Constructs a new `hyperdesign` object that encapsulates a collection of `multidesign` objects. Used to model multi-group, multi-block, or multi-view datasets, where each block/group/view is associated with a matrix-variate response and an arbitrary design.
Value
A hyperdesign object with the following components:
- blocks
List of multidesign objects
- block_names
Names of each block
- col_indices
Matrix of column start/end indices for each block
- row_indices
Matrix of row start/end indices for each block
Details
A hyperdesign object represents a collection of related multivariate datasets (multidesign instances) that share common design variables. This structure is particularly useful for: * Multiple subjects in an experiment * Multiple sessions or runs * Multiple data modalities (e.g., fMRI, EEG, behavioral) * Multiple response measures
See also
df_to_hyperdesign for creating hyperdesign objects from data frames,
multidesign for the underlying multidesign structure,
multiblock for another multi-block data structure
Examples
# Create three multidesign objects (e.g., for three subjects)
d1 <- multidesign(
matrix(rnorm(10*20), 10, 20),
data.frame(y=1:10, subject=1, run=rep(1:5, 2))
)
d2 <- multidesign(
matrix(rnorm(10*20), 10, 20),
data.frame(y=1:10, subject=2, run=rep(1:5, 2))
)
d3 <- multidesign(
matrix(rnorm(10*20), 10, 20),
data.frame(y=1:10, subject=3, run=rep(1:5, 2))
)
# Combine into a hyperdesign
hd <- hyperdesign(
list(d1, d2, d3),
block_names = c("subject1", "subject2", "subject3")
)