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

## Documentation for package ‘LikertMakeR’ version 1.4.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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