##Abrindo os dados no R
dados <- read.csv("C:/Users/Karina Marques/Desktop/Planilha_PROI_exercicio_Karina.csv", header = TRUE, sep= ";")
##instalar e abrir pacote de anĂ¡lise
library("irr")
## Loading required package: lpSolve
kappacategoria <- data.frame(dados$X, dados$X.3)
kappaclareza <- data.frame(dados$Juiz1, dados$Juiz2)
kappapertinencia <- data.frame(dados$X.1, dados$X.4)
kapparelevancia <- data.frame(dados$X.2, dados$X.5)
kappa2(kappacategoria)
## Cohen's Kappa for 2 Raters (Weights: unweighted)
##
## Subjects = 62
## Raters = 2
## Kappa = 0.519
##
## z = 11
## p-value = 0
kappa2(kappaclareza)
## Cohen's Kappa for 2 Raters (Weights: unweighted)
##
## Subjects = 62
## Raters = 2
## Kappa = 0.138
##
## z = 1.34
## p-value = 0.18
kappa2(kappapertinencia)
## Cohen's Kappa for 2 Raters (Weights: unweighted)
##
## Subjects = 62
## Raters = 2
## Kappa = -0.0449
##
## z = -0.594
## p-value = 0.552
kappa2(kapparelevancia)
## Cohen's Kappa for 2 Raters (Weights: unweighted)
##
## Subjects = 62
## Raters = 2
## Kappa = 0.053
##
## z = 0.777
## p-value = 0.437