mfa: Multiple Factorial Analysis

In ade4: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences

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-Béatrice Dufour [e-mail]

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))

ade4 documentation built on Feb. 16, 2023, 7:58 p.m.