2-D scatter plot of the matching between two sets of coordinates

This function represents a two dimensional scatter plot linking paired coordinates.

Usage

s.match(dfxy1, dfxy2, xax = 1, yax = 2, labels =
  row.names(as.data.frame(dfxy1)), arrows = TRUE, 
  facets = NULL, plot = TRUE, storeData = TRUE, 
  add = FALSE, pos = -1, ...)

Arguments

dfxy1: a data frame, the first system of coordinates, used to produce the plot
dfxy2: a data frame, the second system of coordinates, with as many rows as dfxy1, used to produce the plot.
labels: a vector of character strings containing the matches' labels
xax: an integer (or a vector) indicating which column(s) of dfxy is(are) plotted on the x-axis
yax: an integer (or a vector) indicating which column(s) of dfxy is(are) plotted on the y-axis
arrows: a logical to draw arrows
facets: a factor splitting the rows of dfxy so that subsets of the data are represented on different sub-graphics
plot: a logical indicating if the graphics is displayed
storeData: a logical indicating if the data should be stored in the returned object. If FALSE, only the names of the data arguments are stored
add: a logical. If TRUE, the graphic is superposed to the graphics already plotted in the current device
pos: an integer indicating the position of the environment where the data are stored, relative to the environment where the function is called. Useful only if storeData is FALSE
...: additional graphical parameters (see adegpar and trellis.par.get)

Value

An object of class ADEg (subclass S2.match) or ADEgS (if add is TRUE and/or if facets or vectors for xax/yax are used).
The result is displayed if plot is TRUE.

Author

Alice Julien-Laferriere, Aurelie Siberchicot aurelie.siberchicot@univ-lyon1.fr and Stephane Dray

Examples

X <- data.frame(x = runif(50, -1, 2), y = runif(50, -1, 2))
Y <- X + rnorm(100, sd = 0.3)
g1 <- s.match(X, Y, arr = TRUE, ppoints.cex = 2, ppoints.col = c("blue", "green"))


data(doubs, package = "ade4")
dudi1 <- ade4::dudi.pca(doubs$env, scale = TRUE, scannf = FALSE, nf = 3)
dudi2 <- ade4::dudi.pca(doubs$fish, scale = FALSE, scannf = FALSE, nf = 2)
coin1 <- ade4::coinertia(dudi1, dudi2, scannf = FALSE, nf = 2)
g2 <- s.match(dfxy1 = coin1$mX, dfxy2 = coin1$mY)