reliability | R Documentation |
Measures the precision of estimated values, and the potential response to selection on those estimated values compared to a check
reliability(x, ...)
## Default S3 method:
reliability(x, y = NULL, ...)
## S3 method for class 'PlackettLuce'
reliability(x, ref, ...)
## S3 method for class 'pltree'
reliability(x, ref, ...)
x |
a numeric vector, or an object
of class |
... |
additional arguments passed to methods |
y |
numeric, the reference value |
ref |
a character or integer for indexing the element containing reference values in x |
the reliability based on the worth parameters
Kauê de Sousa, David Brown, Jacob van Etten
Eskridge and Mumm (1992). Theoret. Appl. Genetics 84, 494–500 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/BF00229512")}.
# Case 1. vector example
x = c(9.5, 12, 12.3, 17)
y = 11.2
reliability(x, y)
# Case 2. PlackettLuce model
library("PlackettLuce")
R = matrix(c(1, 2, 4, 3,
4, 1, 2, 3,
2, 3, 1, 4,
4, 2, 3, 1,
2, 1, 4, 3,
1, 4, 3, 2), nrow = 6, byrow = TRUE)
colnames(R) = c("apple", "banana", "orange", "pear")
mod = PlackettLuce(R)
reliability(mod, ref = "orange")
# Case 3. PlackettLuce tree
data("beans", package = "PlackettLuce")
G = rank_tricot(data = beans,
items = c(1:3),
input = c(4:5),
group = TRUE,
additional.rank = beans[c(6:8)])
pld = cbind(G, beans[,c("maxTN", "season", "lon")])
tree = pltree(G ~ maxTN + season + lon, data = pld)
reliability(tree, ref = "Local")
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