Package: Phenotype 0.1.0

Phenotype: A Tool for Phenotypic Data Processing

Large-scale phenotypic data processing is essential in research. Researchers need to eliminate outliers from the data in order to obtain true and reliable results. Best linear unbiased prediction (BLUP) is a standard method for estimating random effects of a mixed model. This method can be used to process phenotypic data under different conditions and is widely used in animal and plant breeding. The 'Phenotype' can remove outliers from phenotypic data and performs the best linear unbiased prediction (BLUP), help researchers quickly complete phenotypic data analysis. H.P.Piepho. (2008) <doi:10.1007/s10681-007-9449-8>.

Authors:Peng Zhao [aut, cre]

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Phenotype.pdf |Phenotype.html
Phenotype/json (API)

# Install 'Phenotype' in R:
install.packages('Phenotype', repos = c('https://biozhp.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/biozhp/phenotype/issues

Datasets:
  • wheatds - Stripe rust disease severity (leaf areas infected, DS) of the wheat RIL population

On CRAN:

4 exports 3.77 score 31 dependencies 27 mentions 206 downloads

Last updated 4 years agofrom:21482be2fb. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winOKAug 23 2024
R-4.5-linuxOKAug 23 2024
R-4.4-winOKAug 23 2024
R-4.4-macOKAug 23 2024
R-4.3-winOKAug 23 2024
R-4.3-macOKAug 23 2024

Exports:bluphistplotoutlierstat

Dependencies:bootclicpp11dplyrfansigenericsgluelatticelifecyclelme4magrittrMASSMatrixminqanlmenloptrpillarpkgconfigpurrrR6RcppRcppEigenrlangstringistringrtibbletidyrtidyselectutf8vctrswithr