tidycomm (version 0.0.1)

compute_icr: Compute intercoder reliability estimates for one test variable

Description

Computes intercoder reliability estimates for one test variable

Usage

compute_icr(test_var, data, unit_var, coder_var, levels = c(),
  na.omit = FALSE, agreement = TRUE, holsti = TRUE,
  kripp_alpha = TRUE, cohens_kappa = FALSE, fleiss_kappa = FALSE,
  brennan_prediger = FALSE)

Arguments

test_var

Variable to compute estimates for

data

a tibble

unit_var

Variable with unit identifiers

coder_var

Variable with coder identifiers

levels

Optional named vector with levels of test variables

na.omit

Logical indicating whether NA values should be stripped before computation. Defaults to FALSE.

agreement

Logical indicating whether simple percent agreement should be computed. Defaults to TRUE.

holsti

Logical indicating whether Holsti's reliability estimate (mean pairwise agreement) should be computed. Defaults to TRUE.

kripp_alpha

Logical indicating whether Krippendorff's Alpha should be computed. Defaults to TRUE.

cohens_kappa

Logical indicating whether Cohen's Kappa should be computed. Defaults to FALSE.

fleiss_kappa

Logical indicating whether Fleiss' Kappa should be computed. Defaults to FALSE.

brennan_prediger

Logical indicating whether Brennan & Prediger's Kappa should be computed. Defaults to FALSE.

See Also

Other intercoder reliability: icr_agreement, icr_brennan_prediger, icr_cohens_kappa, icr_fleiss_kappa, icr_holstis_CR, icr_kripp_alpha, test_icr, unit_coder_matrix