Package index • fmridataset

All functions

as.matrix_dataset(): Convert to Matrix Dataset

blockids(): Get block IDs from sampling frame

blocklens(): Get Block Lengths from Objects

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

fmri_dataset(): Create an fMRI Dataset Object from a Set of Scans

fmri_h5_dataset(): Create an fMRI Dataset Object from H5 Files

fmri_latent_dataset(): Create an fMRI Dataset Object from LatentNeuroVec Files or Objects

fmri_mem_dataset(): Create an fMRI Memory Dataset Object

generics: Generic Functions for fMRI Dataset Operations

get_TR(): Get TR from sampling frame

get_data(): Get Data from fMRI Dataset Objects

get_data_matrix(): Get Data Matrix from fMRI Dataset Objects

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_total_duration(): Get total duration from sampling frame

global_onsets(): Get global onsets from sampling frame

is.sampling_frame(): Test if Object is a Sampling Frame

latent_backend(): Create a Latent Backend

latent_dataset(): Create a Latent Dataset Object

matrix_dataset(): Matrix Dataset Constructor

n_runs(): Get number of runs from sampling frame

n_timepoints(): Get number of timepoints from sampling frame

print(<fmri_dataset>) print(<latent_dataset>) print(<chunkiter>) print(<data_chunk>) print(<matrix_dataset>): Pretty Print a Chunk Iterator

read_fmri_config(): read a basic fMRI configuration file

samples(): Get samples from sampling frame

sampling_frame(): Sampling Frame for fMRI Temporal Structure