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The returned tibble contains one row per voxel/timepoint combination with metadata columns from temporal_info and voxel_info and a signal column with the data values.

Usage

# S3 method for class 'fmri_series'
as_tibble(x, ...)

Arguments

x

An fmri_series object

...

Additional arguments (ignored)

Value

A tibble with columns from temporal_info, voxel_info, and a signal column containing the fMRI signal values

See also

fmri_series for the class definition, as.matrix.fmri_series for matrix conversion

Examples

# \donttest{
# Create small example
mat <- matrix(rnorm(12), nrow = 3, ncol = 4)

backend <- matrix_backend(mat, mask = rep(TRUE, ncol(mat)))
dataset <- fmri_dataset(backend, TR = 1, run_length = nrow(mat))
fs <- fmri_series(dataset)

# Convert to tibble
tbl_result <- tibble::as_tibble(fs)
# Result has 12 rows (3 timepoints x 4 voxels)
# with columns: time, voxel, signal
# }