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:

3.70 score 183 downloads 27 mentions 4 exports 31 dependencies

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

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-winOKNov 21 2024
R-4.5-linuxOKNov 21 2024
R-4.4-winOKNov 21 2024
R-4.4-macOKNov 21 2024
R-4.3-winOKNov 21 2024
R-4.3-macOKNov 21 2024

Exports:bluphistplotoutlierstat

Dependencies:bootclicpp11dplyrfansigenericsgluelatticelifecyclelme4magrittrMASSMatrixminqanlmenloptrpillarpkgconfigpurrrR6RcppRcppEigenrlangstringistringrtibbletidyrtidyselectutf8vctrswithr