| 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 |