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Provides functions to enhance the available statistical analysis procedures in R by providing simple functions to analysis and visualize the 16S rRNA data.Here we present a tutorial with minimum working examples to demonstrate usage and dependencies.
| Version: | 0.0.20 |
| Depends: | R (≥ 3.5.0) |
| Imports: | dplyr, plyr, magrittr, broom, phyloseq, vegan, rlang, ggplot2, ggpubr, DESeq2, SummarizedExperiment, S4Vectors, rstatix, tidyr, phangorn, randomForest, edgeR, testthat |
| Suggests: | markdown, dada2, rmarkdown, knitr, tools, Biostrings, DECIPHER, MASS |
| Published: | 2021-11-01 |
| Author: | Kai Guo [aut, cre], Pan Gao [aut] |
| Maintainer: | Kai Guo <guokai8 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | microbial results |
| Reference manual: | microbial.pdf |
| Vignettes: |
microbial |
| Package source: | microbial_0.0.20.tar.gz |
| Windows binaries: | r-devel: microbial_0.0.20.zip, r-release: microbial_0.0.20.zip, r-oldrel: microbial_0.0.20.zip |
| macOS binaries: | r-release (arm64): microbial_0.0.20.tgz, r-oldrel (arm64): not available, r-release (x86_64): microbial_0.0.20.tgz, r-oldrel (x86_64): not available |
| Old sources: | microbial archive |
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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.
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