add_lists               Adding lists element-wise
answer_check            Check answers of multiple choice questions
baseline_table          Create a baseline table for a dataset.
break_at                Generate breaks for histogram
calculate_index         Calculate index based on conditions
check_nonnum            Check elements that are not numeric
classif_model_compare   Performance comparison of classification models
combine_files           combine multiple data files into a single data
                        frame
combine_multichoice     Combine multi-choice columns into one
common_prefix           Get common prefix of a string vector
cut_by                  Convert Numeric to Factor
df_view_nonnum          Show non-numeric elements in a data frame
emp_colors              default color palette for 'clinpubr' plots
exclusion_count         Count the number of excluded samples at each
                        step
extract_num             Extract numbers from string.
fill_with_last          Fill NA values with the last valid value
filter_rcs_predictors   Filter predictors for RCS
first_mode              Calculate the first mode
format_pval             Format p-value for publication
formula_add_covs        Add covariates to a formula
get_samples             Generate a sample of values from a vector and
                        collapse them.
get_valid               Get one valid value from vector.
get_valid_subset        Get the subset that satisfies the missing rate
                        condition.
get_var_types           Get variable types for baseline table
importance_plot         Importance plot
indicate_duplicates     Determine duplicate elements including their
                        first occurrence.
interaction_p_value     Calculate interaction p-value
interaction_plot        Plot interactions
interaction_scan        Scan for interactions between variables
mad_outlier             Mark possible outliers with MAD.
max_missing_rates       Get the maximum missing rate of rows and
                        columns.
merge_ordered_vectors   Merging vectors while maintaining order
na2false                Replace NA values with FALSE
na_max                  Safe min and max functions that return NA if
                        all values are NA
predictor_effect_plot   Plot the effect of a predictor variable
qq_show                 QQ plot
rcs_plot                Plot restricted cubic spline
regression_basic_results
                        Basic results of logistic or Cox regression.
regression_fit          Obtain regression results
regression_forest       Forest plot of regression results
regression_scan         Scan for significant regression predictors
replace_elements        Replacing elements in a vector
split_multichoice       Split multi-choice data into columns
str_match_replace       Match string and replace with corresponding
                        value
subgroup_forest         Create subgroup forest plot.
subject_view            Get an overview of different subjects in data.
test_normality          Test normality of a numeric variable
to_date                 Convert numerical or character date to date.
unit_standardize        Standardize units of numeric data.
unit_view               Generate a table of conflicting units.
unmake_names            Unmake names
value_initial_cleaning
                        Preliminarily cleaning string vectors
vec2code                Generate code from string vector Generate the
                        code that can be used to generate the string
                        vector.
