| linearInterp {fBasics} | R Documentation |
Bivariate Linear Interpolation. Two options are available gridded and pointwise interpolation.
linearInterp(x, y = NULL, z = NULL, gridPoints = 21,
xo = seq(min(x), max(x), length = gridPoints),
yo = seq(min(y), max(y), length = gridPoints))
linearInterpp(x, y = NULL, z = NULL, xo, yo)
x, y, z |
for linearInterp the arguments x and y are
two numeric vectors of grid pounts, and z is a numeric
matrix or any other rectangular object which can be transformed
by the function as.matrix into a matrix object.
For linearInterpp we consider either three numeric vectors
of equal length or if y and z are NULL, a list with
entries x, y, z, or named data frame with
x in the first, y in the second, and z in
the third column.
|
gridPoints |
an integer value specifying the number of grid points in x
and y direction.
|
xo, yo |
for linearInterp
two numeric vectors of data points spanning the grid, and
for linearInterpp
two numeric vectors of data points building pairs for pointwise
interpolation.
|
linearInterp
returns a list with at least three entries, x, y
and z. Note, that the returned values, can be directly
used by the persp and contour 3D plotting methods.
linearInterpp
returns a data.frame with columns "x", "y",
and "z".
akimaInterp, and krigeInterp.
## linearInterp -
# Linear Interpolation:
if (require(akima)) {
set.seed(1953)
x = runif(999) - 0.5
y = runif(999) - 0.5
z = cos(2*pi*(x^2+y^2))
ans = linearInterp(x, y, z, gridPoints = 41)
persp(ans, theta = -40, phi = 30, col = "steelblue",
xlab = "x", ylab = "y", zlab = "z")
contour(ans)
}