elec88: Electoral Data

In ade4: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences

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 of sp)

Spatial.contour

the contour of the map of France in Lambert II coordinates (an object of the class SpatialPolygons of sp)

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))
}

ade4 documentation built on Feb. 16, 2023, 7:58 p.m.