gridrowcol {ade4} | R Documentation

## Complete regular grid analysis

### Description

This function defines objects to analyse data sets associated with complete regular grid.

### Usage

    gridrowcol(nrow, ncol, cell.names = NULL)

### Arguments

`nrow` | size of the grid (number of rows)
`ncol` | size of the grid (number of columns)
`cell.names` | grid cell labels

### Value

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

### Author(s)

Sébastien Ollier ollier@biomserv.univ-lyon1.fr
Daniel Chessel chessel@biomserv.univ-lyon1.fr

### References

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.

### See Also

`orthobasis`, `orthogram`, `mld`

### Examples

    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))

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