Calculate Concentration and Dispersion in Ordered Rating Scales
Calculate van der Eijk's measure of agreement A
Simulated coding error for agreement A
Calculate Concentration and Dispersion in Ordered Rating Scales
Classify distributions
Sensitivity test for AJUS
Plot vector with AJUS type
Calculate IOV
Calculate l
Censor helper function
Reduces a vector to a frequency vector
Compare agreement A with and without simulated coding error
Compares two values
Measures concentration
Calculate Tastle and Wierman's measure of consensus
Approximate variance of consensus
Approximate variance of Leik's D
Measures distance
Measures dispersion
Calculate d-squared
Calculate Shannon entropy
Expands a frequency vector to a vector
Classify changes over time
Calculate Kvalseth's COV
Approximate variance of Blair and Lacy's l
Calculate ordinal dispersion
Calculate l-squared
Approximate variance of Blair and Lacy's lsquared
Non-zero minimum
Identify multiple modes
Calculates MRQ polarization index
Calculates patterns agreement
Creates pattern vector
Calculate polarization
Reardon's entropy
Remove zeros and repeated values
Approximate variance of the categorical standard deviation
Most common and second most common values
Truncate helper function
Approximate variance of the consensus (Cns) estimator
Calculates concentration and dispersion in ordered rating scales. It implements various measures of concentration and dispersion to describe what researchers variably call agreement, concentration, consensus, dispersion, or polarization among respondents in ordered data. It also implements other related measures to classify distributions. In addition to a generic city-block based concentration measure and a generic dispersion measure, the package implements various measures, including van der Eijk's (2001) <DOI: 10.1023/A:1010374114305> measure of agreement A, measures of concentration by Leik, Tatsle and Wierman, Blair and Lacy, Kvalseth, Berry and Mielke, Reardon, and Garcia-Montalvo and Reynal-Querol. Furthermore, the package provides an implementation of Galtungs AJUS-system to classify distributions, as well as a function to identify the position of multiple modes.