summary.ordinalRR: Summarize an object of class ordinalRR.

In ordinalRR: Analysis of Repeatability and Reproducibility Studies with Ordinal Measurements

Description

This function displays: the original call to ordinalRR(), a summary of the ordinal repeatability and reproducibility (R&R) data and its Bayesian posterior sample from JAGS, a table with point estimates of repeatability and model parameters for each rater, and a table with point estimates of R&R for each pair of raters. The estimates for repeatability and R&R are the basic/simple statistics defined in Equations (24) and (25) of Culp, Ryan, Chen, and Hamada (2018). Estimated repeatability is the proportion of matches on all pairs of repetitions for a given rater on a given part across all parts. Estimated R&R is the proportion of matches on all pairs of repetitions for a given pair of raters on a given part across all parts. On the other hand, reported parameter estimates for the De Mast-Van Wieringen Model (i.e., discrimination parameter a and cutpoints d) are the posterior medians based on a Bayesian fixed- or random-effects extension from Culp, Ryan, Chen, and Hamada (2018).

Usage

## S3 method for class 'ordinalRR'
summary(object,decimals=1,...)

Arguments

object	‘ordinalRR’ output from function ordinalRR().
decimals	‘positive integer’ number of decimals to report model parameter estimates (repeatability and R&R are reported to two additional places).
...	mop up additional inputs.

Author(s)

Ken Ryan

References

Culp, S.L., Ryan, K.J., Chen, J., and Hamada, M.S. (2018). “Analysis of Repeatability and Reproducibility Studies with Ordinal Measurements.” Technometrics, doi:10.1080/00401706.2018.1429317.

de Mast, J. and van Wieringen, W.N. (2010). “Modeling and Evaluating Repeatability and Reproducibility of Ordinal Classifications.” Technometrics, 52(1), 94-106.

See Also

ordinalRR

Examples

  
data(followup)
followup
x=preprocess(followup)
g.random<-ordinalRR(x)
summary(g.random)

ordinalRR documentation built on March 31, 2020, 5:09 p.m.