s.distri {adegraphics}

2-D scatter plot with means/standard deviations computed using an external table of weights

Description

This function represents a two dimensional scatter plot of a frequency distribution. Class are defined by ellipses and/or stars.

Usage

s.distri(dfxy, dfdistri, xax = 1, yax = 2, starSize = 1, 
  ellipseSize = 1.5, col = NULL, facets = NULL, plot = TRUE, 
  storeData = TRUE, add = FALSE, pos = -1, ...)

Arguments

dfxy

a data frame used to produce the plot

dfdistri

a data frame containing the mass distribution in columns

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

starSize

NULL or number between 0 and 1 for the size of the stars segments joining the stars' center (centroids) and the matching points

ellipseSize

NULL or number between 0 and 1 for ellipse size

col

a color or a colors vector to color points, ellipses, labels, lines and polygons

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.distri) 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.distri ADEg.S2

Examples

data(rpjdl, package = "ade4")
xy <- ade4::dudi.coa(rpjdl$fau, scan = FALSE)$li
j <- c(1, 5, 8, 20, 21, 23, 26, 33, 36, 44, 47, 49)
dfdistri <- rpjdl$fau[, j]
coli <- colorRampPalette(c("blue", "red", "orange"))(49)[j]

s.distri(xy, dfdistri, ellipseSize = 1, starSize = 0, porigin.include = FALSE, 
  pellipses = list(col = coli, alpha = 0.3), plabels.cex = 0)