Input Data | Working With Data | Normalizing Data to Cured Ply Thickness | Calculating Single-Point Basis Value | Calculating Basis Values by Pooling Across Environments | Checking for Outliers | Batch-to-Batch Distribution | Checking for Outliers Within Each Condition | Investigation Conditions | Pooling Across Environments | Equivalency
Package: cmstatr 0.10.0
Stefan Kloppenborg
cmstatr: Statistical Methods for Composite Material Data
An implementation of the statistical methods commonly used for advanced composite materials in aerospace applications. This package focuses on calculating basis values (lower tolerance bounds) for material strength properties, as well as performing the associated diagnostic tests. This package provides functions for calculating basis values assuming several different distributions, as well as providing functions for non-parametric methods of computing basis values. Functions are also provided for testing the hypothesis that there is no difference between strength and modulus data from an alternate sample and that from a "qualification" or "baseline" sample. For a discussion of these statistical methods and their use, see the Composite Materials Handbook, Volume 1 (2012, ISBN: 978-0-7680-7811-4). Additional details about this package are available in the paper by Kloppenborg (2020, <doi:10.21105/joss.02265>).
Authors:
cmstatr_0.10.0.tar.gz
cmstatr_0.10.0.zip(r-4.7)cmstatr_0.10.0.zip(r-4.6)cmstatr_0.10.0.zip(r-4.5)
cmstatr_0.10.0.tgz(r-4.6-any)cmstatr_0.10.0.tgz(r-4.5-any)
cmstatr_0.10.0.tar.gz(r-4.7-any)cmstatr_0.10.0.tar.gz(r-4.6-any)
cmstatr_0.10.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cmstatr/json (API)
| # Install 'cmstatr' in R: |
| install.packages('cmstatr', repos = c('https://cmstatr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cmstatr/cmstatr/issues
Pkgdown/docs site:https://www.cmstatr.net
Datasets:
- carbon.fabric - Sample data for a generic carbon fabric
- carbon.fabric.2 - Sample data for a generic carbon fabric
composite-material-datadatamaterials-sciencestatistical-analysisstatistics
Last updated from:365f2fdbe1. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 173 | ||
| source / vignettes | OK | 234 | ||
| linux-release-x86_64 | NOTE | 171 | ||
| macos-release-arm64 | NOTE | 177 | ||
| macos-oldrel-arm64 | NOTE | 221 | ||
| windows-devel | NOTE | 143 | ||
| windows-release | NOTE | 134 | ||
| windows-oldrel | NOTE | 125 | ||
| wasm-release | OK | 120 |
Exports:ad_ksampleanderson_darling_lognormalanderson_darling_normalanderson_darling_weibullaugmentbasis_anovabasis_hk_extbasis_lognormalbasis_nonpara_large_samplebasis_normalbasis_pooled_cvbasis_pooled_sdbasis_weibullcalc_cv_starcondition_summarycvequiv_change_meanequiv_mean_extremumgeom_jitter_failure_modeglancehk_ext_zhk_ext_z_j_optk_equivk_factor_normallevene_testmaximum_normed_residualnested_data_plotnonpara_binomial_ranknormalize_group_meannormalize_ply_thicknessseparate_failure_modesstat_esfstat_normal_surv_functidytransform_mod_cvtransform_mod_cv_ad
Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandkSampleslabelinglifecyclemagrittrMASSpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrSuppDiststibbletidyrtidyselectutf8vctrsviridisLitewithr
cmstatr Tutorial
Last update: 2024-11-20
Started: 2019-07-02
Plotting Composite Material Data
Batch Plots | Quantile Plots | Normal Survival Function Plots | Normal Score Plots | Q-Q Plots | Property Plots | Nested Data Plots
Last update: 2024-11-20
Started: 2020-04-15
Anderson-Darling k-Sample Test
References
Last update: 2023-09-10
Started: 2019-05-19
Extended Hanson-Koopmans
Simulation with Normally Distributed Data | Simulation with Weibull Data | Conclusion | Session Info | References
Last update: 2021-09-30
Started: 2021-06-26
cmstatr Validation
1. Introduction | 2. Validation Table | 3. carbon.fabric Data Set | 3.1. Anderson--Darling k-Sample Test | 4. Comparison with Examples from CMH-17-1G | 4.1 Dataset From Section 8.3.11.1.1 | 4.1.1 Maximum Normed Residual Test | 4.1.2 Anderson--Darling k--Sample Test | 4.1.3 Anderson--Darling Tests for Distribution | 4.1.4 Levene's Test (Between Conditions) | 4.1.5 Levene's Test (Between Batches) | 4.1.6 Nonparametric Basis Values | 4.1.7 Single-Point ANOVA Basis Value | 4.2 Dataset From Section 8.3.11.1.2 | 4.2.1 Pooled SD A- and B-Basis | 4.2.2 Pooled SD A- and B-Basis (Mod CV) | 4.2.3 Pooled CV A- and B-Basis | 4.2.4 Pooled CV A- and B-Basis (Mod CV) | 5. Other Data Sets | 5.1 Anderson--Darling Test (Normal) | 5.2 Anderson--Darling Test (Lognormal) | 5.3 Anderson--Darling Test (Weibull) | 5.4 Normal A- and B-Basis | 5.5 Lognormal A- and B-Basis | 5.6 Weibull A- and B-Basis | 5.7 Extended Hanson--Koopmans A- and B-Basis | 5.8 Extended Hanson--Koopmans B-Basis | 5.9 Large Sample Nonparametric B-Basis | 5.10 Acceptance Limits Based on Mean and Extremum | 5.11 Acceptance Based on Change in Mean | 6. Comparison with Literature | 6.1 Anderson--Darling K--Sample Test | 7. Comparison with Published Factors | 7.1 Normal kB Factors | 7.2 Normal kA Factors | 7.3 Nonparametric B-Basis Extended Hanson--Koopmans | 7.4 Nonparametric A-Basis Extended Hanson--Koopmans | 7.5 Factors for Small Sample Nonparametric B-Basis | 7.6 Nonparametric B-Basis Binomial Rank | 7.7 Nonparametric A-Basis Binomial Rank | 7.8 Factors for Equivalency | 8. Session Info | 9. References
Last update: 2021-07-01
Started: 2021-07-01
