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adegraphics (version 1.0-3)

s.image: 2-D scatter plot with loess estimation of an additional numeric score (levelplot)

Description

This function represents a two dimensional scatter plot with a continuous convex colored surface and/or contour lines representing a third variable.

Usage

s.image(dfxy, z, xax = 1, yax = 2, span = 0.5, gridsize = c(80L, 80L), 
  contour = TRUE, region = TRUE, outsideLimits = NULL, breaks = NULL,
  nclass = 8, col = NULL, facets = NULL, 
  plot = TRUE, storeData = TRUE, add = FALSE, pos = -1, ...)

Arguments

dfxy
a data frame used to produce the plot
z
a vector (or a matrix) of values on the dfxy rows
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
span
a value to control the degree of smoothing
gridsize
a 1 or 2-length vector indicating the cell numbers (horizontally and vertically) of the grid for the colored surface
contour
a logical to draw contour lines
region
a logical to fill inter-contour regions
breaks
a vector of values to split z. If NULL, pretty(z, nclass) is used.
nclass
an integer for the number of desired intervals, ignored if breaks is not missing.
outsideLimits
specific limits for the surface as a set of polygons. It must be an SpatialPolygons object. Hole are authorized.
col
a color or a colors vector used for the colored cells
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.image) or ADEgS (if add is TRUE and/or if facets or multidimensional z or vectors for xax/yax are used). The result is displayed if plot is TRUE.

See Also

S2.image ADEg.S2

Examples

Run this code
df1 <- data.frame(expand.grid(-3:3, -3:3))
names(df1) <- c("x", "y")
z1 <- (1 / sqrt(2)) * exp(-(df1$x ^ 2 + df1$y ^ 2) / 2)
g1 <- s.image(df1, z1)
g2 <- s.image(df1, z1, gridsize = 50)

g3 <- s.image(df1, z1, gridsize = 100)
## g4 <- s.image(df1, z1, gridsize = 1000, plot = FALSE)

if(require(splancs, quiet = TRUE) & require(sp, quiet = TRUE)) {
    Sr1 <- Polygon(cbind(c(0, 1, 2, 1, 2, 0, -2, -1, -2, -1, 0), 
      c(2.5, 1.5, 2, 0, -2, -1, -2, 0, 2, 1.5, 2.5)))
    Sr2 <- Polygon(cbind(c(-0.5, 0.5, 0.5, -0.5, -0.5), c(0, 0, 1 ,1, 0)), hole = TRUE)
    Srs2 <- Polygons(list(Sr1, Sr2), ID = "star and hole")
    SPp <- SpatialPolygons(list(Srs2))
    df2 <- cbind(c(rnorm(2000, 1, 0.25), rnorm(3000, -1, 1.5)), c(rnorm(2000, 1, 0.5), 
      rnorm(3000, -1, 3)))
    z2 <- c(rnorm(2000, 12, 1), rnorm(3000, 1, 2))
    g5 <- s.image(df2, z2, outsideLimits = SPp, grid = 200, xlim = c(-2.5, 2.5), 
      ylim = c(-2, 3), ppalette.quanti = colorRampPalette(c(grey(0.1), grey(0.9))))
  
    data(t3012, package = "ade4")  
    g6 <- s.image(t3012$xy, ade4::scalewt(t3012$temp), porigin.include = FALSE)
    g7 <- s.image(t3012$xy, ade4::scalewt(t3012$temp), outsideLimits = t3012$Spatial, 
      Sp = t3012$Spatial)
  }

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