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COINr 1.1.14

• Minor bug fixes: spaces in uCodes, issue exporting 2-level composite indicators to Excel
• Add scaling parameter to n_scaled()
• Option to disable outlier treatment for purses

COINr 1.1.12

• Enable custom operations on coins and purses: new generic Custom() with methods for coins and purses.
• Enable different by_df and w by aggregation level in Aggregate.coin()
• Add possibility to impute panel data using “constant” method from stats::aprox().

COINr 1.1.11

• Allow retention of units with no data in split to purse
• Allow NAs in group vector for i_median_grp()
• Enable linear interpolation in panel data with impute_panel()
• Updated documentation on aggregation and imputation functions

COINr 1.1.9

• Fixed results tables which rounded before converting to ranks, resulting in precision errors

COINr 1.1.8

• Added possibility to set normalisation parameters in iMeta, added more explanation and examples in the normalisation vignette.
• Fixed bug correlation directions

COINr 1.1.7

I have skipped a number of version number iterations. Here’s what’s changed since last time:

• Add some helper functions to convert codes to names
• Add flip axes to bar chart
• Add option to skip SA address checks
• Option to use raw data in results tables
• Small bug fixes
• Catch more errors on coin construction

COINr 1.1.2.9000

Dev version of COINr until next CRAN submission!

• Treat() now catches errors - data frame/coin/purse methods

COINr 1.1.2

Lots of small fixes and feature extensions, including

• More robust write to log, can deal with COINr::func_Name type calls
• Catch spaces and numbers in iCodes
• Tweaks to correlation tables
• Reordering for correlation plots
• Better input checks
• Extra stats
• Bi-direction log transformation for negative skewed outlier treatment
• Subgroups of units for bar charts

COINr 1.1

Some new functions and bug fixes:

• Removed defunct function messages and startup message, defunct functions are now removed from the namespace
• New get_trends() function for analysing time trends
• Option to export purse class to Excel
• Expand unit test coverage to 80%
• Quite a lot of small bug fixes
• Improved documentation in many places
• Improved colouring for some plots
• Enabled distance to target normalisation plus examples in vignette
• COINr is now citable by a JOSS paper

COINr 1.0.0

Major update to COINr. The main changes are as follows:

• Syntax changed to be more consistent
• New streamlined “coin” class replaces older “COIN” class
• New “purse” class to deal with panel data (time dependent data)
• Removed interactive functions based on plotly and shiny
• Much fewer package dependencies
• Underlying code rewritten to be more robust
• Improved functionality and flexibility in many functions
• COINr 0.6.1.9000 has been archived as a separate package called “COINr6” - this can be installed to ensure older code will still run.

The full changes are too extensive to write here. See vignette("v1") also available online here for a more complete description of changes.

Note that these changes are disruptive but greatly improve the package and make it more maintainable for the future. This is a one-off major overhaul, after which backwards compatibility will be ensured.

COINr 0.6.2

• Fixed bug in aggregate() which was wrongly assigning weights in some circumstances (note this is a fairly significant bug - worth re-running your results as it may have affected them)
• Added colour option to plotframework()
• Fixed bug in compareDF() (resulting from tibbles vs data frames)
• Fixed bug in sensitivity() causing trouble with running SA with no weights uncertainty specified

COINr 0.6.1

• Removed dependency on new native pipe so now runs again on R > 4.0

COINr 0.6.0

• New plot function plotIndDot() for plotting single indicators with possibility to label units
• Added print method for COIN class. More methods to come.
• Extended support for panel data in assemble(). This can now output multiple COINs structured into a tibble. The idea of working with multiple COINs will be extended in future versions.
• Improved bug trapping in Winsorisation function
• Added data availability thresholds during aggregation - see aggregate() function.
• Better NA colour for plotCorr() plus fixed variable ordering
• Further colour options in plotCorr()
• Variable/aggregate ordering in plotCorr() now matches grouping in higher levels
• Add option to do PCA not in groups in getPCA()
• Colour options for plotSARanks()
• Added dominance pairs calculation to ourankMatrix()
• Stopped max tab length exceeding in Excel export.
• Online book now pretty much up to date with COINr 0.6.

COINr 0.5.5

• COINr now requires R version 4.0.0 or above - this is following some issues on some distributions during CRAN checks.
• Improved documentation and bug catching in aggregate()
• New function replaceDF() which is a simple utility for multiple values in one go for a data frame.
• New function removeElements() which successively removes indicators or aggregates one at a time and summarises the effects.

COINr 0.5.4

• Fixed various small issues that were flagged by CRAN
• New function extractYear which allows panel data to be passed to assemble() and (optionally) imputed by latest year.
• Fixed bug in plorCorr() and getCorr()
• Changed WorldDenoms data set slightly to only use ASCII coding - this involved unfortunately removing a few accents on country names which is necessary to avoid warning notes when submitting to CRAN.
• Added goalpost normalisation method, as in European Skills Index
• Fixed small bug in compareDF()

COINr 0.5.3

Fixes following comments from CRAN.

• Patched up holes in the documentation
• Function examples now run where possible
• Shiny apps only run now in interactive mode

COINr 0.5.2

This is the first release submitted to CRAN. Changes include:

• Documentation has been thoroughly cleaned up, including coherent examples for each function.
• Small bugs have been checked and fixed.
• A vignette is now available

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.