Package: WoodSimulatR 0.6.2

Andreas Weidenhiller

WoodSimulatR: Generate Simulated Sawn Timber Strength Grading Data

Tools for generating simulated sawn timber strength grading data with a main focus on statistical simulation based on covariance matrices. Simulation data for Norway spruce sawn timber from Austria and reference values of means and standard deviations of grade determining properties from literature for a number of European countries are provided, as well.

Authors:Andreas Weidenhiller [cre, aut], Anton Wegscheider [aut]

WoodSimulatR_0.6.2.tar.gz
WoodSimulatR_0.6.2.tar.gz(r-4.5-noble)WoodSimulatR_0.6.2.tar.gz(r-4.4-noble)
WoodSimulatR_0.6.2.tgz(r-4.4-emscripten)WoodSimulatR_0.6.2.tgz(r-4.3-emscripten)
WoodSimulatR.pdf |WoodSimulatR.html✨
WoodSimulatR/json (API)
NEWS

# Install 'WoodSimulatR' in R:

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

Datasets:

gdp_data - Means and standard deviations of grade determining properties (GDPs) from literature
ws_be - Predefined simbases in WoodSimulatR
ws_be_logf - Predefined simbases in WoodSimulatR
ws_be_te - Predefined simbases in WoodSimulatR
ws_be_te_logf - Predefined simbases in WoodSimulatR
ws_be_tr - Predefined simbases in WoodSimulatR
ws_be_tr_logf - Predefined simbases in WoodSimulatR
ws_t - Predefined simbases in WoodSimulatR
ws_t_logf - Predefined simbases in WoodSimulatR
ws_t_te - Predefined simbases in WoodSimulatR
ws_t_te_logf - Predefined simbases in WoodSimulatR
ws_t_tr - Predefined simbases in WoodSimulatR
ws_t_tr_logf - Predefined simbases in WoodSimulatR

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 250 downloads 7 exports 21 dependencies

Last updated 30 days agofrom:d31bb3ef85. Checks:3 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Apr 02 2025
R-4.5-linux	OK	Apr 02 2025
R-4.4-linux	OK	Apr 02 2025

Exports:get_subsample_definitions get_transform_names simbase_covar simbase_labeler simbase_list simulate_conditionally simulate_dataset

Dependencies:cli cpp11 dplyr fansi generics glue lifecycle magrittr pillar pkgconfig purrr R6 rlang stringi stringr tibble tidyr tidyselect utf8 vctrs withr

Basics of simulating sawn timber strength with WoodSimulatR

Rendered fromwoodsimulatr_basics.Rmdusingknitr::rmarkdownon Apr 02 2025.

Last update: 2025-03-03
Started: 2020-11-10

Citation

To cite package ‘WoodSimulatR’ in publications use:

Weidenhiller A, Wegscheider A (2025). WoodSimulatR: Generate Simulated Sawn Timber Strength Grading Data. R package version 0.6.2, https://CRAN.R-project.org/package=WoodSimulatR.

Corresponding BibTeX entry:

  @Manual{,
    title = {WoodSimulatR: Generate Simulated Sawn Timber Strength
      Grading Data},
    author = {Andreas Weidenhiller and Anton Wegscheider},
    year = {2025},
    note = {R package version 0.6.2},
    url = {https://CRAN.R-project.org/package=WoodSimulatR},
  }

Readme and manuals

WoodSimulatR

The WoodSimulatR package has been developed in the project InnoGrading by Holzforschung Austria (https://www.holzforschung.at).

It provides tools for generating simulated sawn timber strength grading data.

The main focus is statistical simulation based on covariance matrices.

WoodSimulatR also contains pre-stored simulation data for Norway spruce (Picea abies) sawn timber from Austria and reference values of means and standard deviations of grade determining properties (GDPs) from literature for a number of European countries.

Installation

You can install the released version of WoodSimulatR from CRAN with:

install.packages("WoodSimulatR")

Vignette

The most important use cases are explained in the vignette woodsimulatr_basics which can be accessed by:

vignette('woodsimulatr_basics', package = 'WoodSimulatR')

Acknowledgements

The project InnoGrading was funded by the Austrian Research Promotion Agency (FFG; project nr. 869170).

The package WoodSimulatR was inspired by the work of Ranta-Maunus and Turk (2010).

References

Ranta-Maunus, Alpo, and Goran Turk. 2010. “Approach of Dynamic Production Settings for Machine Strength Grading.” In 11th World Conference on Timber Engineering 2010 (WCTE 2010), edited by A. Ceccotti and Jan-Willem G. van de Kuilen.

Help Manual

Help page	Topics
Means and standard deviations of grade determining properties (GDPs) from literature	gdp_data
Retrieve descriptive data for samples from literature	get_subsample_definitions
Return labels for given transforms	get_transform_names
Predefined simbases in WoodSimulatR	simbase ws_be ws_be_logf ws_be_te ws_be_te_logf ws_be_tr ws_be_tr_logf ws_t ws_t_logf ws_t_te ws_t_te_logf ws_t_tr ws_t_tr_logf
Calculate reference data for simulating values based on a covariance matrix approach	simbase_covar
Default labelling function for simbase objects	simbase_labeler
Wrapper for the 'simbase_*' functions for grouped data	simbase_list
Add simulated values to a dataset conditionally, based on a 'simbase_*' object	simulate_conditionally
Add simulated values to a dataset conditionally, based on a 'simbase_list' object	simulate_conditionally.simbase_list
Generate an artificial dataset with correlated variables	simulate_dataset