nestDesignsDetectedByTraits: Set-up for a by-trait analysis downstream

In wolfemd/genomicMateSelectR: Genomic Mate Selection

Set-up for a by-trait analysis downstream

Description

Need to restructure the data from per-trial by regrouping by trait.

Usage

nestDesignsDetectedByTraits(indata, traits)

Arguments

indata	data.frame with experimental designs detected, output from detectExptDesigns
traits	character vec, names of traits to include

Details

NOTICE: This function is part of a family of functions ("cassavabase_pheno_pipeline") developed as part of the NextGen Cassava Breeding Project genomic selection pipeline. For some examples of their useage:

• IITA_2021GS (should be first use of this package)

• NRCRI_2021GS

• TARI_2020GS

• IITA_2020GS

See Also

Other cassavabase_pheno_pipeline: calcPropMissing(), curateTrialOneTrait(), curateTrialsByTrait(), detectExptDesigns(), fitMultiTrialModel(), makeTrialTypeVar(), nestByTrials(), nestForMultiTrialAnalysis(), nestTrialsByTrait(), readDBdata(), renameAndSelectCols()

wolfemd/genomicMateSelectR documentation built on July 1, 2022, 10:42 p.m.