Description Usage Arguments Value Examples
Sample Regular Functional Data
1 2 3 4 5 6 7 8 9 10 |
mu |
function, scalar or a vector defining the mean function; default value: |
X |
centered stochastic process defined by a function of the form
|
n |
sample size; default value: |
m |
sampling rate; ignored if |
sig |
standard deviation of measurement errors; if |
snr |
signal to noise ratio to determine |
domain |
the domain; default value: |
grid |
vector of design points; default value: |
a list with the following members
t
a vector of design points sorted in increasing order.
y
n*m
matrix; each row represents observations from a trajectory.
and with attributes sig
, snr
, domain
, grid
and
n*m
matrix of observations without measurement errors.
1 2 3 4 | Y <- reg.fd()
Y <- reg.fd(mu=1, X=gaussian.process(), n=10, m=20)
Y <- reg.fd(mu=cos, X=kl.process(),n=100, m=20)
Y <- reg.fd(mu=cos, X=kl.process(distribution='EXPONENTIAL'),n=100, m=20)
|
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