epi.occc: Overall concordance correlation coefficient (OCCC)

In psolymos/contrib: Contributions to various R packages

Description

Overall concordance correlation coefficient (OCCC) for agreement on a continuous measure based on Lin (1989, 2000) and Barnhart et al. (2002).

Usage

epi.occc(x, na.rm = FALSE, pairs = FALSE)

## S3 method for class 'epi.occc'
print(x, ...)

Arguments

x	a matrix, or a matrix like object. Rows correspond to cases/observations, columns corresponds to raters/variables.
na.rm	logical. Should missing values (including NaN) be removed?
pairs	logical. Should the return object contain pairwise statistics? See Details.
...	further arguments passed to print methods.

Details

The index proposed by Barnhart et al. (2002) is the same as the index suggested by Lin (1989) in the section of future studies with correction of typographical error in Lin (2000).

Value

An object of class 'occc' with the following list elements (notation follows Barnhart et al. 2002):

• occc: the value of the overall concordance correlation coefficient (rho.o^c),

• oprec: overall precision (rho),

• oaccu: overall accuracy (chi^a),

• pairs: a list with following elements (only if pairs = TRUE, otherwise NULL; column indices for the pairs (j,k) follow lower-triangle column-major rule based on a ncol(x) times ncol(x) matrix),

  • ccc: pairwise CCC values (rho_jk^c),

  • prec: pairwise precision values (rho_jk),

  • accu: pairwise accuracy values chi_jk^a),

  • ksi: pairwise weights (ksi_jk),

  • scale: pairwise scale values (v_jk),

  • location: pairwise location values (u_jk),

• data.name: name of the input data x.

Author(s)

Peter Solymos, [e-mail].

References

Barnhart H X, Haber M, Song J (2002). Overall concordance correlation coefficient for evaluating agreement among multiple observers. Biometrics 58: 1020 - 1027.

Lin L (1989). A concordance correlation coefficient to evaluate reproducibility. Biometrics 45: 255 - 268.

Lin L (2000). A note on the concordance correlation coefficient. Biometrics 56: 324 - 325.

See Also

epi.ccc

Examples

## Generate some artificial ratings data:
set.seed(1234)
p <- runif(10, 0, 1)
(x <- replicate(5, rbinom(10, 4, p) + 1))
(z <- epi.occc(x, pairs = TRUE))
str(z)

psolymos/contrib documentation built on May 26, 2019, 11:31 a.m.