inst/doc/overview.R

In irrCAC: Computing Chance-Corrected Agreement Coefficients (CAC)

## ---- include = FALSE----------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

## ----setup---------------------------------------------------------------
library(irrCAC)

## ------------------------------------------------------------------------
  data(package="irrCAC")

## ------------------------------------------------------------------------
  cont3x3abstractors
  kappa2.table(cont3x3abstractors)
  scott2.table(cont3x3abstractors)
  gwet.ac1.table(cont3x3abstractors)
  bp2.table(cont3x3abstractors)
  krippen2.table(cont3x3abstractors)
  pa2.table(cont3x3abstractors)

## ------------------------------------------------------------------------
  ac1 <- gwet.ac1.table(cont3x3abstractors)$coeff.val

## ------------------------------------------------------------------------
distrib.6raters
gwet.ac1.dist(distrib.6raters)
fleiss.kappa.dist(distrib.6raters)
krippen.alpha.dist(distrib.6raters)
bp.coeff.dist(distrib.6raters)

## ------------------------------------------------------------------------
  alpha <- krippen.alpha.dist(distrib.6raters)$coeff

## ------------------------------------------------------------------------
  ac1 <- gwet.ac1.dist(cac.dist4cat[,2:4])$coeff

## ------------------------------------------------------------------------
  cac.raw4raters

## ------------------------------------------------------------------------
pa.coeff.raw(cac.raw4raters)
gwet.ac1.raw(cac.raw4raters)
fleiss.kappa.raw(cac.raw4raters)
krippen.alpha.raw(cac.raw4raters)
conger.kappa.raw(cac.raw4raters)
bp.coeff.raw(cac.raw4raters)

## ------------------------------------------------------------------------
ac1 <- gwet.ac1.raw(cac.raw4raters)$est
ac1

## ------------------------------------------------------------------------
ac1 <- gwet.ac1.raw(cac.raw4raters)$est
ac1$coeff.val