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LikertMakeR (development version)

LikertMakeR 1.2.0 (2025-10-10)

Improvements

• New makeRepeated() function : takes summary statistics that are reported in a typical repeated-measures ANOVA study, and then returns

  1. a correlation matrix of the vectors of repeated measures and

  2. a data frame based on the correlation matrix and summary moments, plus

  3. diagnostic statistics, including possible F-statistics based on information provided.

• #lfast_validation# vignette shows that #LikertMaker# does a remarkably good job of replicating real rating-scale data.

Maintenance

• Vignettes are too large with so many images, so CRAN files include only the #LikertMakeR_vignette# file. Two vignettes that validate lfast() and makeCorrLoadings() appear only in the package website.

LikertMakeR 1.1.0 (2025-05-26)

Improvements

• new makePaired() function: takes summary statistics from a paired-sample t-test and produces a data frame of rating-scale data that would deliver such summary statistics

• lcor() function rewrite: previous version used a very systematic swapping of values in each column to minimise the difference between data correlation and a target correlation matrix. This algorithm had the effect of causing extreme values in each column to be highly-correlated (or lowly correlated as applicable), and leaving middle-values relatively uncorrelated. This property was probably not noticeable in most cases but was apparent when the range of scale values was great.

Maintenance

• Vignettes minor updates.

LikertMakeR 1.0.2 (2025-04-25)

Improvements

• Some test examples updated.

Maintenance

• Vignettes updated.

LikertMakeR 1.0.1 (2025-04-07)

Improvements

• Vignettes are now properly registered and included in the build.
• Improved documentation: two vignettes now illustrate package usage:
  • LikertMakeR vignette
  • makeCorrLoadings validation
• Updated DESCRIPTION metadata to comply with CRAN requirements.

Maintenance

• Switched vignette engine to knitr::rmarkdown for better compatibility with CRAN and development tools.

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

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.
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