R: Provides Batch Functions and Visualisation for Basic Statistical Procedures

# Provides Batch Functions and Visualisation for Basic Statistical Procedures

## Documentation for package ‘rfriend’ version 3.1.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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_boxplot.data.frame | Generate a Boxplot Report of a data.frame
f_boxplot.formula | Generate a Boxplot Report of a data.frame
f_boxplot.integer | Generate a Boxplot Report of a data.frame
f_boxplot.numeric | Generate a Boxplot Report of a data.frame
f_boxplot_worker | 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_factors | Convert multiple columns to Factors in a data frame
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_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_outliers.data.frame | Identify Outliers within Groups using Tukey's Fences
f_outliers.formula | Identify Outliers within Groups using Tukey's Fences
f_outliers.integer | Identify Outliers within Groups using Tukey's Fences
f_outliers.numeric | 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_scan.data.frame | Perform a visual check on your data
f_scan.formula | Perform a visual check on your data
f_scan.integer | Perform a visual check on your data
f_scan.numeric | 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_stat_wizard.data.frame | Statistical Test Wizard
f_stat_wizard.formula | Statistical Test Wizard
f_summary | Summarize a Data Frame with Grouping Variables
f_summary.data.frame | Summarize a Data Frame with Grouping Variables
f_summary.formula | Summarize a Data Frame with Grouping Variables
f_theme | Apply a black or white 'RStudio' Theme and Zoom Level
f_t_test | Perform multiple t-tests with optional data transformation, inspection and visualization.
f_t_test.default | Perform multiple t-tests with optional data transformation, inspection and visualization.
f_t_test.formula | Perform multiple t-tests with optional data transformation, inspection and visualization.
f_wilcox_test | Perform multiple Wilcoxon rank sum and signed rank tests with inspection and visualization.
f_wilcox_test.default | Perform multiple Wilcoxon rank sum and signed rank tests with inspection and visualization.
f_wilcox_test.formula | Perform multiple Wilcoxon rank sum and signed rank tests with inspection and visualization.
plot.f_bestNormalize | Plot an f_bestNormalize object
plot.f_boxcox | Plot an f_boxcox object
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
plot.f_scan | Print method for f_scan 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
summary.f_scan | Print method for f_scan objects