High Throughput Phenotyping (HTP) Data Analysis

Phenotypic analysis of data coming from high throughput phenotyping (HTP) platforms, including different types of outlier detection, spatial analysis, and parameter estimation. The package is being developed within the EPPN2020 project (< https://cordis.europa.eu/project/id/731013>). Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (< https://vsni.co.uk/software/asreml-r/>).


statgenHTP

CRAN RStudio mirrordownloads R-CMD-check codecov

statgenHTP is developed as an easy-to-use package for analyzing data coming from high throughput phenotyping (HTP) platform experiments. The package provides many options for plotting and exporting the results of the analyses. It was developed within the EPPN2020 project to meet the needs for automated analyses of HTP data.

Installation

  • Install from CRAN:
install.packages("statgenHTP")
  • Install latest development version from GitHub (requires remotes package):
remotes::install_github("Biometris/statgenHTP", ref = "develop", dependencies = TRUE)

Reference manual

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install.packages("statgenHTP")

1.0.9.5 by Bart-Jan van Rossum, 13 days ago


https://biometris.github.io/statgenHTP/index.html, https://github.com/Biometris/statgenHTP/


Report a bug at https://github.com/Biometris/statgenHTP/issues


Browse source code at https://github.com/cran/statgenHTP


Authors: Emilie J Millet [aut] , Maria Xose Rodriguez Alvarez [aut] (ORCID: , Diana Marcela Perez Valencia [aut] (ORCID: , Isabelle Sanchez [aut] , Nadine Hilgert [aut] , Bart-Jan van Rossum [aut, cre] (ORCID: , Fred van Eeuwijk [aut] , Martin Boer [aut]


Documentation:   PDF Manual  


GPL license


Imports animation, ggforce, ggplot2, ggnewscale, grid, gridExtra, Matrix, methods, LMMsolver, locfit, lubridate, rlang, scales, spam, SpATS

Suggests asreml, knitr, rmarkdown, tinytest


See at CRAN