Functions related to the Collatz/Syracuse/3N+1 problem, implemented in R.
To install the latest from github, with devtools;
Rscript -e 'devtools::install_github("Skenvy/Collatz", subdir="R")'
To install a
specific GitHub releaseās 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")'
Provides the basic functionality to interact with the Collatz
conjecture. The parameterisation uses the same (P,a,b)
notation as Conwayās generalisations. Besides the function and reverse
function, there is also functionality to retrieve the hailstone
sequence, the āstopping timeā/ātotal stopping timeā, or tree-graph. The
only restriction placed on parameters is that both P
and
a
canāt be 0
.
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
make docs_local
to start a local server to browse the docs
generated by roxygen2, pkgdown, covr, Rd2pdf and TinyTex, served by
servr.make full_test
will verify the integrity of the package
after passing the tests, as passing the tests is a lower threshold than
package structure.