convert-fst

convert_fst_to_hdf5

convert_fst_to_csv

'HDF5', 'csv' are common file formats that can be easily
read into 'Matlab' or 'Python'

Includes multiple cross-platform read/write interfaces for
'RAVE' project. 'RAVE' stands for "R analysis and visualization of human
intracranial electroencephalography data". The whole project aims at
providing powerful free-source package that analyze brain recordings from
patients with electrodes placed on the cortical surface or inserted into
the brain. 'raveio' as part of this project provides tools to read/write
neurophysiology data from/to 'RAVE' file structure, as well as several
popular formats including 'EDF(+)', 'Matlab', 'BIDS-iEEG', and 'HDF5',
etc. Documentation and examples about 'RAVE' project are provided at
<https://openwetware.org/wiki/RAVE>, and the paper by John F. Magnotti,
Zhengjia Wang, Michael S. Beauchamp (2020)
<doi:10.1016/j.neuroimage.2020.117341>; see 'citation("raveio")' for
details.

Zhengjia Wang

raveio

File-System Toolbox for RAVE Project

Beauchamp lab 

convert-fst function

<dl><dt>fst_path</dt>
<dd>path to 'fst' file</dd>
<dt>hdf5_path</dt>
<dd>path to 'HDF5' file; if file exists before the conversion,
the file will be erased first. Please make sure the files are backed up.</dd>
<dt>exclude_names</dt>
<dd>table names to exclude</dd>
<dt>csv_path</dt>
<dd>path to 'csv' file; if file exists before the conversion,
the file will be erased first. Please make sure the files are backed up.</dd></dl>

Arguments

Convert 'fst' files to other formats — convert-fst

<dl>

<dt>fst_path</dt>
<dd>path to 'fst' file</dd>


<dt>hdf5_path</dt>
<dd>path to 'HDF5' file; if file exists before the conversion,
the file will be erased first. Please make sure the files are backed up.</dd>


<dt>exclude_names</dt>
<dd>table names to exclude</dd>


<dt>csv_path</dt>
<dd>path to 'csv' file; if file exists before the conversion,
the file will be erased first. Please make sure the files are backed up.</dd>

</dl>

convert-fst: Convert 'fst' files to other formats

Description

Usage

Value

Arguments