# LikertMakeR 0.3.0 (2024-05-18)

## more randomness in swaps task to makeCorrAlpha() function

correlation matrix usually has values sorted lowest to highest. This happens less often

# LikertMakeR 0.2.6 (2024-05-11)

## added ‘precision’ parameter to makeCorrAlpha() function

‘precision’ adds random variation around the target Cronbach’s Alpha. Default = ‘0’ (no variation giving Alpha exact to two decimal places)

# LikertMakeR 0.2.5 (2024-04-20)

## added correlateScales() function

Create a dataframe of correlated scales from different dataframes of scale items

# LikertMakeR 0.2.2 (2024-03-31)

## added makeItemsScale() function

Generate rating-scale items from a given summated scale

# LikertMakeR 0.2.0 (2024-03-02)

## For submission to CRAN

Faster and more accurate functions: *lcor()* & *lfast()*

These replace the old *lcor()* & *lfast()* with the previous *lcor_C()* & *lfast_R()*

# LikertMakeR 0.1.9 (2024-02-11)

### Added a new functions: *makeCorrAlpha()*, *makeItems()*, *alpha()*, *eigenvalues()*

*makeCorrAlpha()* constructs a random correlation matrix of given dimensions and predefined Cronbach’s Alpha.

*makeItems()* generates synthetic rating-scale data with predefined first and second moments and a predefined correlation matrix

*alpha()* calculate Cronbach’s Alpha from a given correlation matrix or a given dataframe

*eigenvalues()* calculates eigenvalues of a correlation matrix with an optional scree plot

# LikertMakeR 0.1.7 (2024-02-02)

### Added a new function: *lcor_C()*

*lcor_C()* is a C++ implementation of the *lcor()* function. It should run considerably faster than *lcor()*. When I’m confident that *lcor_C()* works as well or better than *lcor()*, then I shall replace *lcor()* with the C++ implementation in an update to CRAN.

# LikertMakeR 0.1.6 (2024-01-18)

Made code and examples more tidy - this makes code a few nanoseconds faster

Added some further in-line comments.

setting up for some C++ mods to make lcor() faster, and to introduce make_items() function.

# LikertMakeR 0.1.5 (2022-12-20)

### Initial CRAN release

Added references to DESCRIPTION file and expanded citations to vignettes

Reduced runtime by setting target to zero instead of -Inf.

Specified one thread instead of attempting Parallel