df_to_table             Convert a data frame to a contingency table
f_aov                   Perform multiple 'aov()' functions with
                        optional data transformation, inspection and
                        Post Hoc test.
f_bestNormalize         f_bestNormalize: Automated Data Normalization
                        with bestNormalize
f_boxcox                f_boxcox: A User-Friendly Box-Cox
                        Transformation
f_boxplot               Generate a Boxplot Report of a data.frame
f_chisq_test            Chi-squared Test with post hoc Analysis
f_clear                 f_clear: Clear Various Aspects of the R
                        Environment
f_conditional_round     Conditional Rounding for Numeric Values
f_corplot               Correlation Plots with Factor Detection and
                        Multiple Correlation Coefficients
f_example_data          Access the bundled example datasets
f_factors               Convert multiple columns to Factors in a data
                        frame
f_friedman              Perform multiple Friedman rank sum tests with a
                        user-friendly output file, do data inspection
                        and pairwise Wilcoxon signed-rank tests as post
                        hoc.
f_glm                   Perform multiple 'glm()' functions with
                        diagnostics, assumption checking, and post hoc
                        analysis
f_hist                  Plot a Histogram with an Overlaid Normal Curve
f_kruskal_test          Perform multiple Kruskal-Wallis tests with a
                        user-friendly output file, do data inspection
                        and Dunn's test (of 'rstatix') as post hoc.
f_lm                    Perform multiple 'lm()' functions with optional
                        data transformation, inspection, regression
                        plots and post hoc test.
f_lmer                  Fit a linear mixed model with 'lme4::lmer()'
                        including assumption checks, diagnostics,
                        R-squared and post hoc tests.
f_load_packages         Install and Load Multiple R Packages
f_long                  Transform 'Wide' (Excel) data to 'Long' (R)
                        format
f_model_compare         Compare Two Statistical Models
f_open_file             Open a File with the Default Application
f_outliers              Identify Outliers within Groups using Tukey's
                        Fences
f_pander                Fancy Pander Table Output
f_qqnorm                Normal Q-Q Plot with Confidence Bands
f_remove_outliers       Remove Outliers from Data
f_rename_columns        Rename Specific Columns in a Data Frame
f_rename_vector         Rename Elements of a Vector Based on a Mapping
f_scan                  Perform a visual check on your data
f_setwd                 Set Working Directory Based on Current File or
                        Specified Path
f_stat_wizard           Statistical Test Wizard
f_summary               Summarize a Data Frame with Grouping Variables
f_t_test                Perform multiple t-tests with optional data
                        transformation, inspection and visualization.
f_theme                 Apply a black or white 'RStudio' Theme and Zoom
                        Level
f_wilcox_test           Perform multiple Wilcoxon rank sum and signed
                        rank tests with inspection and visualization.
plant_trial             Simulated plant-science field trial (teaching
                        dataset)
plot.f_bestNormalize    Plot an f_bestNormalize object
plot.f_boxcox           Plot an f_boxcox object
plot.f_friedman         Plot method for f_friedman objects
plot.f_kruskal_test     Plot method for f_kruskal_test objects
plot.f_lmer             Plot method for f_lmer objects
plot.f_long             Plot method for f_long objects
predict.f_boxcox        Predict method for f_boxcox objects
print.f_outliers        Print method for f_outliers objects
print.f_scan            Print method for f_scan objects
print.f_stat_wizard     Print method for f_stat_wizard
print.f_summary         Print method for f_summary objects
summary.f_long          Summary method for f_long objects
