mve.rcbd: Estimation of missing values for a RCBD

In reyzaguirre/st4gi: Statistical tools for genetic improvement

Estimation of missing values for a RCBD

Description

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

Usage

mve.rcbd(dfr, y, geno, rep, maxp = 0.1, tol = 1e-06)

Arguments

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

Value

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

Author(s)

Raul Eyzaguirre.

Examples

tmp <- met8x12[met8x12$env == "TM80N", ]
mve.rcbd(tmp, "y", "geno", "rep")

reyzaguirre/st4gi documentation built on March 29, 2025, 10:38 p.m.