Package: cmstatr 0.9.3

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:Stefan Kloppenborg [aut, cre], Billy Cheng [ctb], Ally Fraser [ctb], Jeffrey Borlik [ctb], Comtek Advanced Structures, Ltd. [fnd]

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cmstatr.pdf |cmstatr.html
cmstatr/json (API)
NEWS

# Install 'cmstatr' in R:
install.packages('cmstatr', repos = c('https://cmstatr.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/cmstatr/cmstatr/issues

Datasets:

On CRAN:

composite-material-datadatamaterials-sciencestatistical-analysisstatistics

33 exports 3 stars 1.34 score 34 dependencies 22 scripts 357 downloads

Last updated 6 months agofrom:6bf5ee85b9. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-winNOTESep 10 2024
R-4.5-linuxNOTESep 10 2024
R-4.4-winOKSep 10 2024
R-4.4-macOKSep 10 2024
R-4.3-winOKSep 10 2024
R-4.3-macOKSep 10 2024

Exports:ad_ksampleanderson_darling_lognormalanderson_darling_normalanderson_darling_weibullaugmentbasis_anovabasis_hk_extbasis_lognormalbasis_nonpara_large_samplebasis_normalbasis_pooled_cvbasis_pooled_sdbasis_weibullcalc_cv_starcvequiv_change_meanequiv_mean_extremumglancehk_ext_zhk_ext_z_j_optk_equivk_factor_normallevene_testmaximum_normed_residualnested_data_plotnonpara_binomial_ranknormalize_group_meannormalize_ply_thicknessstat_esfstat_normal_surv_functidytransform_mod_cvtransform_mod_cv_ad

Dependencies:clicolorspacedplyrfansifarvergenericsggplot2gluegtableisobandkSampleslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesSuppDiststibbletidyselectutf8vctrsviridisLitewithr

Anderson-Darling k-Sample Test

Rendered fromadktest.Rmdusingknitr::rmarkdownon Sep 10 2024.

Last update: 2023-09-10
Started: 2019-05-19

cmstatr Tutorial

Rendered fromcmstatr_Tutorial.Rmdusingknitr::rmarkdownon Sep 10 2024.

Last update: 2023-09-10
Started: 2019-07-02

cmstatr Validation

Rendered fromcmstatr_Validation.Rmdusingknitr::rmarkdownon Sep 10 2024.

Last update: 2021-07-01
Started: 2021-07-01

Extended Hanson-Koopmans

Rendered fromhk_ext.Rmdusingknitr::rmarkdownon Sep 10 2024.

Last update: 2021-09-30
Started: 2021-06-26

Plotting Composite Material Data

Rendered fromcmstatr_Graphing.Rmdusingknitr::rmarkdownon Sep 10 2024.

Last update: 2023-09-10
Started: 2020-04-15

Readme and manuals

Help Manual

Help pageTopics
Anderson-Darling K-Sample Testad_ksample
Anderson-Darling test for goodness of fitanderson_darling anderson_darling_lognormal anderson_darling_normal anderson_darling_weibull
Augment data with information from an 'mnr' objectaugment.mnr
Calculate basis valuesbasis basis_anova basis_hk_ext basis_lognormal basis_nonpara_large_sample basis_normal basis_pooled_cv basis_pooled_sd basis_weibull
Calculate the modified CV from the CVcalc_cv_star
Sample data for a generic carbon fabriccarbon.fabric carbon.fabric.2
Calculate the coefficient of variationcv
Equivalency based on change in mean valueequiv_change_mean
Test for decrease in mean or minimum individualequiv_mean_extremum
Glance at a 'adk' (Anderson-Darling k-Sample) objectglance.adk
Glance at an 'anderson_darling' objectglance.anderson_darling
Glance at a basis objectglance.basis
Glance at a 'equiv_change_mean' objectglance.equiv_change_mean
Glance at an 'equiv_mean_extremum' objectglance.equiv_mean_extremum
Glance at a 'levene' objectglance.levene
Glance at a 'mnr' (maximum normed residual) objectglance.mnr
Calculate values related to Extended Hanson-Koopmans tolerance boundshk_ext hk_ext_z hk_ext_z_j_opt
k-factors for determining acceptance based on sample mean and an extremumk_equiv
Calculate k factor for basis values (kB, kA) with normal distributionk_factor_normal
Levene's Test for Equality of Variancelevene_test
Detect outliers using the maximum normed residual methodmaximum_normed_residual
Create a plot of nested sources of variationnested_data_plot
Rank for distribution-free tolerance boundnonpara_binomial_rank
Normalize values to group meansnormalize_group_mean
Normalizes strength values to ply thicknessnormalize_ply_thickness
Empirical Survival Functionstat_esf
Normal Survival Functionstat_normal_surv_func
Transforms data according to the modified CV ruletransform_mod_cv transform_mod_cv_ad