Efficient reading of raw markdown tables into tibbles. Designed to
    accept content from strings, files, and URLs with the ability to extract
    and read multiple tables from markdown for analysis.

Convert README.md to vignettes when installing packages without vignettes.

Contains tools for reading and writing data from or to files in the formats: akterm, dmna, Scintec Format-1, and Campbell Scientific TOA5.

Clinical care data from 130 U.S. hospitals in the years 1999-2008
    adapted from the study Strack et al. (2014) <doi:10.1155/2014/781670>. 
    Each row describes an "encounter" with a patient with diabetes, including 
    variables on demographics, medications, patient history, diagnostics, 
    payment, and readmission.

Functions for reading data sets in different formats
  for testing machine learning tools are provided. This allows to run
  a loop over several data sets in their original form, for example
  if they are downloaded from UCI Machine Learning Repository.
  The data are not part of the package and have to be downloaded
  separately.

Tools to read various file types into one list of data structures, usually, but not limited to, data frames.
  Excel files are read sheet-wise, i.e., all or a selection of sheets can be read. Field delimiters and decimal
  separators are determined automatically.

Functions for reading mass spectrometry data in mzXML format.

Loads 'Blackrock' <https://blackrockneurotech.com> neural signal 
    data files into the memory, provides utility tools to extract the data into 
    common formats such as plain-text 'tsv' and 'HDF5'.

Wraps 'tiny_obj_loader' C++ library for reading the 'Wavefront' OBJ
    3D file format including both mesh objects and materials files. The
    resultant R objects are either structured to match the 'tiny_obj_loader'
    internal data representation or in a form directly compatible with the 'rgl'
    package.

Read ODS (OpenDocument Spreadsheet) into R as data frame. Also support writing data frame into ODS file.