Package index • fmridataset

All functions

all_selector(): All Voxels Series Selector
as.matrix(<fmri_series>): Convert fmri_series to Matrix
as.matrix_dataset(): Convert to Matrix Dataset
as_delarr(): Convert backend to a delarr lazy matrix
as_delayed_array(<matrix_dataset>) as_delayed_array(<fmri_file_dataset>) as_delayed_array(<fmri_mem_dataset>): Convert Dataset Objects to DelayedArray
as_delayed_array(): Convert Backend to DelayedArray
as_fmri_group(): Coerce a data frame into an fmri_group
as_tibble(<fmri_series>): Convert fmri_series to Tibble
as_tibble(<fmri_study_dataset>): Convert fmri_study_dataset to a tibble or lazy matrix
blockids(): Get Block IDs from Sampling Frame
blocklens(): Get Block Lengths from Objects
collect_chunks(): Collect all chunks from a chunk iterator
create_backend(): Create Backend Instance
data_chunk(): Create a Data Chunk Object
data_chunks(): Create Data Chunks for Processing
data_chunks(<fmri_file_dataset>): Create Data Chunks for fmri_file_dataset Objects
data_chunks(<fmri_mem_dataset>): Create Data Chunks for fmri_mem_dataset Objects
data_chunks(<matrix_dataset>): Create Data Chunks for matrix_dataset Objects
dim(<fmri_series>): Dimensions of fmri_series
exec_strategy(): Create an Execution Strategy for Data Processing
filter_subjects(): Filter subjects in an fmri_group
fmri_cache_info(): Get cache information and statistics
fmri_cache_resize(): Resize the fmridataset cache
fmri_clear_cache(): Clear fmridataset cache
fmri_dataset(): Create an fMRI Dataset Object from a Set of Scans
fmri_dataset_legacy(): Legacy fMRI Dataset Constructor
fmri_group(): Create an fmri_group (one row per subject)
fmri_h5_dataset(): Create an fMRI Dataset Object from H5 Files
fmri_latent_dataset() deprecated: Create an fMRI Dataset Object from LatentNeuroVec Files or Objects
fmri_mem_dataset(): Create an fMRI Memory Dataset Object
fmri_series(): fmri_series: fMRI Time Series Container
fmri_series_resolvers: Helpers for fmri_series spatial and temporal selection
fmri_study_dataset(): Create an fmri_study_dataset
fmri_zarr_dataset(): Create an fMRI Dataset from Zarr Arrays
generate_golden_test_data(): Generate Golden Test Data
generics: Generic Functions for fMRI Dataset Operations
get_TR(): Get TR (Repetition Time) from Sampling Frame
get_backend_registry(): Get Registered Backend Information
get_component_info(): Get Component Information
get_data(): Get Data from fMRI Dataset Objects
get_data_matrix(): Get Data Matrix from fMRI Dataset Objects
get_latent_scores(): Get Latent Scores from Dataset
get_mask(): Get Mask from fMRI Dataset Objects
get_run_duration(): Get Run Duration from Sampling Frame
get_run_lengths(): Get Run Lengths from Sampling Frame
get_spatial_loadings(): Get Spatial Loadings from Dataset
get_total_duration(): Get Total Duration from Sampling Frame
group_map(): Map a function over subjects in an fmri_group
group_reduce(): Reduce over subjects in a single pass
index_selector(): Index-based Series Selector
is.fmri_series(): Check if object is an fmri_series
is.sampling_frame(): Test if Object is a Sampling Frame
is_backend_registered(): Check if Backend is Registered
iter_subjects(): Iterate subjects one-by-one (streaming)
latent_dataset(): Latent Dataset Interface
left_join_subjects(): Left join additional subject metadata
list_backend_names(): List Registered Backend Names
mask_selector(): Mask-based Series Selector
matrix_dataset(): Matrix Dataset Constructor
mutate_subjects(): Mutate subject-level attributes
n_runs(): Get Number of Runs from Sampling Frame
n_subjects(): Number of subjects in a group
n_timepoints(): Get Number of Timepoints from Sampling Frame
ncol(<fmri_series>): Number of columns in fmri_series
nrow(<fmri_series>): Number of rows in fmri_series
print(<fmri_dataset>) summary(<fmri_dataset>) print(<chunkiter>) print(<data_chunk>) print(<matrix_dataset>): Print Methods for fmridataset Objects
print(<backend_registry>): Print Backend Registry
print(<fmri_series>): Print Method for fmri_series Objects
print(<series_selector>): Print Methods for Series Selectors
read_fmri_config(): read a basic fMRI configuration file
reconstruct_voxels(): Reconstruct Voxel Data from Latent Representation
register_backend(): Register a Storage Backend
resolve_indices(): Resolve Indices from Series Selector
roi_selector(): ROI-based Series Selector
sample_subjects(): Sample subjects from an fmri_group
samples(): Get Sample Indices from Sampling Frame
series(): Deprecated alias for fmri_series
series_selector: Series Selector Classes for fMRI Data
sphere_selector(): Spherical ROI Series Selector
stream_subjects(): Stream subjects with optional ordering
study_backend(): Study Backend
subject_ids(): Get Subject IDs from Multi-Subject Dataset
subjects() `subjects<-`(): Access the subjects tibble stored inside an fmri_group
unregister_backend(): Unregister a Backend
update_golden_test_data(): Update Golden Test Data
validate_fmri_group(): Validate an fmri_group object
validate_golden_test_data(): Validate Golden Test Data
voxel_selector(): Voxel Coordinate Series Selector
with_rowData(): Attach rowData metadata to a lazy matrix
write_fmri_config(): Write fMRI configuration file