| summary.ordinalRR {ordinalRR} | R Documentation |
Summarize an object of class ordinalRR.
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
Examples
data(followup)
followup
x=preprocess(followup)
g.random<-ordinalRR(x)
summary(g.random)