| elec88 {ade4} | R Documentation |
Electoral Data
Description
This data set gives the results of the presidential election in France in 1988 for each department and all the candidates.
Usage
data(elec88)
Format
elec88 is a list with the following components:
- tab
a data frame with 94 rows (departments) and 9 variables (candidates)
- res
the global result of the election all-over the country
- lab
a data frame with two variables:
elec88$lab$depis a vector containing the names of the 94 french departments,elec88$lab$regis a vector containing the names of the 21 French administrative regions.- area
the data frame of 3 variables returning the boundary lines of each department. The first variable is a factor. The levels of this one are the row.names of
tab. The second and third variables return the coordinates (x, y) of the points of the boundary line.- contour
a data frame with 4 variables (x1, y1, x2, y2) for the contour display of France
- xy
a data frame with two variables (x, y) giving the position of the center for each department
- neig
the neighbouring graph between departments, object of the class
neig- nb
the neighbouring graph between departments, object of the class
nb- Spatial
the map of the french departments in Lambert II coordinates (an object of the class
SpatialPolygonsofsp)- Spatial.contour
the contour of the map of France in Lambert II coordinates (an object of the class
SpatialPolygonsofsp)
Source
Public data
See Also
This dataset is compatible with presid2002 and cnc2003
Examples
data(elec88)
apply(elec88$tab, 2, mean)
summary(elec88$res)
pca1 <- dudi.pca(elec88$tab, scale = FALSE, scannf = FALSE)
if(adegraphicsLoaded()) {
if(requireNamespace("sp", quietly = TRUE)) {
data1 <- as.data.frame(as.numeric(rownames(elec88$tab) == "D25"))
rownames(data1) <- row.names(elec88$Spatial)
obj1 <- sp::SpatialPolygonsDataFrame(Sr = elec88$Spatial, data = data1)
g1 <- s.Spatial(obj1, psub.text = "", plot = FALSE)
g2 <- s.Spatial(obj1, psub.text = "", nb = elec88$nb, pnb.node.cex = 0, plot = FALSE)
data3 <- as.data.frame(elec88$xy[, 1] + elec88$xy[, 2])
rownames(data3) <- row.names(elec88$Spatial)
obj3 <- sp::SpatialPolygonsDataFrame(Sr = elec88$Spatial, data = data3)
g3 <- s.Spatial(obj3, psub.text = "", plot = FALSE)
data4 <- as.data.frame(pca1$li[, 1])
rownames(data4) <- row.names(elec88$Spatial)
obj4 <- sp::SpatialPolygonsDataFrame(Sr = elec88$Spatial, data = data4)
g4 <- s.Spatial(obj4, psub.text = "F1 PCA", plot = FALSE)
G <- ADEgS(list(g1, g2, g3, g4), layout = c(2, 2))
}
} else {
par(mfrow = c(2, 2))
plot(elec88$area[, 2:3], type = "n", asp = 1)
lpoly <- split(elec88$area[, 2:3], elec88$area[, 1])
lapply(lpoly, function(x) {points(x, type = "l"); invisible()})
polygon(elec88$area[elec88$area$V1 == "D25", 2:3], col = 1)
area.plot(elec88$area, graph = elec88$neig, lwdg = 1)
polygon(elec88$area[elec88$area$V1 == "D25", 2:3], col = 1)
area.plot(elec88$area, val = elec88$xy[, 1] + elec88$xy[, 2])
area.plot(elec88$area, val = pca1$li[, 1], sub = "F1 PCA",
csub = 2, cleg = 1.5)
par(mfrow = c(1, 1))
}