Read and Write '.ini' Files

Parse simple '.ini' configuration files to an structured list. Users can manipulate this resulting list with lapply() functions. This same structured list can be used to write back to file after modifications.

Manipulation of Microsoft Word and PowerPoint Documents

Access and manipulate 'Microsoft Word', 'RTF' and 'Microsoft PowerPoint' documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. The package does not require any installation of Microsoft products to be able to write Microsoft files.

Extract Genotypes from a PLINK .bed File

A matrix-like data structure that allows for efficient, convenient, and scalable subsetting of binary genotype/phenotype files generated by PLINK (< https://www.cog-genomics.org/plink2>), the whole genome association analysis toolset, without loading the entire file into memory.

Byte Pair Encoding Text Tokenization

Unsupervised text tokenizer focused on computational efficiency. Wraps the 'YouTokenToMe' library < https://github.com/VKCOM/YouTokenToMe> which is an implementation of fast Byte Pair Encoding (BPE) < https://aclanthology.org/P16-1162/>.

Creates Log Files

Contains functions to help create log files. The package aims to overcome the difficulty of the base R sink() command. The log_print() function will print to both the console and the file log, without interfering in other write operations.

Reads in 'Neuroimaging' 'GIFTI' Files with Geometry Information

Functions to read in the geometry format under the 'Neuroimaging' 'Informatics' Technology Initiative ('NIfTI'), called 'GIFTI' < https://www.nitrc.org/projects/gifti/>. These files contain surfaces of brain imaging data.

Functional Data Analysis

These functions were developed to support functional data analysis as described in Ramsay, J. O. and Silverman, B. W. (2005) Functional Data Analysis. New York: Springer and in Ramsay, J. O., Hooker, Giles, and Graves, Spencer (2009). Functional Data Analysis with R and Matlab (Springer). The package includes data sets and script files working many examples including all but one of the 76 figures in this latter book. Matlab versions are available by ftp from < https://www.psych.mcgill.ca/misc/fda/downloads/FDAfuns/>.

Read SDMX-XML Data

Read Statistical Data and Metadata Exchange (SDMX) XML data. This the main transmission format used in official statistics. Data can be imported from local SDMX-ML files or a SDMX web-service and will be read in 'as is' into a dataframe object. The 'RapidXML' C++ library < https://rapidxml.sourceforge.net/> is used to parse the XML data.

Access the System Credential Store from R

Platform independent 'API' to access the operating system's credential store. Currently supports: 'Keychain' on 'macOS', Credential Store on 'Windows', the Secret Service 'API' on 'Linux', and simple, platform independent stores implemented with environment variables or encrypted files. Additional storage back-ends can be added easily.

Import 'Stata' Data Files

Function to read and write the 'Stata' file format.