EstimateBreed (version 1.0.2)

restr: 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)

Value

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

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.

Author

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. 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))