The ade4 Package - NexTag Supports Open Source Initiatives

dudi.pco 93
Usage
dudi.pco(d, row.w = "uniform", scannf = TRUE, nf = 2,
full = FALSE, tol = 1e-07)
## S3 method for class 'pco':
scatter(x, xax = 1, yax = 2, clab.row = 1, posieig = "top",
sub = NULL, csub = 2, ...)
Arguments
d
row.w
scannf
nf
full
tol
x
xax
yax
clab.row
posieig
sub
csub
an object of class dist containing a Euclidean distance matrix.
an optional distance matrix row weights. If not NULL, must be a vector of
positive numbers with length equal to the size of the distance matrix
a logical value indicating whether the eigenvalues bar plot should be displayed
if scannf FALSE, an integer indicating the number of kept axes
a logical value indicating whether all the axes should be kept
a tolerance threshold to test whether the distance matrix is Euclidean : an eigenvalue
is considered positive if it is larger than -tol*lambda1 where lambda1
is the largest eigenvalue.
an object of class pco
the column number for the x-axis
the column number for the y-axis
a character size for the row labels
if "top" the eigenvalues bar plot is upside, if "bottom" it is downside, if "none"
no plot
a string of characters to be inserted as legend
a character size for the legend, used with par("cex")*csub
... further arguments passed to or from other methods
Value
dudi.pco returns a list of class pco and dudi. See dudi
Author(s)
Daniel Chessel
Anne B Dufour 〈dufour@biomserv.univ-lyon1.fr〉
References
Gower, J. C. (1966) Some distance properties of latent root and vector methods used in multivariate
analysis. Biometrika, 53, 325–338.