plotmap {hyperSpec} | R Documentation |
An image or map of a summary value of each spectrum is plotted. The spectra may be identified by mouse click.
plotmap (object, x = "x", y = "y", func = mean, cond = NULL, z = NULL, do.print = FALSE, print.args = NULL, trellis.args = NULL, ...) map.identify (object, x = "x", y = "y", ...)
object |
the hyperSpec object |
x, y |
names of the columns in slot @data to be
used as x and y coordinates |
func |
function to apply to compute the summary statistic that is
displayed if z is not given. |
cond |
conditioning factor (for \| cond in the levelplot
formula). May also be the name of the extra data column to be used for
conditioning. |
z |
summary value to be displayed. If z is a
factor , and the default color scheme (returned by
matlab.palette ) is used, one color per level of z
is used, otherwise a continuous palette is requested.
|
do.print |
if TRUE , the lattice object is printed with the
further arguments given in print.args before returning it. |
print.args |
list with further arguments for printing the lattice object. |
trellis.args |
list with further arguments passed to
levelplot . |
... |
further arguments passed to func by
plotmap .
map.identify passes all further arguments to plotmap .
|
plotmap
calculates a grid (via index.grid
) on
which the summary value is displayed with
levelplot
.
Arguments to levelplot
can be given in
trellis.args
.
map.identify
calls plotmap
and waits for (left) mouse
clicks on points. The row indices of the
a lattice object
C. Beleites
background <- apply (chondro, 2, quantile, probs = 0.05) corrected <- sweep (chondro, 2, background, "-") plotmap (corrected, func = max) plotmap (corrected, func = max, trellis.args = list (col.regions = gray ((100 : 0)/100)) ) dist <- pearson.dist (chondro[[]]) dend <- hclust (dist, method = "ward") z <- cutree (dend, h = 0.15) plotmap (chondro, z = z) plotmap (chondro, z = as.factor (z))