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Collatz: R šŸ“ā€ā˜ ļøšŸ”µšŸ¦œ

Functions related to the Collatz/Syracuse/3N+1 problem, implemented in R.

Getting Started

To install the latest from github, with devtools;

Rscript -e 'devtools::install_github("Skenvy/Collatz", subdir="R")'

To install a specific GitHub releaseā€™s tarball (all R-v* tagged releases include a collatz_*.tar.gz, simply copy the below and change the example version from 0.1.0 to whichever version you want);

VER=1.0.0 && curl -L https://github.com/Skenvy/Collatz/releases/download/R-v${VER}/collatz_${VER}.tar.gz > collatz_${VER}.tar.gz && Rscript -e "install.packages('collatz_${VER}.tar.gz', repos=NULL, type='source')"

To install the latest from CRAN (relevancy pending the submission to CRAN and its ongoing stability);

Rscript -e 'install.packages("collatz")'

Usage

Provides the basic functionality to interact with the Collatz conjecture. The parameterisation uses the same (P,a,b) notation as Conwayā€™s generalisations. Besides the function and reverse function, there is also functionality to retrieve the hailstone sequence, the ā€œstopping timeā€/ā€œtotal stopping timeā€, or tree-graph. The only restriction placed on parameters is that both P and a canā€™t be 0.

Roxygen2+Pkgdown generated docs

Covr+DT generated Coverage

Rd2pdf+TinyTex Generated PDF

Developing

The first time setup

On a debian system, this should be most of the required setup.

git clone https://github.com/Skenvy/Collatz.git && cd Collatz/R && sudo make setup_debian && make setup && make setup_libraries

Iterative development

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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