Description Usage Arguments Value
generates a functional data set by evaluating curves and adding Gaussian noise.
1 2 |
coef |
matrix or data frame containing the coefficients of the basis functions. The number of columns is equal to the number of basis functions |
basis.fns |
basis functions given by the output of create_basis |
sigma0 |
standard deviation of the noise term. |
m |
number of observations per curve |
pts |
vector of values where the curves will be evaluated |
DIST |
distribution function used to generate observatin locations for each curve. Default is runif(). |
... |
additional parameter passed to dist function |
ID integer identifying a single curve
Time argument values where curves are evaluated
X response variable
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.