LikertMakeR 1.0.0 (2025-04-03)

makeCorrLoadings() function added

makeCorrLoadings() generates a correlation matrix of inter-item correlations based on item factor loadings as might be seen in Exploratory Factor Analysis (EFA) or a Structural Equation Model (SEM).

Such a correlation matrix can be applied to the function to generate synthetic data with those predefined factor structures.

LikertMakeR 1.0.0 (2025-01-08)

update version number to correct major.minor.patch format

No update from V 0.4.5.

This will be the new numbered for submission to CRAN

LikertMakeR 0.4.5 (2025-01-07)

makePaired() function added

makePaired() generates a dataframe of two paired vectors to emulate data for a paired-sample t-test

LikertMakeR 0.4.0 (2024-11-17)

target Cronbach’s Alpha added to makeItemsScale() function

generated scale items now defined by a target Cronbach’s Alpha, as well as by variance within each scale item. This latest version adds a little randomness to the selection of candidate row vectors.

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

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