table_stability {toolStability} | R Documentation |
Table of stability indices
Description
table_stability
export all the stability indices in the package.
Usage
table_stability(
data,
trait,
genotype,
environment,
lambda,
normalize = FALSE,
unit.correct = FALSE
)
Arguments
data |
a data frame containing trait, genotype and environment. |
trait |
colname of a column containing a numeric vector of interested trait to be analyzed. |
genotype |
colname of a column containing a character or factor vector labeling different genotypic varieties. |
environment |
colname(s) of a column containing a character or factor vector labeling different environments, if input is a vector containing multiple column names, then it will be merged into single environment column in the function. |
lambda |
the minimal acceptable value of trait that the user expected from crop across environments. Lambda should between the ranges of trait vlaue. |
normalize |
logical, default is |
unit.correct |
logical, default is |
Details
Combine all stability indices in this package and export as a table, including mean trait, normality of the trait across environment.
Value
a data table with multiple stability indices
Author(s)
Tien-Cheng Wang
References
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Hanson WD (1970).
“Genotypic stability.”
Theoretical and Applied Genetics, 40(5), 226–231.
ISSN 1432-2242, doi: 10.1007/BF00285245.
Lin CS, Binns MR (1988).
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location data.”
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ISSN 0008-4220, https://cdnsciencepub.com/doi/10.4141/cjps88-018.
Shukla GK (1972).
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Nassar R, Hühn M (1987).
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ISSN 0006-341X.
Eskridge KM (1990).
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Crop Science, 30(2), 369.
ISSN 0011-183X, doi: 10.2135/cropsci1990.0011183X003000020025x.
See Also
adjusted_coefficient_of_variation
Examples
data(Data)
tb <- table_stability(
data = Data,
trait = "Yield",
genotype = "Genotype",
environment = "Environment",
lambda = median(Data$Yield),
normalize = TRUE,
unit.correct=TRUE)