spm12_contrast: Build contrasts for SPM12 first level model

In muschellij2/spm12r: Wrapper Functions for 'SPM' (Statistical Parametric Mapping) Version 12 from the 'Wellcome' Trust Centre for 'Neuroimaging'

Build contrasts for SPM12 first level model

Description

Build contrasts for SPM12 first level model

Usage

spm12_contrast(
  name,
  weights,
  replicate = c("none", "repl", "replsc", "sess", "both", "bothsc")
)

spm12_contrast_list(cons, type = "T")

Arguments

name	Name of the contrast
weights	Weights of the contrast, must be the same length as the number of regressors
replicate	If there are multiple sessions with identical conditions, one might want to specify contrasts which are identical over sessions. Options are no replication (none), replicate (repl), replicate + scale (replsc), create per session (sess), Both: Replicate + Create per session (both), Both: Replicate + Scale + Create per session (bothsc)
cons	List of contrasts
type	type of contrast, T-statistic or F-statistic

Value

A list of objects, each with a name and value

Examples

res = spm12_contrast(name = "condition1", weights = c(
1, rep(0, 8)))
print(res)
contrasts = list(
list(name = "LeftHand",
       weights = c(1, rep(0, 7)),
replicate = "none",
type = "T" ),
list(name = "RightHand",
weights = c(0, 1, rep(0, 6)),
replicate = "none",
type = "T"), 
list(name = "AllEffects",
weights = rbind(
c(1, rep(0, 7)),
         c(0, 1, rep(0, 6))
       ),
replicate = "none",
type = "F")   
)
res = spm12_contrast_list(contrasts)
print(res)

muschellij2/spm12r documentation built on Aug. 31, 2022, 9:49 p.m.