Man pages for Deleetdk/kirkegaard
kirkegaard
| abbreviate_scale | Abbreviate a scale |
| add_newlines | Insert newlines into text every nth character. |
| adj_d_reliability | Adjust Cohen's d for measurement error |
| all_different | Are all elements of a vector or list different? |
| all_elements_the_same | Check whether all elements of a list are identical |
| all_the_same | Are all elements of a vector or list the same? |
| alternate | Merge vectors by alternating elements. |
| are_equal | Are objects equal? |
| assert_installed | Assert that packages are installed without attaching them |
| averages | Averages |
| browse_if | Browse if equal to |
| browse_if_equals | Browse if equal to |
| cache_object | Cache object |
| calc_item_gaps | Calculate item gaps |
| calc_row_representativeness | Calculate row-wise representativeness |
| check_if_in | Check whether object is in a list/vector |
| combine_upperlower | Combine upper and lower part of a matrix. |
| compare_predictors | Fit linear models for a set of predictors to compare their... |
| conditional_change | Change values conditionally |
| conf_interval_width | Compute width of confidence interval |
| copy_names | Copy names from one object to another. |
| cor_CI_from_SE | Compute correlation confidence intervals from correlations... |
| cor_matrix | Correlation matrix |
| count_decimals | Count decimals |
| describe2 | Describe data |
| df_add_affix | Add affix to column names. |
| df_add_delta | Add delta columns to a data.frame. |
| df_as_num | Convert convertible columns in a data.frame to numeric. |
| df_gather_by_pattern | Gather by pattern |
| df_legalize_names | Legalize variable names for data frame |
| df_merge_cols | Merge columns |
| df_merge_rows | Merge rows in data.frame. |
| df_no_list_cols | Remove list columns |
| df_rank | Rank numeric variables of a data frame. |
| df_reorder_columns | Reorder columns in a data.frame by name |
| df_round | Round numeric variables of a data frame. |
| df_standardize | Standardize data.frame |
| df_t | Transpose data.frame |
| df_to_ldf | Transform data.frame to a list of data.frames |
| df_to_v | Transform data.frame to vector |
| df_var_table | Make variable table |
| df_winsorise | Winsorsise data |
| DIF_test | Test for differential item functioning (DIF) |
| discretize | Discretize a variable |
| encode_combinations | Encode combinations |
| exclude_missing | Exclude missing datapoints |
| extract_last | Subset object using Python's negative indexing |
| extract_nonnum_vars | Extract non-numerical variables |
| extract_num_vars | Extract numerical variables |
| fa_all_methods | Factor analyze with all methods |
| fa_CAFL | Mixedness detection with a change in absolute factor loadings... |
| fa_CFS | Returns a numerical vector of the change in the size of the... |
| fa_congruence_matrix | Calculate congruence coefficient matrix. |
| fail_if | Fail conditionally |
| fail_if_NA | Fail if input contains NA |
| fa_Jensens_method | Scatter plot of Jensen's method |
| fa_loadings | Get loadings from a factor analysis object. |
| fa_MAR | Calculates the mean absolute residual at the case-level. |
| fa_mixedness | Calculate mixedness metrics |
| fa_nfactors | Determine number of factors |
| fa_plot_loadings | Plot factor loadings |
| fa_rank_fa | Rank order factor analysis |
| fa_residuals | Find residuals on case-level basis for all indicators in a... |
| fa_robust_cormatrix | Robust correlation matrix |
| fa_robust_fa | Robust factor analysis. |
| fa_splitsample_repeat | Repeated splithalf reliability with factor analysis |
| fill_in | Fill in values in a vector |
| find_cutoff | Find a cutoff of a normal distribution that results in a... |
| find_duplicates | Find duplicated elements |
| get_dims | Get dimensions of object. |
| get_each_subset_minus_1 | Get every subset of the data where one case is missing. |
| get_mirt_stats | Extract item parameters from 'mirt()' fit |
| get_model_coefs | Extract model coefficients from a list of models |
| get_prop_table | Cut into bins and get proportions |
| get_reliabilities | Get reliability distribution of a 'mirt' model |
| get_t_value | Get t value by confidence-level and degree of freedom |
| GG_BMA | Plot BMA results |
| GG_contingency_table | Plot a contingency table with ggplot2 |
| GG_denhist | Histogram with an empirical density curve |
| GG_forest | Plot a contingency table with ggplot2 |
| GG_funnel | Funnel plot with ggplot2 |
| GG_group_means | ggplot2 with group means and error bars. |
| GG_heatmap | Heatmap correlation matrix with ggplot2 |
| GG_kmeans | Scatter plot with kmeans clustering |
| GG_matrix | Matrix of data values |
| GG_ordinal | Plot ordinal proportions |
| GG_plot_models | Plot model coefficients for comparison |
| GG_proportions | ggplot2 proportions plot |
| GG_save | Save a ggplot2 figure |
| GG_save_pdf | Save list of ggplot2 objects to single pdf |
| GG_scale_abbreviation | Plot results from scale abbreviation |
| GG_scatter | Scatter plot with regression line and correlation information... |
| GG_text | Add text to a ggplot |
| grapes-equals-grapes | Equality infix operator |
| group_by_pattern | Group by pattern |
| has_names | Does object have names? |
| helper_breaks | Augment logarithmic values with intuitive additional breaks |
| homogeneity | Calculate homogeneity/heterogeneity |
| inf_to_NA | Conert infinite values to 'NA' |
| inv_table | Reverse 'table()' |
| is_ | Check whether object is the right class, size and type |
| is_between | Check whether numbers are between two other numbers. |
| is_error | Is an object a try-error? |
| is_logical | Is logical? |
| is_negative | Are values negative? |
| is_nullish | Is x nullish? |
| is_numeric | Is object thoroughly numeric? |
| is_numeric_by_col | Check numericalness by column. |
| is_positive | Are values positive? |
| is_scalar | Is scalar? |
| is_scalar_NA | Is scalar NA? |
| is_simple_vector | Is object a simple vector? |
| is_unordered_factor | Is object an unordered factor? |
| is_whole_number | Is vector a whole number? |
| is_zero | Are values zero? |
| last_value | Last value |
| ldf_to_df | Transform list of data.frames to a data.frame. |
| lengths_match | Do the objects have the same lengths? |
| loading_to_slope | Convert from slopes to factor loadings |
| load_packages | Load packages |
| make_list_array | Create list-array |
| mapvalues | Map values |
| MAT_divide_rowwise | Divide a matrix or df row-wise by a vector |
| MAT_find_size | Determine the dimensions of a symmetric matrix from the... |
| MAT_half | Get half of a matrix. |
| MAT_half2full | Half to full matrix |
| math_to_function | Convert a half-complete math condition to a function. |
| matrixplot2 | Wrapper for matrixplot() |
| MAT_vector2full | Reconstructs a symmetric matrix based on a vector of values... |
| mean_abs_diff | Calculate mean absolute difference for values in a vector |
| merge_datasets | Improved dataset merger function |
| merge_datasets_multi | Merge multiple datasets at once, improved version. |
| merge_vectors | Merge vectors. |
| meta_extract_data | Extract data from 'rma' object |
| meta_pcurve | P-curve plot with ggplot2 |
| meta_TIVA | Funnel plot with ggplot2 |
| miss_add_random | Insert random NAs into a data.frame. |
| miss_amount | How much data is missing? |
| miss_analyze | Missing data dependencies |
| miss_by_case | Missing datapoint counter, case-level |
| miss_by_group | Calculate proportion missing data by group variables |
| miss_by_var | Missing datapoint counter, variable-level |
| miss_combine_duplicate_vars | Combine duplicate variables from a join back into single... |
| miss_complexity | Calculate the complexity of missing data |
| miss_count | Count missing data |
| miss_fill | Fill in missing values based on other variables/vectors |
| miss_filter | Filter data by missing values per row. |
| miss_impute | Impute data using VIM::irmi |
| miss_locf | Last observation carried forward |
| miss_matrix | Missing data matrix |
| miss_pattern | Calculates the patterns of missing data |
| miss_plot | Missing data barplot with ggplot2. |
| MOD_partial | Calculate a partial correlation. |
| named_vectors_to_df | Reshape named vectors to a data.frame. |
| named_vector_to_df | Convert a named data to a data frame |
| NA_to_F | 'NA' to 'FALSE' |
| ndims | How many dimensions does an object have? |
| new_lines_adder | Insert newlines into text every nth character. |
| Norms_and_age_corrections | Create norms and adjust scores for age effects |
| object_to_string | Object to string |
| output_sorted_var | Write a nice sorted vector with names. |
| overlap_metrics | Calculate overlap metrics |
| percent_cutoff | Find percentage of numbers that are above given thresholds. |
| plus | Easy character concatenation |
| pool_sd | Pooled sd |
| proportion_true | Proportion true |
| prop_tests | Compute many proportion tests |
| p_to_asterisk | Add asterisks to p values |
| pu_translate | Translate between names of units and abbreviations |
| quantile_smooth | Quantile smoothening |
| read_clipboard | Read data frame from clipboard |
| read_mega | A wrapper for read.csv() |
| read_rvest | Read rvest/xml object |
| read_vcf | Read VCF file into data frame |
| remove_redundant_vars | Remove redundant variables |
| rescale | Rescale numbers |
| restore_NAs | Restore NAs in vector |
| retry_while_error | Retry while error |
| reverse_scale | Reverse a scale |
| rev_uniq_encoding | Reverse unique encoding |
| save_plot_to_file | Save a non-ggplot2 plot to a png file |
| score_accuracy | Score accuracy of estimates. |
| score_bias_metrics | Score stereotype bias metrics |
| score_by | Score stereotypes by moderator |
| score_items | Score multiple choice items |
| semi_par | Semi-partial correlation with weights |
| semi_par_serial | Semi-partial correlation with weights |
| seq_along_rows | Seq along rows |
| silence | Silence warnings or messages from expression via parameter. |
| slope_to_loading | Convert from factor loading to discrimination |
| SMD_matrix | Standardized mean differences |
| spatial_knn | Add spatial k nearest neighbor (sknn) values |
| spatial_lag_cors | Compute correlatoins for lag variables |
| split_every_k | Split vector every k elements |
| split_into_n_columns | Split data into n columns. |
| stack_into_n_columns | Stack data into n columns. |
| standardize | Standardize a vector |
| str_clean | Clean string |
| str_detect2 | Improved str_detect |
| str_detect_replace | Detect and replace values with regex |
| str_dirname | Extract directory path from a file path. |
| str_filename | Extract filename from a file path. |
| str_filter | Filter string by pattern |
| str_legalize | Make names legal |
| str_replace_multi | Multiple replacement |
| str_round | Round a number to desired number of shown digits |
| str_to_upper_initial | Capitalize initial letter |
| str_uniquify | Make strings unique |
| summarize_models | Concise model comparison summary table |
| table2 | Better table |
| test_HS | Test for heteroscedasticity |
| throws_error | Does call return an error? |
| total_cells | Calculate total number of cells in an object |
| transform_01 | Transform to 0-1 scale |
| try_browse | Browse on error |
| try_else | Try and fail with a default value |
| unduplicate | Remove duplicate elements |
| uniq_encoding | Unique encoding |
| update_package | Updates the package from Github |
| v_to_df | Vector to data frame |
| which_max2 | Generalized which.max(). Returns the index of the cell or... |
| which_min2 | Generalized which.min(). Returns the index of the cell or... |
| winsorise | Winsorise numbers |
| write_clipboard | Write object to clipboard |
| write_clipboard.data.frame | Write data frame to clipboard |
| write_clipboard.matrix | Write matrix to clipboard |
| write_clipboard.model_summary | Write model summary to clipboard |
| write_mega | A wrapper for write.csv() |
| write_rvest | Write rvest/xml object |
| write_sessioninfo | Write session information to a file. |
| wtd_mean | Calculate a weighted mean |
| wtd_sd | Calculate weighted standard deviation |
| wtd_sum | Calculate a weighted sum |
