s.match: 2-D scatter plot of the matching between two sets of...

In adegraphics: An S4 Lattice-Based Package for the Representation of Multivariate Data

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

Description

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(s)

Alice Julien-Laferriere, Aurelie Siberchicot [e-mail] and Stephane Dray

See Also

S2.match ADEg.S2

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)

adegraphics documentation built on Oct. 13, 2023, 5:11 p.m.