| bt | Add backticks to names or remove them |
| cat_desc_stats | Compute absolute and relative frequencies. |
| cat_desc_table | Compute absolute and relative frequencies for a table. |
| cn | Shortcut for colnames() |
| ColSeeker | Find numeric index and names of columns based on class(es) and patterns |
| compare2numvars | Comparison for columns of numbers for 2 groups |
| compare2qualvars | Comparison for columns of factors for 2 groups |
| compare_n_numvars | Comparison for columns of Gaussian or ordinal measures for n groups |
| compare_n_qualvars | Comparison for columns of factors for more than 2 groups with post-hoc |
| cortestR | Correlations with significance |
| detect_outliers | Find outliers based on IQR |
| eGFR | Estimation of glomerular filtration rate (eGFR) based on sex, age, and either serum creatinine and/or cystatin C |
| faketrial | Results from a simulated clinical trial with interaction effects. |
| FindVars | Find numeric index and names of columns based on patterns |
| flex2rmd | Transform flextable to rmd if non-interactive |
| formatP | Re-format p-values, avoiding rounding to 0 and adding surprisal if requested |
| ggcormat | Print graphical representation of a correlation matrix. |
| glmCI | Confidence interval for generalized linear models |
| identical_cols | Find and optionally remove identical columns in a data frame. |
| ksnormal | Kolmogorov-Smirnov-Test against Normal distribution |
| label_outliers | Add labels to outliers in boxplot/beeswarm. |
| logrange_1 | Predefined sets of labels for plots with log-scaled axes |
| logrange_123456789 | Predefined sets of labels for plots with log-scaled axes |
| logrange_12357 | Predefined sets of labels for plots with log-scaled axes |
| logrange_15 | Predefined sets of labels for plots with log-scaled axes |
| logrange_5 | Predefined sets of labels for plots with log-scaled axes |
| markSign | Convert significance levels to symbols |
| meansd | Compute mean and sd and put together with the ± symbol. |
| meanse | Compute mean and standard error of mean and put together with the ± symbol. |
| mean_cl_boot | Compute confidence interval of mean by bootstrapping. |
| medianse | Compute standard error of median. |
| median_cl_boot | Compute confidence interval of median by bootstrapping. |
| median_cl_boot_gg | Rename output from median_cl_boot for use in ggplot. |
| median_quart | Compute median and quartiles and put together. |
| pairwise_fisher_test | Pairwise Fisher's exact tests |
| pairwise_ordcat_test | Pairwise comparison for ordinal categories |
| pairwise_t_test | Extended pairwise t-test |
| pairwise_wilcox_test | Pairwise Wilcoxon tests |
| pdf_kable | Enhanced knitr::kable with latex |
| plot_LB | Lineweaver-Burk diagram |
| plot_MM | Michaelis-Menten enzyme kinetics model and plot |
| print_kable | Enhanced knitr::kable with definable number of rows and/or columns for splitting |
| roundR | Automatic rounding to a reasonable length, based on largest number |
| SEM | Standard Error of Mean. |
| se_median | Compute standard error of median |
| surprisal | Compute surprisal aka Shannon information from p-values |
| tab.search | Search within data.frame or tibble |
| t_var_test | Independent sample t-test with test for equal variance |
| var_coeff | Compute coefficient of variance. |
| WINratio | Comparison for groups in clinical trials based on all possible combinations of subjects |