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Phenotype
View on CRAN: Click
here
Download and install Phenotype package within the R console
Install from CRAN:
install.packages("Phenotype")
Install from Github:
library("remotes")
install_github("cran/Phenotype")
Install by package version:
library("remotes")
install_version("Phenotype", "0.1.0")
Attach the package and use:
library("Phenotype")
Maintained by
Peng Zhao
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-06
Latest Update: 2020-08-06
Description:
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) .
How to cite:
Peng Zhao (2020). Phenotype: A Tool for Phenotypic Data Processing. R package version 0.1.0, https://cran.r-project.org/web/packages/Phenotype. Accessed 18 Feb. 2025.
Previous versions and publish date:
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Other R packages that Phenotype depends,
imports, suggests or enhances
Complete documentation for Phenotype
Functions, R codes and Examples using
the Phenotype R package
Some associated functions: blup . histplot . outlier . stat . wheatds .
Some associated R codes: blup.R . data.R . histplot.R . outlier.R . stat.R . Full Phenotype package functions and examples
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