evaluate a function over a sampling grid

given an object to be evaluated and an input sample "grid", evaluate the object.

evalute a regressor function over a sampling grid

Usage

evaluate(x, grid, ...)

# S3 method for regressor
evaluate(x, grid, precision = 0.33, use_conv = FALSE, ...)

Arguments

x: the object to evaluate
grid: the sampling grid. A vector of real values in seconds.
...: extra args
precision: the sampling precision for the hrf. This parameter is passed to evaluate.HRF
use_conv: use fast convolution approach

Examples

frame <- sampling_frame(blocklens=100, TR=2)
reg <- regressor(onsets=c(10,20,35, 47,52, 68, 79,86), amp=runif(8), duration=runif(8)*3, hrf=HRF_SPMG1)
e1 = evaluate(reg, samples(frame))
e2 = evaluate(reg, samples(frame), use_conv=TRUE)