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Performs analysis of popular experimental designs used in the field of biological research. The designs covered are completely randomized design, randomized complete block design, factorial completely randomized design, factorial randomized complete block design, split plot design, strip plot design and latin square design. The analysis include analysis of variance, coefficient of determination, normality test of residuals, standard error of mean, standard error of difference and multiple comparison test of means. The package has functions for transformation of data and yield data conversion. Some datasets are also added in order to facilitate examples.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | agricolae (≥ 1.3.3), stats (≥ 4.0.2) |
| Published: | 2020-07-08 |
| DOI: | 10.32614/CRAN.package.doebioresearch |
| Author: | Raj Popat [aut, cre], Kanthesh Banakara [aut] |
| Maintainer: | Raj Popat <popatrajc at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | doebioresearch results |
| Reference manual: | doebioresearch.pdf |
| Package source: | doebioresearch_0.1.0.tar.gz |
| Windows binaries: | r-devel: doebioresearch_0.1.0.zip, r-release: doebioresearch_0.1.0.zip, r-oldrel: doebioresearch_0.1.0.zip |
| macOS binaries: | r-release (arm64): doebioresearch_0.1.0.tgz, r-oldrel (arm64): doebioresearch_0.1.0.tgz, r-release (x86_64): doebioresearch_0.1.0.tgz, r-oldrel (x86_64): doebioresearch_0.1.0.tgz |
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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.