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 |