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Changelog

Source: NEWS.md

LikertMakeR (development version)

LikertMakeR 1.3.0 (2025-11-24)

CRAN release: 2025-11-26

Improvements

  • New makeScalesRegression() function : Generates synthetic rating-scale data that replicates reported regression results, and then returns

    1. a data frame that provides the requested statistical properties and

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

    3. diagnostic statistics, including comparison of target values against achieved values.

  • makeScales() function replaces makeItems() function:

    • I finally worked out how to turn a single value into a vector of length k.
    • Embarrassingly straightforward.

  • Updated version of makeCorrAlpha() function produces a more “natural-looking” correlation matrix, plus diagnostics:

    • previous version sorted correlations in the correlation matrix to improve likelihood of extracting a positive-definite matrix. Fast, but unnatural results.
    • I have applied a slightly faster algorithm for rearranging the correlations in a draft matrix to produce one that is positive-definite.
    • Additional parameter sort_cors = FALSE. If TRUE, results are similar to the earlier version of makeCorrAlpha().
    • Additional parameter diagnostics = FALSE. If TRUE, returns a list containing the correlation matrix and a diagnostics list (target/achieved alpha, average inter-item correlation, eigenvalues, PD flag, and key arguments). If FALSE (default), returns the correlation matrix only.

  • Updated version of lfast() function

    • runs slightly faster

Maintenance

LikertMakeR 1.2.0 (2025-10-10)

CRAN release: 2025-10-09

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)

CRAN release: 2025-05-30

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)

CRAN release: 2025-04-04

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)

CRAN release: 2025-04-04

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)

CRAN release: 2024-11-19

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)

CRAN release: 2024-05-19

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)

CRAN release: 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)

CRAN release: 2022-12-22

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