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 |
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 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 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 |
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 |