Published December 16, 2020
| Version v1.0.0
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faulknerfalcons/Johnston-2020-Bootstrap: Scripts and data for Johnston and Faulkner 'A bootstrap approach is a superior statistical method for the comparison of non-normal data with differing variances.'
Description
A bootstrap approach is a superior statistical method for the comparison of non-normal data with differing variances. Johnston and Faulkner, New Phytologist (2020) doi: 10.1111/nph.17159
Scripts for using our proposed bootstrap method:
- medianBootstrap.R contains functions to replace wilcox.test() with medianBootstrap()
- medianBootstrapToolbox.R contains an extended set of functions, allowing for the plotting of the null distribution, replacement of one-way ANOVAs, and a meanBootstrap().
A primer on how to use the medianBootstrap script is provided as a webpage (medianBootstrap.html) and R markdown (medianBootstrap.Rmd).
All the scripts and data used within the manuscript and figures used under a CC BY 4.0 licence.
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faulknerfalcons/Johnston-2020-Bootstrap-v1.0.0.zip
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Additional details
Related works
- Is supplement to
- https://github.com/faulknerfalcons/Johnston-2020-Bootstrap/tree/v1.0.0 (URL)
- Journal article: 10.1111/nph.17159)QS (DOI)
Funding
- Plasmodesmata: genetic control of cell-to-cell communication during plant defence BB/L000466/1
- UK Research and Innovation
- Response BBS/E/J/000PR9796
- UK Research and Innovation
- INTERCELLAR – The role of the symplast in host-pathogen interactions – how does the symplastic, intercellular exchange of molecules regulate the outcomes of defence and infection? 725459
- European Commission