as.dudi is called by many functions (dudi.pca, dudi.coa, dudi.acm, ...) and not directly by the user. It creates duality diagrams.
t.dudi returns an object of class 'dudi' where the rows are the columns and the columns are the rows of the initial dudi.
is.dudi returns TRUE if the object is of class dudi
redo.dudi computes again an analysis, eventually changing the number of kept axes. Used by other functions.
as.dudi(df, col.w, row.w, scannf, nf, call, type, tol =1e-07, full =FALSE)## S3 method for class 'dudi'print(x,...)is.dudi(x)redo.dudi(dudi, newnf =2)## S3 method for class 'dudi't(x)## S3 method for class 'dudi'summary(object,...)## S3 method for class 'dudi'x[i,j]
Arguments
df: a data frame with n rows and p columns
col.w: a numeric vector containing the row weights
row.w: a numeric vector containing the column weights
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
call: generally match.call()
type: a string of characters : the returned list will be of class c(type, "dudi")
tol: a tolerance threshold for null eigenvalues (a value less than tol times the first one is considered as null)
full: a logical value indicating whether all non null eigenvalues should be kept
x, dudi, object: objects of class dudi
...: further arguments passed to or from other methods
newnf: an integer indicating the number of kept axes
i,j: elements to extract (integer or empty): index of rows (i) and columns (j)
Returns
as.dudi and all the functions that use it return a list with the following components : - tab: a data frame with n rows and p columns
cw: column weights, a vector with n components
lw: row (lines) weights, a vector with p components
eig: eigenvalues, a vector with min(n,p) components
nf: integer, number of kept axes
c1: principal axes, data frame with p rows and nf columns
l1: principal components, data frame with n rows and nf columns
co: column coordinates, data frame with p rows and nf columns
li: row coordinates, data frame with n rows and nf columns
call: original call
References
Escoufier, Y. (1987) The duality diagram : a means of better practical applications In Development in numerical ecology, Legendre, P. & Legendre, L. (Eds.) NATO advanced Institute, Serie G. Springer Verlag, Berlin, 139--156.