icc.Rd
Intra class correlation for rater reliability
data.frame with repeated measures or observations in the columns and rated subjects in the rows
type of ICC that is returned, options are: `c("oneway", "agreement", "consistency")`, the default returns all.
column names used for the repeated measures in the wide format, default uses `cols = colnames(data)`
logical vector if standard error of measurement is returned.
logical vector if confidence interval for ICC is returned.
the confidence level required, default `alpha = 0.05`.
logical indicator if variance estimates are returned.
logical indicator if all ICC's should be computed from one model to increase computation time, defalt `onemodel = FALSE`.
matrix with relevant output
[icc_agreement()] [icc_oneway()] [icc_consistency()]
mam <-
breast[,c("Mam1_score","Mam2_score", "Mam3_score")]
icc(data = mam, confint = TRUE, var = TRUE)
#> icc lower upper sem var_level1 var_level2
#> oneway 0.6001478 0.4493754 0.7309390 1.1515241 1.990237 NA
#> agreement 0.5698257 0.4137129 0.7079019 1.1919337 1.881923 0.4443499
#> consistency 0.6558989 0.5162467 0.7724701 0.9899547 1.868020 NA
#> var_Residual
#> oneway 1.3260076
#> agreement 0.9763561
#> consistency 0.9800104
pch <- breast[,c("PCH1_score", "PCH2_score","PCH3_score",
"PCH4_score","PCH5_score")]
icc(data = pch)
#> icc lower upper sem
#> oneway 0.7615871 0.6710817 0.8403886 0.8591071
#> agreement 0.7593693 0.6682981 0.8387870 0.8611481
#> consistency 0.7711953 0.6829366 0.8473933 0.8317713
icc(data = pch, confint = FALSE, var = TRUE)
#> icc sem var_level1 var_level2 var_Residual
#> oneway 0.7615871 0.8591071 2.357677 NA 0.7380650
#> agreement 0.7593693 0.8611481 2.340225 0.05026114 0.6913149
#> consistency 0.7711953 0.8317713 2.331886 NA 0.6918435