Find R Scripts, R Markdown, PDF and Text Files by Content with Pattern Matching (findR)
Scans all directories and subdirectories of a path for R scripts, R Markdown, PDF or text files containing a specific pattern. Hits can be copied to a new folder.

Novel Statistical Methods for Studying Near-Infrared Spectroscopy (NIRS) Time Series Data (NIRStat)
Provides transfusion-related differential tests on Near-infrared spectroscopy (NIRS) time series with detection limit, which contains two testing statistics: Mean Area Under the Curve (MAUC) and slope statistic. This package applied a penalized spline method within an imputation setting. Testing is conducted by a nested permutation approach within imputation. Refer to Guo et al (2018) <arXiv:1801.08153> for further details.

Read Tables in Chunks (chunkR)
Read external data tables in chunks using a C++ backend.

Visualizations of High-Dimensional Data (DataVisualizations)
Various visualizations of high-dimensional data such as heat map and silhouette plot for grouped data, visualizations of the distribution of distances, the scatter-density plot for two variables, the Shepard density plot and many more are presented here. Additionally, ‘DataVisualizations’ makes it possible to inspect the distribution of each feature of a dataset visually through the combination of four methods. More detailed explanations can be found in the book of Thrun, M.C.:’Projection-Based Clustering through Self-Organization and Swarm Intelligence’ (2018) <DOI:10.1007/978-3-658-20540-9>.

Network Analysis and Visualization (networkR)
Collection of functions for fast manipulation, handling, and analysis of large-scale networks based on family and social data. Functions are utility functions used to manipulate data in three ‘formats’: sparse adjacency matrices, pedigree trio family data, and pedigree family data. When possible, the functions should be able to handle millions of data points quickly for use in combination with data from large public national registers and databases. Kenneth Lange (2003, ISBN:978-8181281135).