| jam {CMHNPA} | R Documentation |
Jam data
Description
Plum jam sweetness data based on JAR judge scores.
Usage
data(jam)
Format
A data frame with 24 rows and four columns.
- type
the type of jam that was tested
- judge
the judge that was used for tasting
- sweetness
the judges score for sweetness: 1 denotes not sweet enough, 2 not quite sweet enough, 3 just about right, 4 a little too sweet and 5 too sweet
- sweetness_ranks
the ranks within judge
Details
Three plum jams, A, B and C are given JAR sweetness codes by eight judges. Here, 1 denotes not sweet enough, 2 not quite sweet enough, 3 just about right, 4 a little too sweet and 5 too sweet.
Source
Rayner and Best (2017, 2018)
References
Rayner, J.C.W. and Best, D.J. (2017). Unconditional analogues of Cochran-Mantel-Haenszel tests. Australian & NZ Journal of Statistics, 59(4), 485-494.
Rayner, J.C.W. and Best, D.J. (2018). Extensions to the Cochran-Mantel-Haenszel mean scores and correlation tests. Journal of Statistical Theory and Practice.
Examples
attach(jam)
a_ij = matrix(rep(1:3,8), ncol = 8)
b_hj = matrix(rep(1:5,8), ncol = 8)
CMH(treatment = type, response = sweetness, strata = judge,
a_ij = a_ij, b_hj = b_hj, test_OPA = FALSE, test_GA = FALSE,
test_MS = FALSE)