Man pages for KZARCA/simplestats
Simplifies descriptive/bivariate tables and plot generations
| barplot_bivar | Easy Barplot |
| barplot_desc | Easy barplot |
| boxplot_bivar | Easy Boxplot |
| calculate_auc | Calculate AUC |
| compute_mod | Compute multivariable statistical model |
| create_ligne_bivar | Univariate analysis |
| create_ligne_desc | Descriptive analysis |
| create_ligne_surv_bivar | Univariate analysis of survival |
| create_ligne_surv_desc | Descriptive analysis of survival |
| create_pred_obs | Creates a contingency table with predicted probabilities and... |
| create_tabi | Create intermediate table |
| define_varajust | Detect adjustment variables |
| display_missing | This code is a modification of the ggmice package -... |
| extract_from_model | Extract objects from a model |
| extract_pval | Performs univariate tests and extract p-value from objects |
| extract_pval_glob | Extract Anova p-value from objects |
| find_env | Find object in the parents of the calling environment |
| find_varaux | Find auxillary variables, ie predictors of data missingness |
| format_number | Format numbers |
| format_precision | Get the best precision for all indepedant variables |
| get_confint_p_boot | Extract CI and p-value from bootstraps |
| get_fun | Get adequate function and arguments for model |
| get_glance | Get additional info on a test performed |
| get_large_missing | Get colnames with large number of missing values |
| get_lasso_variables | Variable selection by LASSO procedure |
| get_nvar_mod | Get the predicted number of terms in a statistical model |
| get_pred_perf | Get performance measures of a predictive model |
| get_propDM | Get proportion of missing data |
| get_resBoot | Perform bootstraps |
| histogram | Easy histogram |
| imputer | Imputation strategy |
| is_error | Helper function to get error or warning class |
| is_homoscedatic | Can it be considered homoscedatic? |
| is_normal | Can it be considered as normal? |
| is_number_enough | Is the number of observations enough to perform the modeling? |
| make_tab_survival | Add column .time |
| nearest_up_thousand | Get the nearest (ceiling) thousand |
| plot_all_splines | Plots splines |
| plot_all_zph | Title |
| plot_reglin | Plots the relationship between 2 quantitative variables |
| pourcent | Get the number(s) formatted in percentage |
| print_all_boots | Print all bootstraps |
| print_line_bivar | Displays the univariate analysis in markdown |
| print_line_desc | Displays the descriptive analysis in markdown |
| print_plot_bivar | Plot univariate graphs |
| print_plot_desc | Plot descriptive graphs |
| read_tab_export | Read file |
| read_tab_import | Read file |
| recherche_multicol | Search for multicolinearity |
| show_table_markdown | Nice display of the analysis |
| simplestats | simplestats: Stats made simple |
| split_cv | Create n subsamples for cross validations |
| sprintf_number_table | Use sprintf for displaying numbers with the right digit... |
| standardize_names | Create better colnames |
| standardize_tab | Prepare a data.frame for analysis |
| try2 | Simple tryCatch for errors and warnings |
