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Phenotype

Remove Outliers from Phenotypic Data and Performs the Best Linear Unbiased Prediction

Installation

devtools::install_github("biozhp/Phenotype")

Usage

Remove outliers from phenotypic data

data("wheatph")
inlier <- outlier(x = wheatph, col = 5, fold = 1.5)

Calculate statistical indicators of phenotypic data

data("wheatph")
inlier <- outlier(x = wheatph, col = 5, fold = 1.5)
stat_out <- stat(x = inlier, col = 2)

Histogram drawing

data("wheatph")
inlier <- outlier(x = wheatph, col = 5, fold = 1.5)
stat_out <- stat(x = inlier, col = 2)
histplot(x = stat_out$mean)

Performs the Best Linear Unbiased Prediction (BLUP)

data("wheatph")
blup_out <- blup(x = wheatph, fold = 1.5)

Contact

For any bugs/issues/suggestions, please send emails to: Peng Zhao pengzhao@nwafu.edu.cn.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.