preprocess {ordinalRR}

Format an ordinal R&R data frame into object required by function ordinalRR.

Description

This function accepts a concise data frame containing the ordinal responses from an R&R study and expands it into the necessary multinomial counts, so it can be an input to function ordinalRR() for Bayesian data analysis.

Usage

preprocess(x, J=3, K=2, H=4)

Arguments

x

‘data.frame’ containing J*K columns and entries from the H-point ordinal scale 1:H. The required format is a row for each part and blocks of K adjacent columns for the repetitions of each of J raters, e.g., rater 1's columns are the first K and rater J's columns are the last K.

J

‘positive integer’ defining the number of raters.

K

‘positive integer’ defining the number of repetitions per rater.

H

‘positive integer’ defining the H-point ordinal scale on {1,...,H}.

Value

I

‘positive integer’ number of parts.

J

‘positive integer’ number of raters.

K

‘positive integer’ number of repetitions per rater.

H

‘positive integer’ length of the H-point ordinal scale on {1,...,H}.

x

‘data.frame’ containing J*K columns and entries from the H-point ordinal scale 1:H. Each part is a row, and there are blocks of K adjacent columns for the repetitions of each of J raters, e.g., rater 1's columns are the first K and rater J's columns are the last K.

R

‘array’ x is expanded into a 3-dimensional array (i.e., part 1:I, operator 1:J, ordinal value 1:H) with multinomial counts.

preprocess

‘Boolean’ will be TRUE if the data are ready for input into function ordinaRR() for Bayesian analysis with JAGS.

Author(s)

Ken Ryan

See Also

followup

Examples

data(followup)
followup
preprocess(followup)