spm12_regressor: Build Regressors for SPM12 first level model

In spm12r: Wrapper Functions for 'SPM' (Statistical Parametric Mapping) Version 12 from the 'Wellcome' Trust Centre for 'Neuroimaging'

Description

Build Regressors for SPM12 first level model

Usage

spm12_regressor(name, value, n_time_points)

spm12_regressor_list(reg, n_time_points)

Arguments

name	Name of the regressor
value	Value of the regressor, must be the same length as n_time_points
n_time_points	Number of time points for the analysis
reg	List of regressors

Value

A list of objects, each with a name and value

Examples

res = spm12_regressor(name = "condition1", value = c(
rep(1, 10), rep(0, 10)), n_time_points = 20)
print(res)
L = list(
cond1 = list(value = c(rep(1, 10), rep(0, 10)), n_time_points = 20),
cond2 = list(value = c(rep(0, 10), rep(1, 10)), n_time_points = 20)
)
res = spm12_regressor_list(L, n_time_points = 20)
print(res)

Example output

$name
[1] "'condition1'"

$value
[1] "[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0];"

$`(1)`
$`(1)`$name
[1] "'cond1'"

$`(1)`$value
[1] "[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0];"


$`(2)`
$`(2)`$name
[1] "'cond2'"

$`(2)`$value
[1] "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1];"

spm12r documentation built on March 4, 2021, 9:11 a.m.