fbrbetafunc: Use the FBR method to find the beta-values

In sremmers/FBRbeta: FBR method based on beta-series

Description

Use the FBR method to find the beta-values

Usage

fbrbetafunc(dat, boxtimings, ROI, timings, nbox, lenbox, TR, maximum = TRUE,
  summation = FALSE, all.beta = FALSE)

Arguments

dat	A nifti file. Can be obtained with readData("filtered_func_data.nii").
boxtimings	the designmatrix for each each timing, obtained with designmatrix.
ROI	The vector of interest y.
timings	A string of timings.
nbox	The amount of boxcars in the design matrix.
lenbox	The length of boxcars in the design matrix.
TR	Sampling rate.
maximum	Maximum is default, other option: summation, all.beta.
summation	The sum
all.beta	The full beta-matrix

Value

The beta-values.

See Also

designmatrix for the boxcar function for all timings/events., readData to read nifti files in R

Examples

ROI = c(9, -3, -7, -9, -7, -5, -9, 2,  7, 13, 20, 9, 4, 2, 7, 7, -2, -3, -5, 0)
timings = c(2, 6, 8, 10, 12, 14)
nbox = 3
lenbox = 2
TR = 1
boxtimings <- designmatrix(ROI, timings, nbox, lenbox, TR)
dat = 0 #not required in this example, but is readData("filtered_func_data.nii")

fbrbetafunc(dat, boxtimings, ROI, timings, nbox, lenbox, TR, maximum = TRUE )
t(fbrbetafunc(dat, boxtimings, ROI, timings, nbox, lenbox, TR, all.beta = TRUE ))

sremmers/FBRbeta documentation built on May 14, 2019, 8:18 a.m.