mve.met: Estimation of missing values for a MET in a RCBD

In reyzaguirre/st4gi: Statistical tools for genetic improvement

Estimation of missing values for a MET in a RCBD

Description

Function to estimate missing values for a Multi Environment Trial (MET) with a Randomized Complete Block Design (RCBD) by the least squares method.

Usage

mve.met(trait, geno, env, rep, dfr, maxp = 0.1, tol = 1e-06)

Arguments

trait	The name of the column for the trait to estimate missing values.
geno	The name of the column that identifies the genotypes.
env	The name of the column that identifies the environments.
rep	The name of the column that identifies the replications.
dfr	The name of the data frame.
maxp	Maximum allowed proportion of missing values to estimate, default is 10%.
tol	Tolerance for the convergence of the iterative estimation process.

Value

It returns a data frame with the experimental layout and columns trait and trait.est with the original data and the original data plus the estimated values.

Author(s)

Raul Eyzaguirre.

Examples

mve.met("y", "geno", "env", "rep", met8x12)

reyzaguirre/st4gi documentation built on April 20, 2024, 3:53 a.m.