Man pages for COINr
Composite Indicator Construction and Analysis
| a_amean | Weighted arithmetic mean |
| a_copeland | Copeland scores |
| a_genmean | Weighted generalised mean |
| Aggregate | Aggregate data |
| Aggregate.coin | Aggregate indicators in a coin |
| Aggregate.data.frame | Aggregate data frame |
| Aggregate.purse | Aggregate indicators |
| a_gmean | Weighted geometric mean |
| a_hmean | Weighted harmonic mean |
| approx_df | Interpolate time-indexed data frame |
| ASEM_COIN | ASEM COIN (COINr < v1.0) |
| ASEM_iData | ASEM raw indicator data |
| ASEM_iData_p | ASEM raw panel data |
| ASEM_iMeta | ASEM indicator metadata |
| boxcox | Box Cox transformation |
| build_example_coin | Build ASEM example coin |
| build_example_purse | Build example purse |
| CAGR | Compound annual growth rate |
| change_ind | Add and remove indicators |
| check_iData | Check iData |
| check_iMeta | Check iMeta |
| check_SkewKurt | Check skew and kurtosis of a vector |
| COIN_to_coin | Convert a COIN to a coin |
| compare_coins | Compare two coins |
| compare_coins_corr | Compare two coins by correlation |
| compare_coins_multi | Compare multiple coins |
| compare_df | Compare two data frames |
| Custom | Custom operation |
| Custom.coin | Custom operation |
| Custom.purse | Custom operation |
| Denominate | Denominate data |
| Denominate.coin | Denominate data set in a coin |
| Denominate.data.frame | Denominate data sets by other variables |
| Denominate.purse | Denominate a data set within a purse. |
| export_to_excel | Export a coin or purse to Excel |
| export_to_excel.coin | Export a coin to Excel |
| export_to_excel.purse | Export a purse to Excel |
| get_corr | Get correlations |
| get_corr_flags | Find highly-correlated indicators within groups |
| get_cronbach | Cronbach's alpha |
| get_data | Get subsets of indicator data |
| get_data_avail | Get data availability of units |
| get_data_avail.coin | Get data availability of units |
| get_data_avail.data.frame | Get data availability of units |
| get_data.coin | Get subsets of indicator data |
| get_data.purse | Get subsets of indicator data |
| get_denom_corr | Correlations between indicators and denominators |
| get_dset | Gets a named data set and performs checks |
| get_dset.coin | Gets a named data set and performs checks |
| get_dset.purse | Gets a named data set and performs checks |
| get_eff_weights | Get effective weights |
| get_noisy_weights | Noisy replications of weights |
| get_opt_weights | Weight optimisation |
| get_PCA | Perform PCA on a coin |
| get_pvals | P-values for correlations in a data frame or matrix |
| get_results | Results summary tables |
| get_sensitivity | Sensitivity and uncertainty analysis of a coin |
| get_stats | Statistics of columns/indicators |
| get_stats.coin | Statistics of indicators |
| get_stats.data.frame | Statistics of columns |
| get_str_weak | Generate strengths and weaknesses for a specified unit |
| get_trends | Get time trends |
| get_unit_summary | Generate unit summary table |
| icodes_to_inames | Convert iCodes to iNames |
| i_mean | Impute by mean |
| i_mean_grp | Impute by group mean |
| i_median | Impute by median |
| i_median_grp | Impute by group median |
| import_coin_tool | Import data directly from COIN Tool |
| Impute | Imputation of missing data |
| Impute.coin | Impute a data set in a coin |
| Impute.data.frame | Impute a data frame |
| Impute.numeric | Impute a numeric vector |
| impute_panel | Impute panel data |
| Impute.purse | Impute data sets in a purse |
| is.coin | Check if object is coin class |
| is.purse | Check if object is purse class |
| kurt | Calculate kurtosis |
| log_CT | Log-transform a vector |
| log_CT_orig | Log-transform a vector |
| log_CT_plus | Log transform a vector (skew corrected) |
| log_GII | Log-transform a vector |
| names_to_codes | Generate short codes from long names |
| n_borda | Normalise using Borda scores |
| n_dist2max | Normalise as distance to maximum value |
| n_dist2ref | Normalise as distance to reference value |
| n_dist2targ | Normalise as distance to target |
| new_coin | Create a new coin |
| n_fracmax | Normalise as fraction of max value |
| n_goalposts | Normalise using goalpost method |
| n_minmax | Minmax a vector |
| Normalise | Normalise data |
| Normalise.coin | Create a normalised data set |
| Normalise.data.frame | Normalise a data frame |
| Normalise.numeric | Normalise a numeric vector |
| Normalise.purse | Create normalised data sets in a purse of coins |
| n_prank | Normalise using percentile ranks |
| n_rank | Normalise using ranks |
| n_scaled | Scale a vector |
| n_zscore | Z-score a vector |
| outrankMatrix | Outranking matrix |
| plot_bar | Bar chart |
| plot_corr | Static heatmaps of correlation matrices |
| plot_dist | Static indicator distribution plots |
| plot_dot | Dot plots of single indicator with highlighting |
| plot_framework | Framework plots |
| plot_scatter | Scatter plot of two variables |
| plot_sensitivity | Plot sensitivity indices |
| plot_uncertainty | Plot ranks from an uncertainty/sensitivity analysis |
| prc_change | Percentage change of time series |
| print.coin | Print coin |
| print.purse | Print purse |
| qNormalise | Quick normalisation |
| qNormalise.coin | Quick normalisation of a coin |
| qNormalise.data.frame | Quick normalisation of a data frame |
| qNormalise.purse | Quick normalisation of a purse |
| qTreat | Quick outlier treatment |
| qTreat.coin | Quick outlier treatment of a coin |
| qTreat.data.frame | Quick outlier treatment of a data frame |
| qTreat.purse | Quick outlier treatment of a purse |
| rank_df | Convert a data frame to ranks |
| Regen | Regenerate a coin or purse |
| Regen.coin | Regenerate a coin |
| Regen.purse | Regenerate a purse |
| remove_elements | Check the effect of removing indicators or aggregates |
| replace_df | Replace multiple values in a data frame |
| round_df | Round down a data frame |
| SA_estimate | Estimate sensitivity indices |
| SA_sample | Generate sample for sensitivity analysis |
| Screen | Screen units based on data availability |
| Screen.coin | Screen units based on data availability |
| Screen.data.frame | Screen units based on data availability |
| Screen.purse | Screen units based on data availability |
| signif_df | Round a data frame to specified significant figures |
| skew | Calculate skewness |
| Treat | Treat outliers |
| Treat.coin | Treat a data set in a coin for outliers |
| Treat.data.frame | Treat a data frame for outliers |
| Treat.numeric | Treat a numeric vector for outliers |
| Treat.purse | Treat a purse of coins for outliers |
| ucodes_to_unames | Convert uCodes to uNames |
| winsorise | Winsorise a vector |
| WorldDenoms | World denomination data |
