Man pages for volker
High-Level Functions for Tabulating, Charting and Reporting Survey Data
| add_clusters | Add cluster number to a data frame |
| add_factors | Add PCA columns along with summary statistics (KMO and... |
| add_index | Calculate the mean value of multiple items |
| add_model | Add a column with predicted values from a regression model |
| adjust_p | Adjust p-values from multiple tests and optionally annotate... |
| agree_tab | Agreement for multiple items |
| cfg_get_na_numbers | Get configured na numbers |
| chatgpt | ChatGPT Adoption Dataset CG-GE-APR23 |
| check_has_column | Check whether a column exist and stop if not |
| check_is_categorical | Check whether a column selection is categorical |
| check_is_dataframe | Check whether the object is a dataframe |
| check_is_numeric | Check whether a column selection is numeric |
| check_is_param | Check whether a parameter value is from a valid set |
| check_nonequal_columns | Check whether there is no overlap between two column sets |
| cluster_plot | Get plot for clustering result |
| cluster_tab | Get tables for clustering result |
| codebook | Get variable and value labels from a data set |
| data_cat | Convert numeric values to string |
| data_clean | Prepare dataframe for the analysis |
| data_clean_default | Prepare data originating from SoSci Survey or SPSS |
| data_num | Convert values to numeric values |
| data_onehot | One-hot encode selected columns |
| data_prepare | Prepare data for calculation |
| data_rev | Reverse item values |
| data_rm_missings | Remove missings and output a message |
| data_rm_na_levels | Remove NA levels |
| data_rm_na_numbers | Remove NA numbers |
| data_rm_negatives | Remove negatives and output a warning |
| data_rm_zeros | Remove zero values, drop missings and output a message |
| data_round | Round and format selected numeric columns |
| diagnostics_cooksd | Cook's distance plot |
| diagnostics_qq | Normal Q-Q |
| diagnostics_resid_fitted | Residuals vs Fitted plot |
| diagnostics_scale_location | Scale-Location (Spread-Location) |
| dot-add_to_vlkr_rprt | Add an object to the report list |
| dot-agree_classification | Calculate classification performance indicators such as... |
| dot-agree_confusion | Generate confusion matrix |
| dot-agree_items | Calculate agreement coefficients for multiple items |
| dot-agree_reliability | Calculate reliability scores |
| dot-attr_insert | Insert a name-value-pair into an object attribute |
| dot-attr_setcolumn | Set an attribute value on selected columns of a data frame |
| dot-attr_transfer | Transfer attributes from one to another object |
| dot-effect_correlations | Calculate correlation and cooccurrence coefficients and test... |
| dot-factor_with_attr | Create a factor vector and preserve all attributes |
| dot-get_density_mode | Get the maximum density value in a density plot |
| dot-get_fig_settings | Get plot size and resolution for the current output format... |
| dot-get_plot_limits | Guess plot limits from values |
| dot-iqr | Calculate IQR |
| dot-knit_plot | Knit volker plots |
| dot-knit_prepare | Prepare markdown content for table rendering |
| dot-knit_shorten | Compact table printing with shortened names and values |
| dot-knit_table | Knit volker tables |
| dot-outliers | Calculate outliers |
| dot-pair_agreement | Helper: mean of pairwise agreements (nominal) |
| dot-pair_disagreement | Helper: mean of pairwise disagreements (nominal) |
| dot-plot_bars | Helper function: plot grouped bar chart |
| dot-plot_cor | Helper function: plot cor and regression outputs |
| dot-plot_heatmap | Helper function: Heatmap |
| dot-plot_lines | Helper function: plot grouped line chart |
| dot-plot_scree | Helper function: scree plot |
| dot-plot_summary | Helper function: plot grouped line chart by summarising... |
| dot-report_agr | Generate table and plot for agreement analysis |
| dot-report_cls | Generate an cluster table and plot |
| dot-report_fct | Generate an factor table and plot |
| dot-report_idx | Generate an index table and plot |
| dot-report_mdl | Generate an model table and plot |
| dot-tab_split | Split a metric column into categories based on the median |
| dot-to_vlkr_df | Add vlkr_df class - that means, the data frame has been... |
| dot-to_vlkr_list | Add vlkr_list class |
| dot-to_vlkr_plot | Add the volker class and options |
| dot-to_vlkr_rprt | Add the vlkr_rprt class to an object |
| dot-to_vlkr_tab | Add vlkr_tbl class |
| dot-whisker_lower | Calculate lower whisker in a boxplot |
| dot-whisker_upper | Calculate upper whisker in a boxplot |
| effect_counts | Output effect sizes and test statistics for count data |
| effect_counts_items | Test homogeneity of category shares for multiple items |
| effect_counts_items_cor | Correlate the values in multiple items with one metric column... |
| effect_counts_items_cor_items | Correlate the values in multiple items with multiple metric... |
| effect_counts_items_grouped | Effect size and test for comparing multiple variables by a... |
| effect_counts_items_grouped_items | Effect size and test for comparing multiple variables by... |
| effect_counts_one | Test homogeneity of category shares |
| effect_counts_one_cor | Output test statistics and effect size from a logistic... |
| effect_counts_one_grouped | Output test statistics and effect size for contingency tables |
| effect_metrics | Output effect sizes and test statistics for metric data |
| effect_metrics_items | Test whether a distribution is normal for each item |
| effect_metrics_items_cor | Output correlation coefficients for items and one metric... |
| effect_metrics_items_cor_items | Output correlation coefficients for multiple items |
| effect_metrics_items_grouped | Compare groups for each item by calculating F-statistics and... |
| effect_metrics_items_grouped_items | Compare groups for each item with multiple target items by... |
| effect_metrics_one | Test whether a distribution is normal |
| effect_metrics_one_cor | Test whether the correlation is different from zero |
| effect_metrics_one_grouped | Output a regression table with estimates and macro statistics |
| ends_with | Select variables by their postfix |
| factor_plot | Get plot with factor analysis result |
| factor_tab | Get tables with factor analysis results |
| filter | Filter function |
| get_alpha | Get number of items and Cronbach's alpha of a scale added by... |
| get_angle | Angle labels |
| get_baseline | Get a formatted baseline from attributes of an object. |
| get_betas | Calculate standardized betas |
| get_ci | Calculate ci values to be used for error bars on a plot |
| get_correlation | Calculate correlation between two vectors |
| get_direction | Detect whether a scale is a numeric sequence |
| get_etasq | Calculate Eta squared |
| get_gini | Calculate the Gini coefficient |
| get_labels | Get the labels of values from a codebook |
| get_limits | Get the numeric range from the labels |
| get_npmi | Calculate nmpi |
| get_prefix | Get the common prefix of character values |
| get_stars | Get significance stars from p values |
| get_title | Get a common title for a column selection |
| html_report | Volker style HTML document format |
| idx_add | Deprecated Alias for 'add_index' |
| knit_print.vlkr_plt | Printing method for volker plots when knitting |
| label_scale | Wrap labels in plot scales |
| labs_apply | Set column and value labels |
| labs_clear | Remove all comments from the selected columns |
| labs_impute | Add missing residual labels in numeric columns that have at... |
| labs_prefix | Remove common prefix from the first column |
| labs_replace | Replace item value names in a column by their labels |
| labs_restore | Restore labels from the codebook store in the codebook... |
| labs_store | Get the current codebook and store it in the codebook... |
| map_label | Get a label for a key |
| model_metrics_plot | Plot regression coefficients |
| model_metrics_tab | Output a regression table with estimates and macro statistics... |
| mutate | Mutate function |
| named.to.list | Convert a named vector to a list |
| pdf_report | Volker style PDF document format |
| pipe | Pipe operator |
| plot_counts | Output a frequency plot |
| plot_counts_items | Output frequencies for multiple variables |
| plot_counts_items_cor | Plot percent shares of multiple items compared by a metric... |
| plot_counts_items_cor_items | Correlation of categorical items with metric items |
| plot_counts_items_grouped | Plot percent shares of multiple items compared by groups |
| plot_counts_items_grouped_items | Correlation of categorical items with categorical items |
| plot_counts_one | Plot the frequency of values in one column |
| plot_counts_one_cor | Plot frequencies cross tabulated with a metric column that... |
| plot_counts_one_grouped | Plot frequencies cross tabulated with a grouping column |
| plot_metrics | Output a plot with distribution parameters such as the mean... |
| plot_metrics_items | Output averages for multiple variables |
| plot_metrics_items_cor | Multiple items correlated with one metric variable |
| plot_metrics_items_cor_items | Heatmap for correlations between multiple items |
| plot_metrics_items_grouped | Output averages for multiple variables compared by a grouping... |
| plot_metrics_items_grouped_items | Correlation of metric items with categorical items |
| plot_metrics_one | Output a density plot for a single metric variable |
| plot_metrics_one_cor | Correlate two items |
| plot_metrics_one_grouped | Output averages for multiple variables |
| prepare_scale | Prepare the scale attribute values |
| print.vlkr_list | Printing method for volker lists |
| print.vlkr_plt | Printing method for volker plots |
| print.vlkr_rprt | Printing method for volker reports |
| print.vlkr_tbl | Printing method for volker tables. |
| report_counts | Create table and plot for categorical variables |
| report_metrics | Create table and plot for metric variables |
| select | Select function |
| skim_boxplot | A skimmer for boxplot generation |
| skim_grouped | Calculate a metric by groups |
| skim_metrics | A reduced skimmer for metric variables Returns a five point... |
| starts_with | Select variables by their prefix |
| tab_counts | Output a frequency table |
| tab_counts_items | Output frequencies for multiple variables |
| tab_counts_items_cor | Compare the values in multiple items by a metric column that... |
| tab_counts_items_cor_items | Correlation of categorical items with metric items |
| tab_counts_items_grouped | Compare the values in multiple items by a grouping column |
| tab_counts_items_grouped_items | Correlation of categorical items with categorical items |
| tab_counts_one | Output a frequency table for the values in one column |
| tab_counts_one_cor | Count values by a metric column that will be split into... |
| tab_counts_one_grouped | Output frequencies cross tabulated with a grouping column |
| tab_metrics | Output a table with distribution parameters |
| tab_metrics_items | Output a five point summary table for multiple items |
| tab_metrics_items_cor | Output a correlation table for item battery and one metric... |
| tab_metrics_items_cor_items | Output a correlation table for item battery and item battery |
| tab_metrics_items_grouped | Output the means for groups in one or multiple columns |
| tab_metrics_items_grouped_items | Correlation of metric items with categorical items |
| tab_metrics_one | Output a five point summary table for the values in multiple... |
| tab_metrics_one_cor | Correlate two columns |
| tab_metrics_one_grouped | Output a five point summary for groups |
| theme_set | Get, set, and modify the active ggplot theme |
| theme_vlkr | Define a default theme for volker plots |
| tibble | Tidy tibbles |
| tidy_lm_levels | Tidy lm results, replace categorical parameter names by their... |
| tribble | Tidy tribbles |
| trim_label | Remove trailing zeros and trailing or leading whitespaces,... |
| trim_prefix | Remove a prefix from a character vector or a factor |
| trunc_labels | Truncate labels |
| vlkr_alpha_interpolated | Interpolate an alpha value based on case numbers |
| vlkr_colors_contrast | Given a vector of hex fill colors, choose an appropriate... |
| vlkr_colors_discrete | Get colors for discrete scales |
| vlkr_colors_polarized | Get colors for polarized scales |
| vlkr_colors_sequential | Get colors for sequential scales |
| VLKR_FIG_SETTINGS | Resolution settings for plots |
| VLKR_FILLDISCRETE | Fill colors |
| VLKR_FILLGRADIENT | Gradient colors |
| VLKR_FILLPOLARIZED | Polarized colors |
| VLKR_MAX_CATEGORIES | Maximum number of distinct values to determine whether a... |
| VLKR_NA_LEVELS | Levels to remove from factors |
| VLKR_NA_NUMBERS | Numbers to remove from vectors |
| VLKR_NA_OMIT | Whether to remove all missings |
| VLKR_NORMAL_DIGITS | Output thresholds |
| VLKR_PLOT_LABELWRAP | Wrapping threshold |
| VLKR_POINT_ALPHA | Alpha values |
| VLKR_POINT_MEAN_SHAPE | Shapes |
| VLKR_POINT_SIZE | Sizes |
| VLKR_WRAP_SEPARATOR | Word wrap separators |
| volker-package | volker: High-Level Functions for Tabulating, Charting and... |
| wrap_label | Wrap a string |
| zip_tables | Combine two identically shaped data frames by adding values... |
