Man pages for cmstatr
Statistical Methods for Composite Material Data
| ad_ksample | Anderson-Darling K-Sample Test |
| anderson_darling | Anderson-Darling test for goodness of fit |
| augment.mnr | Augment data with information from an 'mnr' object |
| basis | Calculate basis values |
| calc_cv_star | Calculate the modified CV from the CV |
| carbon.fabric | Sample data for a generic carbon fabric |
| cmstatr-package | cmstatr: Statistical Methods for Composite Material Data |
| 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 |
| 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... |
| k_equiv | k-factors for determining acceptance based on sample mean and... |
| k_factor_normal | Calculate k factor for basis values (kB, kA) with normal... |
| levene_test | Levene's Test 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 |
| reexports | Objects exported from other packages |
| stat_esf | Empirical Survival Function |
| stat_normal_surv_func | Normal Survival Function |
| transform_mod_cv | Transforms data according to the modified CV rule |
