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$lab$dep
is a vector containing the names of the 94 french departments,elec88$lab$reg
is 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
SpatialPolygons
ofsp
)- Spatial.contour
the contour of the map of France in Lambert II coordinates (an object of the class
SpatialPolygons
ofsp
)
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))
}