Introduction | Aim of this document | Simulate a whole dataset | Preliminaries | Default dataset | Customising options | Available subsample definitions | Tensile tests | Bending tests | Simulated dataset with data from specific countries | Different subsample sizes | Own specification of means and standard deviations | Further available options | Add simulated values to a dataset | simbase_covar without transformation | simbase_covar with log-transformed $f$ | simbase_covar with log-transformed $f$ and derived on a grouped dataset | Simulate a whole dataset, based on a simbase_list object | Conclusions | References
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:
WoodSimulatR_0.6.2.tar.gz
WoodSimulatR_0.6.2.tar.gz(r-4.7-any)WoodSimulatR_0.6.2.tar.gz(r-4.6-any)
WoodSimulatR_0.6.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
WoodSimulatR/json (API)
| # 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
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:d31bb3ef85. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 127 | ||
| source / vignettes | OK | 198 | ||
| linux-release-x86_64 | OK | 125 | ||
| wasm-release | OK | 126 |
Exports:get_subsample_definitionsget_transform_namessimbase_covarsimbase_labelersimbase_listsimulate_conditionallysimulate_dataset
Dependencies:clicpp11dplyrgenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr
Readme and manuals
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 |