Other packages > Find by keyword >

LindenmayeR  

Functions to Explore L-Systems (Lindenmayer Systems)
View on CRAN: Click here


Download and install LindenmayeR package within the R console
Install from CRAN:
install.packages("LindenmayeR")

Install from Github:
library("remotes")
install_github("cran/LindenmayeR")

Install by package version:
library("remotes")
install_version("LindenmayeR", "0.1.13")



Attach the package and use:
library("LindenmayeR")
Maintained by
Bryan Hanson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-08-12
Latest Update: 2017-07-31
Description:
L-systems or Lindenmayer systems are parallel rewriting systems which can be used to simulate biological forms and certain kinds of fractals. Briefly, in an L-system a series of symbols in a string are replaced iteratively according to rules to give a more complex string. Eventually, the symbols are translated into turtle graphics for plotting. Wikipedia has a very good introduction: en.wikipedia.org/wiki/L-system This package provides basic functions for exploring L-systems.
How to cite:
Bryan Hanson (2014). LindenmayeR: Functions to Explore L-Systems (Lindenmayer Systems). R package version 0.1.13, https://cran.r-project.org/web/packages/LindenmayeR. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.1-0 (2014-08-12 23:08), 0.1.4 (2015-04-16 23:34), 0.1.6 (2015-07-16 14:54)
Other packages that cited LindenmayeR R package
View LindenmayeR citation profile
Other R packages that LindenmayeR depends, imports, suggests or enhances
Complete documentation for LindenmayeR
Functions, R codes and Examples using the LindenmayeR R package
Some associated functions: LindenmayeR-package . Lsys . drawLsys . 
Some associated R codes: LindenmayeR-package.R . Lsys.R . drawLsys.R .  Full LindenmayeR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA