resample | R Documentation |
The resample
function uses a kernel function to resample a target
array. This can be thought of as a generalisation of array indexing which
allows fractional indices. It is (S3) generic. The rescale
function
is an alternative interface for the common case where the image is being
scaled to a new size.
resample(x, points, kernel, ...) ## Default S3 method: resample(x, points, kernel, pointType = c("auto", "general", "grid"), ...) rescale(x, factor, kernel, ...)
x |
Any object. For the default method, this must be coercible to an array. |
points |
Either a matrix giving the points to sample at, one per row, or a list giving the locations on each axis, which will be made into a grid. |
kernel |
A kernel function object, used to provide coefficients for each resampled value, or the name of one. |
... |
Additional options, such as kernel parameters. |
pointType |
A string giving the type of the point specification being
used. Usually can be left as |
factor |
A vector of scale factors, which will be recycled to the
dimensionality of |
If a generalised sampling scheme is used (i.e. with points
a
matrix), the result is a vector of sampled values. For a grid scheme (i.e.
with points
a list, including for rescale
), it is a
resampled array.
Jon Clayden <code@clayden.org>
kernels
for kernel-generating functions.
resample(c(0,0,1,0,0), seq(0.75,5.25,0.5), triangleKernel())
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