This package is considered a duplicate. The official version of this package is found at:https://winzarh.r-universe.dev/LikertMakeR

Package: LikertMakeR 2.3.0

Hume Winzar

LikertMakeR: Synthesise and Correlate Likert Scale and Rating-Scale Data Based on Summary Statistics

Generate and correlate synthetic Likert and rating-scale questionnaire responses with predefined means, standard deviations, Cronbach's Alpha, Factor Loading table, coefficients, and other summary statistics. It can be used to simulate Likert data, construct multi-item scales, generate correlation matrices, and create example survey datasets for teaching statistics, psychometrics, and methodological research. Worked examples and documentation are available in the package articles, accessible via the package website, <https://winzarh.github.io/LikertMakeR/>.

Authors:Hume Winzar [cre, aut]

LikertMakeR_2.3.0.tar.gz
LikertMakeR_2.3.0.tar.gz(r-4.7-arm64)LikertMakeR_2.3.0.tar.gz(r-4.7-x86_64)LikertMakeR_2.3.0.tar.gz(r-4.6-arm64)LikertMakeR_2.3.0.tar.gz(r-4.6-x86_64)
LikertMakeR_2.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
LikertMakeR/json (API)
NEWS

# Install 'LikertMakeR' in R:

install.packages('LikertMakeR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/winzarh/likertmaker/issues

Pkgdown/docs site:https://winzarh.github.io

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

On CRAN:

openblas cpp

4.03 score 18 scripts 292 downloads 16 exports 21 dependencies

Last updated from:c2155c1767. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	164
linux-devel-x86_64	OK	153
source / vignettes	OK	265
linux-release-arm64	OK	166
linux-release-x86_64	OK	178
wasm-release	OK	143

Exports:alpha alpha_sensitivity correlateScales eigenvalues lcor lexact lfast makeCorrAlpha makeCorrLoadings makeItemsScale makePaired makeRepeated makeScales makeScalesRegression ordinal_diagnostics reliability

Dependencies:cli dplyr generics glue gtools lattice lifecycle magrittr Matrix matrixStats pillar pkgconfig R6 Rcpp RcppArmadillo rlang tibble tidyselect utf8 vctrs withr

LikertMakeR vignette

Hume Winzar

Rendered fromLikertMakeR_vignette.Rmdusingknitr::rmarkdownon May 21 2026.

Last update: 2026-05-21
Started: 2022-12-22

likertMakeR::reliability()

Hume Winzar

Rendered fromreliability_measures.Rmdusingknitr::rmarkdownon May 21 2026.

Last update: 2026-03-23
Started: 2026-02-11

Help page	Topics
Calculate Cronbach's Alpha from a correlation matrix or dataframe	alpha
Sensitivity of Cronbach's alpha to scale design parameters	alpha_sensitivity
Dataframe of correlated scales from different dataframes of scale items	correlateScales
calculate eigenvalues of a correlation matrix with optional scree plot	eigenvalues
Rearrange elements in each column of a data-frame to fit a predefined correlation matrix	lcor
Deprecated. Use lfast() instead	lexact
Synthesise rating-scale data with predefined mean and standard deviation	lfast
Correlation matrix from Cronbach's Alpha	makeCorrAlpha
Generate Inter-Item Correlation Matrix from Factor Loadings	makeCorrLoadings
Generate scale items from a summated scale, with desired Cronbach's Alpha	makeItemsScale
Synthesise a dataset from paired-sample t-test summary statistics	makePaired
Reproduce Repeated-Measures Data from ANOVA Summary Statistics	makeRepeated
Synthesise rating-scale data with given first and second moments and a predefined correlation matrix	makeScales
Generate Data from Multiple-Regression Summary Statistics	makeScalesRegression
Extract ordinal diagnostics from a reliability() result	ordinal_diagnostics
Estimate scale reliability for Likert and rating-scale data	reliability

Package: LikertMakeR 2.3.0

LikertMakeR: Synthesise and Correlate Likert Scale and Rating-Scale Data Based on Summary Statistics

LikertMakeR vignette

likertMakeR::reliability()

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)