R: Statistical Methods for Composite Material Data

# Statistical Methods for Composite Material Data

## Documentation for package ‘cmstatr’ version 0.10.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

ad_ksample | Anderson-Darling K-Sample Test
anderson_darling | Anderson-Darling test for goodness of fit
anderson_darling_lognormal | Anderson-Darling test for goodness of fit
anderson_darling_normal | Anderson-Darling test for goodness of fit
anderson_darling_weibull | Anderson-Darling test for goodness of fit
augment.mnr | Augment data with information from an 'mnr' object
basis | Calculate basis values
basis_anova | Calculate basis values
basis_hk_ext | Calculate basis values
basis_lognormal | Calculate basis values
basis_nonpara_large_sample | Calculate basis values
basis_normal | Calculate basis values
basis_pooled_cv | Calculate basis values
basis_pooled_sd | Calculate basis values
basis_weibull | Calculate basis values
calc_cv_star | Calculate the modified CV from the CV
carbon.fabric | Sample data for a generic carbon fabric
carbon.fabric.2 | Sample data for a generic carbon fabric
condition_summary | Produce basis summary statistics for each (environmental) condition
condition_summary.basis | Produce basis summary statistics for each (environmental) condition
condition_summary.data.frame | Produce basis summary statistics for each (environmental) condition
cv | Calculate the coefficient of variation
equiv_change_mean | Equivalency based on change in mean value
equiv_mean_extremum | Test for decrease in mean or minimum individual
geom_jitter_failure_mode | Jittered points showing (possibly multiple) failure modes
glance.adk | Glance at a 'adk' (Anderson-Darling k-Sample) object
glance.anderson_darling | Glance at an 'anderson_darling' object
glance.basis | Glance at a basis object
glance.equiv_change_mean | Glance at a 'equiv_change_mean' object
glance.equiv_mean_extremum | Glance at an 'equiv_mean_extremum' object
glance.levene | Glance at a 'levene' object
glance.mnr | Glance at a 'mnr' (maximum normed residual) object
hk_ext | Calculate values related to Extended Hanson-Koopmans tolerance bounds
hk_ext_z | Calculate values related to Extended Hanson-Koopmans tolerance bounds
hk_ext_z_j_opt | Calculate values related to Extended Hanson-Koopmans tolerance bounds
k_equiv | k-factors for determining acceptance based on sample mean and an extremum
k_factor_normal | Calculate k factor for basis values (kB, kA) with normal distribution
levene_test | Levene's Test (Median) for Equality of Variance
maximum_normed_residual | Detect outliers using the maximum normed residual method
nested_data_plot | Create a plot of nested sources of variation
nonpara_binomial_rank | Rank for distribution-free tolerance bound
normalize_group_mean | Normalize values to group means
normalize_ply_thickness | Normalizes strength values to ply thickness
separate_failure_modes | Separate multiple failure modes into multiple rows
stat_esf | Empirical Survival Function
stat_normal_surv_func | Normal Survival Function
transform_mod_cv | Transforms data according to the modified CV rule
transform_mod_cv_ad | Transforms data according to the modified CV rule