This package is considered a duplicate. The official version of this package is found at:https://spsanderson.r-universe.dev/RandomWalker

Package: RandomWalker 0.2.0

Steven Sanderson

RandomWalker: Generate Random Walks Compatible with the 'tidyverse'

Generates random walks of various types by providing a set of functions that are compatible with the 'tidyverse'. The functions provided in the package make it simple to create random walks with a variety of properties, such as how many simulations to run, how many steps to take, and the distribution of random walk itself.

Authors:Steven Sanderson [aut, cre, cph], Antti Rask [aut, cph]

RandomWalker_0.2.0.tar.gz
RandomWalker_0.2.0.tar.gz(r-4.5-noble)RandomWalker_0.2.0.tar.gz(r-4.4-noble)
RandomWalker_0.2.0.tgz(r-4.4-emscripten)RandomWalker_0.2.0.tgz(r-4.3-emscripten)
RandomWalker.pdf |RandomWalker.html✨
RandomWalker/json (API)
NEWS

# Install 'RandomWalker' in R:

install.packages('RandomWalker', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/spsanderson/randomwalker/issues

Pkgdown:https://www.spsanderson.com

3.48 score 1 packages 5 scripts 557 downloads 32 exports 80 dependencies

Last updated 2 months agofrom:e278e95282. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Nov 23 2024
R-4.5-linux	OK	Nov 23 2024

Exports:brownian_motion cgmean chmean ckurtosis cmean cmedian convert_snake_to_title_case crange csd cskewness cvar discrete_walk euclidean_distance generate_caption geometric_brownian_motion get_attributes kurtosis_vec rand_walk_helper random_normal_drift_walk random_normal_walk running_quantile rw_range rw30 skewness_vec std_cum_max_augment std_cum_mean_augment std_cum_min_augment std_cum_prod_augment std_cum_sum_augment summarise_walks summarize_walks visualize_walks

Dependencies:base64enc bslib cachem cli codetools colorspace cpp11 curl data.table digest doParallel dplyr evaluate fansi farver fastmap fontawesome foreach fs generics ggiraph ggplot2 glue gtable highr htmltools htmlwidgets isoband iterators jquerylib jsonlite knitr labeling lattice lifecycle magrittr MASS Matrix memoise mgcv mime munsell nlme NNS patchwork pillar pkgconfig purrr quantmod R6 rappdirs RColorBrewer Rcpp RcppArmadillo RcppGSL RcppParallel RcppZiggurat Rfast rgl rlang rmarkdown sass scales stringi stringr systemfonts tibble tidyr tidyselect tinytex TTR utf8 uuid vctrs viridisLite withr xfun xts yaml zoo

Getting Started with RandomWalker

Rendered fromgetting-started.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2024-10-23
Started: 2024-09-16

Citation

Readme and manuals

Help Manual

Help page	Topics
Brownian Motion	brownian_motion
Cumulative Geometric Mean	cgmean
Cumulative Harmonic Mean	chmean
Cumulative Kurtosis	ckurtosis
Cumulative Mean	cmean
Cumulative Median	cmedian
Helper function to convert a snake_case string to Title Case	convert_snake_to_title_case
Cumulative Range	crange
Cumulative Standard Deviation	csd
Cumulative Skewness	cskewness
Cumulative Variance	cvar
Discrete Sampled Walk	discrete_walk
Distance Calculations	euclidean_distance
Helper function to generate a caption string based on provided attributes	generate_caption
Geometric Brownian Motion	geometric_brownian_motion
Get Attributes	get_attributes
Compute Kurtosis of a Vector	kurtosis_vec
Random Walk Helper	rand_walk_helper
Generate Multiple Random Walks with Drift	random_normal_drift_walk
Generate Multiple Random Normal Walks	random_normal_walk
Running Quantile Calculation	running_quantile
Range	rw_range
Generate Random Walks	rw30
Compute Skewness of a Vector	skewness_vec
Augment Cumulative Maximum	std_cum_max_augment
Augment Cumulative Sum	std_cum_mean_augment
Augment Cumulative Minimum	std_cum_min_augment
Augment Cumulative Product	std_cum_prod_augment
Augment Cumulative Sum	std_cum_sum_augment
Summarize Walks Data	summarise_walks summarize_walks
Visualize Walks	visualize_walks