restr: Restriction of control variability

In EstimateBreed: Estimation of Environmental Variables and Genetic Parameters

Restriction of control variability

Description

Method for restricting the variability of control proposed by Carvalho et al. (2023). It uses the restriction of the mean plus or minus one standard deviation. standard deviation, which restricts variation by removing asymmetric values.

Usage

restr(TEST, REP, Xi, scenario = NULL, zstat = NULL, verbose = FALSE)

Arguments

TEST	The column with the name of the witness
REP	The column with the replications
Xi	The column with the observed value for a given genotype.
scenario	Scenario to be used for the calculation. Use 'original' to do not restrict the witnesses by the mean plus or minus the standard deviations, or 'restr' to apply the restriction.
zstat	Logical argument. Applies Z-notation normalization if 'TRUE'.
verbose	Logical argument. Runs the code silently if FALSE.

Value

Describes controls that were removed from the dataset to restrict variability.

Author(s)

Willyan Junior Adorian Bandeira

Ivan Ricardo Carvalho

Murilo Vieira Loro

Leonardo Cesar Pradebon

Jose Antonio Gonzalez da Silva

References

Carvalho, I. R., Silva, J. A. G. da, Moura, N. B., Ferreira, L. L., Lautenchleger, F., & Souza, V. Q. de. (2023). Methods for estimation of genetic parameters in soybeans: An alternative to adjust residual variability. Acta Scientiarum. Agronomy, 45, e56156. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.4025/actasciagron.v45i1.56156")}

Examples

library(EstimateBreed)

TEST <- rep(paste("T", 1:5, sep=""), each=3)
REP <- rep(1:3, times=5)
Xi <- rnorm(15, mean=10, sd=2)

data <- data.frame(TEST,REP,Xi)

#Apply the control variability constraint
Control <- with(data, restr(TEST,REP,Xi,scenario = "restr",zstat = FALSE))

#Apply control variability restriction with normalization (Z statistic)
Control <- with(data, restr(TEST,REP,Xi,scenario = "restr",zstat = TRUE))

EstimateBreed documentation built on April 4, 2025, 5:37 a.m.