geno: Genotype-environment data set with missing values

In missMDA: Handling Missing Values with Multivariate Data Analysis

Genotype-environment data set with missing values

Description

A data-frame with 16 rows corresponding to genotypes (triticale lines) and 10 columns corresponding to different environments where the genotypes were sown. Each cell of the data-frame corresponds to the grain yield (kilograms per hectare) for one genotype in an environment. The first six genotypes correspond to the so-called “complete” type, while the next eight were of the “substituted” type and two check genotypes were included. Such data sets are often incomplete. Indeed, it frequently happens that all the varieties are not assessed on all the environments.

Format

A data-frame with 16 rows and 10 columns

Source

Royo C, Rodriguez A, Romagosa I (1993). Differential adaptation of complete and substitute triticale. Plant Breeding, 111, 113- 119.

Examples

## Not run: 
data(geno)
ncomp <- estim_ncpPCA(geno)
res.imp <- imputePCA(geno, ncp= ncomp$ncp)
res.pca <- PCA(res.imp$completeObs)

## End(Not run)

missMDA documentation built on Nov. 17, 2023, 5:07 p.m.