R: Calculate Concentration and Dispersion in Ordered Rating Scales

# Calculate Concentration and Dispersion in Ordered Rating Scales

## Documentation for package ‘agrmt’ version 1.42.19

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

## Help Pages

agrmt-package | Calculate Concentration and Dispersion in Ordered Rating Scales
agreement | Calculate van der Eijk's measure of agreement A
agreementError | Simulated coding error for agreement A
agrmt | Calculate Concentration and Dispersion in Ordered Rating Scales
ajus | Classify distributions
ajusCheck | Sensitivity test for AJUS
ajusPlot | Plot vector with AJUS type
BerryMielke | Calculate IOV
BlairLacy | Calculate l
censor | Censor helper function
collapse | Reduces a vector to a frequency vector
compareAgreement | Compare agreement A with and without simulated coding error
compareValues | Compares two values
concentration | Measures concentration
consensus | Calculate Tastle and Wierman's measure of consensus
consensus.variance | Approximate variance of consensus
D.variance | Approximate variance of Leik's D
disper | Measures distance
dispersion | Measures dispersion
dsquared | Calculate d-squared
entropy | Calculate Shannon entropy
expand | Expands a frequency vector to a vector
isd | Classify changes over time
Kvalseth | Calculate Kvalseth's COV
l.variance | Approximate variance of Blair and Lacy's l
Leik | Calculate ordinal dispersion
lsquared | Calculate l-squared
lsquared.variance | Approximate variance of Blair and Lacy's lsquared
minnz | Non-zero minimum
modes | Identify multiple modes
MRQ | Calculates MRQ polarization index
patternAgreement | Calculates patterns agreement
patternVector | Creates pattern vector
polarization | Calculate polarization
Reardon | Reardon's entropy
reduceVector | Remove zeros and repeated values
sd.variance | Approximate variance of the categorical standard deviation
secondModes | Most common and second most common values
truncatevector | Truncate helper function
var.variance | Approximate variance of the consensus (Cns) estimator