TraitStats: Statistical Data Analysis for Randomized Block Design Experiments

Functions for analysis of bulk data generated from experiments in Randomized block design as per Panse and Sukhatme (1954) <https://books.google.co.in/books?id=Efo9AAAAYAAJ>. Computes analysis of variance; Descriptive statistics parameter like Mean, Minimum, Maximum, CV, Standard error of mean, Standard Error of deviation, CD; Genetic parameter statistics Genotypic Coefficient of Variation, Phenotypic Coefficient of Variation, Heritability in broad sense, Genetic Advance and Genetic Advance per cent mean; Variance and Co-variance matrix of genotypic, phenotypic and environmental; Correlation of genotypic, phenotypic and environmental. Further includes directly publication ready tables.

Getting started

Package details

AuthorNitesh Shirur Devaraja [aut, cre], Parashuram Patroti [aut], Shilpa Parashuram [aut], Aravind J [ctb] (Reference material of augmentedRCBD), Sunil Kumar [ctb]
MaintainerNitesh Shirur Devaraja <mail@niteshgpb.in>
LicenseGPL-3
Version1.0.2
URL https://www.niteshgpb.in/TraitStats.pdf
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("TraitStats")

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TraitStats documentation built on June 30, 2022, 5:06 p.m.