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easystats
datawizard:Easy Data Wrangling and Statistical Transformations
A lightweight package to assist in key steps involved in any data analysis workflow: (1) wrangling the raw data to get it in the needed form, (2) applying preprocessing steps and statistical transformations, and (3) compute statistical summaries of data properties and distributions. It is also the data wrangling backend for packages in 'easystats' ecosystem. References: Patil et al. (2022) <doi:10.21105/joss.04684>.
Maintained by Etienne Bacher. Last updated 4 days ago.
datadplyrhacktoberfestjanitormanipulationreshapetidyrwrangling
223 stars 14.77 score 436 scripts 120 dependents
kurthornik
slam:Sparse Lightweight Arrays and Matrices
Data structures and algorithms for sparse arrays and matrices, based on index arrays and simple triplet representations, respectively.
Maintained by Kurt Hornik. Last updated 5 months ago.
2 stars 9.45 score 1.3k scripts 308 dependents
thk686
strider:Strided Iterator and Range
The strided iterator adapts multidimensional buffers to work with the C++ standard library and range-based for-loops. Given a pointer or iterator into a multidimensional data buffer, one can generate an iterator range using make_strided to construct strided versions of the standard library's begin and end. For constructing range-based for-loops, a strided_range class is provided. These help authors to avoid integer-based indexing, which in some cases can impede algorithm performance and introduce indexing errors. This library exists primarily to expose the header file to other R projects.
Maintained by Tim Keitt. Last updated 5 years ago.
4 stars 4.34 score 11 scripts