| lowfreqdrift {neuRosim} | R Documentation |
Generate low frequency drift
Description
Generates a low-frequency drift dataset with specified dimensions and frequency.
Usage
lowfreqdrift(dim, freq = 128, nscan, TR, template, verbose = TRUE)
Arguments
dim |
A vector specifying the dimensions of the image. |
freq |
The frequency of the drift in seconds. |
nscan |
The number of scans in the dataset. |
TR |
The repetition time in seconds. |
template |
An array representing the anatomical structure or mask with dimensions equal to dim. |
verbose |
Logical indicating if warnings should be printed. |
Details
The function generates low-frequency drift based on a basis set of cosine functions. The result is an array with specified dimensions and frequency.
Value
An array containing the drift with dimensions specified in dim.
Author(s)
Y. Rosseel, M. Welvaert
References
Friston et al. (2007). Statistical Parametric Mapping: The analysis of functional brain images. Academic Press.
See Also
temporalnoise, systemnoise, physnoise, tasknoise, spatialnoise
Examples
d <- c(10,10,10)
freq <- 80
nscan <- 100
TR <- 2
out <- lowfreqdrift(d, freq, nscan, TR, verbose=FALSE)