Provides Batch Functions and Visualisation for Basic Statistical
Procedures
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Documentation for package ‘rfriend’ version 3.0.0
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_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_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 |