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]

Phenotype_0.1.0.tar.gz
Phenotype_0.1.0.zip(r-4.7-any)Phenotype_0.1.0.zip(r-4.6-any)Phenotype_0.1.0.zip(r-4.5-any)
Phenotype_0.1.0.tgz(r-4.6-any)Phenotype_0.1.0.tgz(r-4.5-any)
Phenotype_0.1.0.tar.gz(r-4.7-any)Phenotype_0.1.0.tar.gz(r-4.6-any)
Phenotype_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Phenotype/json (API)

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

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:

Conda:

4.18 score 3 stars 242 downloads 27 mentions 4 exports 33 dependencies

Last updated from:21482be2fb. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK126
source / vignettesOK147
linux-releaseOK112
macos-releaseOK163
macos-oldrelOK167
windows-develOK108
windows-releaseOK103
windows-oldrelOK83
wasm-releaseOK82

Exports:bluphistplotoutlierstat

Dependencies:bootclicpp11dplyrgenericsgluelatticelifecyclelme4magrittrMASSMatrixminqanlmenloptrpillarpkgconfigpurrrR6rbibutilsRcppRcppEigenRdpackreformulasrlangstringistringrtibbletidyrtidyselectutf8vctrswithr