Package index • COINr

Build

Modify and create new data sets

new_coin(): Create a new coin

Screen(): Screen units based on data availability

Denominate(): Denominate data

Impute(): Imputation of missing data

Treat(): Treat outliers

qTreat(): Quick outlier treatment

Normalise(): Normalise data

qNormalise(): Quick normalisation

Aggregate(): Aggregate data

Custom(): Custom operation

Analyse

Analyse data sets, summarise results and check sensitivity

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_denom_corr(): Correlations between indicators and denominators

get_eff_weights(): Get effective weights

get_opt_weights(): Weight optimisation

get_noisy_weights(): Noisy replications of weights

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_str_weak(): Generate strengths and weaknesses for a specified unit

get_trends(): Get time trends

get_unit_summary(): Generate unit summary table

remove_elements(): Check the effect of removing indicators or aggregates

Plot

Plot indicators, distributions and others

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

Adjust and compare

Adjust coins, regenerate them and compare alternative versions

Regen(): Regenerate a coin or purse

change_ind(): Add and remove indicators

compare_coins(): Compare two coins

compare_coins_multi(): Compare multiple coins

compare_coins_corr(): Compare two coins by correlation

Helpers

Helper functions to take care of common tasks

import_coin_tool(): Import data directly from COIN Tool

COIN_to_coin(): Convert a COIN to a coin

build_example_coin(): Build ASEM example coin

build_example_purse(): Build example purse

export_to_excel(): Export a coin or purse to Excel

Other functions

Other functions including methods and small functions called by other functions

Aggregate(<coin>): Aggregate indicators in a coin

Aggregate(<data.frame>): Aggregate data frame

Aggregate(<purse>): Aggregate indicators

approx_df(): Interpolate time-indexed data frame

a_amean(): Weighted arithmetic mean

a_copeland(): Copeland scores

a_gmean(): Weighted geometric mean

a_hmean(): Weighted harmonic mean

a_genmean(): Weighted generalised mean

boxcox(): Box Cox transformation

CAGR(): Compound annual growth rate

check_iData(): Check iData

check_iMeta(): Check iMeta

check_SkewKurt(): Check skew and kurtosis of a vector

compare_df(): Compare two data frames

Custom(<coin>): Custom operation

Custom(<purse>): Custom operation

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(<coin>): Export a coin to Excel

export_to_excel(<purse>): Export a purse to Excel

get_data(<coin>): Get subsets of indicator data

get_data(<purse>): Get subsets of indicator data

get_data_avail(<coin>): Get data availability of units

get_data_avail(<data.frame>): Get data availability of units

get_dset(<coin>): Gets a named data set and performs checks

get_dset(<purse>): Gets a named data set and performs checks

get_dset(): Gets a named data set and performs checks

get_stats(<coin>): Statistics of indicators

get_stats(<data.frame>): Statistics of columns

Impute(<coin>): Impute a data set in a coin

Impute(<data.frame>): Impute a data frame

Impute(<numeric>): Impute a numeric vector

Impute(<purse>): Impute data sets in a purse

impute_panel(): Impute panel data

is.coin(): Check if object is coin class

is.purse(): Check if object is purse class

i_mean(): Impute by mean

i_mean_grp(): Impute by group mean

i_median(): Impute by median

i_median_grp(): Impute by group median

icodes_to_inames(): Convert iCodes to iNames

kurt(): Calculate kurtosis

log_CT(): Log-transform a vector

log_CT_plus(): Log transform a vector (skew corrected)

log_CT_orig(): Log-transform a vector

log_GII(): Log-transform a vector

names_to_codes(): Generate short codes from long names

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_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

n_fracmax(): Normalise as fraction of max value

n_goalposts(): Normalise using goalpost method

n_minmax(): Minmax a vector

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

prc_change(): Percentage change of time series

print(<coin>): Print coin

print(<purse>): Print purse

qNormalise(<coin>): Quick normalisation of a coin

qNormalise(<data.frame>): Quick normalisation of a data frame

qNormalise(<purse>): Quick normalisation of a purse

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(<coin>): Regenerate a coin

Regen(<purse>): Regenerate a purse

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(<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(<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

Data

Built in data sets used in examples and testing.

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

WorldDenoms: World denomination data