What is a coin? | Indicator data | Indicator metadata | Building with new_coin() | Example coin | Purses and panel data | Summary

Introduction | Data frames | Coins | Purses

Introduction | Defining the problem | Input distributions | Uncertainty analysis | Sensitivity analysis | Discussion/tips | Removing elements

Introduction | Weighting | Approaches | Means | Other methods | Coins | COINr aggregation functions | External functions | Data availability limits | By level | Data frames | Purses | What next?

Coins | Calling external functions | Directions | Goalposts, targets and iMeta specification | Individual normalisation | Data frames and vectors | Purses | Simplified normalisation | Built-in normalisation functions | Linear methods | Min-max | Z-score | Scaling | Distance to maximum | Fraction of maximum | Rank methods | Ranks | Borda | Percentile ranks | Targets and references | Distance to a reference | Distance to target | Goalposts

Why | Robustness and efficiency | Focus | Dependencies | Features and flexibility | Syntax | What's changed? | Function names | Function features | New "coin" class and methods | Purses and panel data | Documentation | Removed functions | COINr6: I want out! | Summary

Introduction | Installation | Features | Quick example | Finally

Framework | Statistical plots | Distributions | Correlations | Indicator plots | Bar | Dot plots | Scatter

Manual re-weighting | Effective weights | PCA weights | Optimised weights

Data sets | Data subsets | Indicators/columns | Units/rows | Manual selection

Regeneration | Adding/removing indicators | Comparison

Indicator statistics | Unit data availability | Correlations | Multivariate tools

Data frames | Coins | Purses

Import and export | Converting from older COINr versions | Other useful functions

Introduction | The Treat() function | Numeric vectors | Data frames | Coins | Default treatment | Individual treatment | External functions | Purses | Simplified function

Data frames | Coins | Purses