gridrowcol {ade4} | R Documentation |
This function defines objects to analyse data sets associated with complete regular grid.
gridrowcol(nrow, ncol, cell.names = NULL)
nrow |
size of the grid (number of rows) |
ncol |
size of the grid (number of columns) |
cell.names |
grid cell labels |
Returns a list containing the following items :
xy |
: a data frame with grid cell coordinates |
area |
: a data frame with three variables to display grid cells as areas |
neig |
: an object of class 'neig' corresponding to a neighbouring graph of the grid (rook case) |
orthobasis |
: an object of class 'orthobasis' corresponding to the analytical solution for the neighbouring graph |
Sébastien Ollier ollier@biomserv.univ-lyon1.fr
Daniel Chessel chessel@biomserv.univ-lyon1.fr
Méot, A., Chessel, D. and Sabatier, D. (1993) Opérateurs de voisinage et analyse des données spatio-temporelles. in J.D. Lebreton and B. Asselain, editors. Biométrie et environnement. Masson, 45-72.
Cornillon, P.A. (1998) Prise en compte de proximités en analyse factorielle et comparative. Thèse, Ecole Nationale Supérieure Agronomique, Montpellier.
w <- gridrowcol(8,5) par(mfrow = c(1,2)) area.plot(w$area,center = w$xy, graph = w$neig, clab = 0.75) area.plot(w$area,center = w$xy, graph = w$neig, clab = 0.75, label = as.character(1:40)) par(mfrow = c(1,1)) par(mfrow = c(5,8)) for(k in 1:39) s.value(w$xy, w$orthobasis[,k], csi = 3, cleg = 0, csub = 2, sub = as.character(signif(attr(w$orthobasis, "values")[k],3)), incl = FALSE, addax = FALSE, cgr = 0, ylim = c(0,10)) par(mfrow = c(1,1))