of the plot are displayed
`...`	further arguments passed to or from other methods

Value

Returns a list including :

`tab`	a data frame with the modified array
`rank`	a vector of ranks for the analyses
`eig`	a numeric vector with the all eigenvalues
`li`	a data frame with the coordinates of rows
`TL`	a data frame with the factors associated to the rows (indicators of table)
`co`	a data frame with the coordinates of columns
`TC`	a data frame with the factors associated to the columns (indicators of table)
`blo`	a vector indicating the number of variables for each table
`lisup`	a data frame with the projections of normalized scores of rows for each table
`link`	a data frame containing the projected inertia and the links between the arrays and the reference array

Author(s)

Daniel Chessel
Anne B Dufour anne-beatrice.dufour@univ-lyon1.fr

References

Escofier, B. and Pagès, J. (1994) Multiple factor analysis (AFMULT package), Computational Statistics and Data Analysis, 18, 121–140.

Examples

data(friday87)
w1 <- data.frame(scale(friday87$fau, scal = FALSE))
w2 <- ktab.data.frame(w1, friday87$fau.blo, 
    tabnames = friday87$tab.names)
mfa1 <- mfa(w2, scann = FALSE)
mfa1
plot(mfa1)

data(escopage)
w <- data.frame(scale(escopage$tab))
w <- ktab.data.frame(w, escopage$blo, tabnames = escopage$tab.names)
plot(mfa(w, scann = FALSE))

[Package ade4 version 1.7-4 Index]