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Changelog

Source: NEWS.md

biogrowleR 0.3.2

  • Add instructions on how to visualize the confidence intervals for the frequentist approach in the analysis workflow

  • Add new section for sensitivity analysis

biogrowleR 0.3.1

  • New tutorial: we added a new tutorial on how to analyse high-throughput drug screening data

biogrowleR 0.3.0

New features

  • Randomization now accepts a new argument, block_factor. Use this argument to specify any blocking factor, such as cage, when doing the randomization to ensure that there will be all conditions in each cage.

biogrowleR 0.2.0

New features

  • Randomization strategy for longitudinal measurements where one wants to split the samples in nn groups, where nn can be the number of treatments or any condition of interest

  • Check the new vignette explaining how to use the function get_best_splitting that randomizes the data.