mve.rcbd: Estimation of missing values for a RCBD

View source: R/mve_rcbd.R

mve.rcbdR Documentation

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(trait, geno, rep, dfr, maxp = 0.1, tol = 1e-06)

Arguments

trait

The trait to estimate missing values.

geno

The genotypes.

rep

The replications.

dfr

The name of the data frame.

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 trait and trait.est with the original data and the original data plus the estimated values.

Author(s)

Raul Eyzaguirre.

Examples

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

reyzaguirre/st4gi documentation built on March 14, 2024, 9:26 p.m.