The ade4 Package - NexTag Supports Open Source Initiatives

multispati 167
Value
Returns an object of class multispati, which contains the following elements :
eig
nfposi
nfnega
c1
li
a numeric vector containing the eigenvalues
integer, number of kept axes associated to positive eigenvalues
integer, number of kept axes associated to negative eigenvalues
principle axes (v), data frame with p rows and (nfposi + nfnega) columns
principal components (XQv), data frame with n rows and (nfposi + nfnega)
columns
ls lag vector onto the principal axes (LXQv), data frame with n rows and (nfposi +
nfnega) columns
as
Author(s)
principal axes of the dudi analysis (u) onto principal axes of multispati (t(u)Qv),
data frame with dudi$nf rows and (nfposi + nfnega) columns
Daniel Chessel
Sebastien Ollier 〈ollier@biomserv.univ-lyon1.fr〉
Thibaut Jombart 〈jombart@biomserv.univ-lyon1.fr〉
References
Grunsky, E. C. and Agterberg, F. P. (1988) Spatial and multivariate analysis of geochemical data
from metavolcanic rocks in the Ben Nevis area, Ontario. Mathematical Geology, 20, 825–861.
Switzer, P. and Green, A.A. (1984) Min/max autocorrelation factors for multivariate spatial imagery.
Tech. rep. 6, Stanford University.
Thioulouse, J., Chessel, D. and Champely, S. (1995) Multivariate analysis of spatial patterns: a
unified approach to local and global structures. Environmental and Ecological Statistics, 2, 1–14.
Wartenberg, D. E. (1985) Multivariate spatial correlation: a method for exploratory geographical
analysis. Geographical Analysis, 17, 263–283.
Jombart, T., Devillard, S., Dufour, A.-B. and Pontier, D. A spatially explicit multivariate method to
disentangle global and local patterns of genetic variability. Submitted to Genetics.
See Also
dudi,listw
Examples
## Not run:
if (require(maptools, quiet = TRUE) & require(spdep, quiet = TRUE)) {
data(mafragh)
maf.xy