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Provides a robust collection of functions tailored for microbial ecology analysis, encompassing both data analysis and visualization. It introduces an encapsulation feature that streamlines the process into a summary object. With the initial configuration of this summary object, users can execute a wide range of analyses with a single line of code, requiring only two essential parameters for setup. The package delivers comprehensive outputs including analysis objects, statistical outcomes, and visualization-ready data, enhancing the efficiency of research workflows. Designed with user-friendliness in mind, it caters to both novices and seasoned researchers, offering an intuitive interface coupled with adaptable customization options to meet diverse analytical needs.
Version: | 1.0.0 |
Depends: | R (≥ 3.5.0) |
Imports: | ape, ggalluvial, ggplot2, ggpubr, grDevices, magrittr, RColorBrewer, scales, stringr, tidyr, vegan, dplyr, igraph, Hmisc, fdrtool, agricolae, multcompView, DescTools, HH, coin |
Suggests: | testthat (≥ 3.0.0), ggrepel, readr, patchwork, grid, permute, indicspecies, S4Vectors, tibble, DESeq2 |
Published: | 2024-08-29 |
DOI: | 10.32614/CRAN.package.LorMe |
Author: | Ningqi Wang [aut, cre, cph], Yaozhong Zhang [aut], Geofei Jiang [aut] |
Maintainer: | Ningqi Wang <2434066068 at qq.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | LorMe results |
Reference manual: | LorMe.pdf |
Package source: | LorMe_1.0.0.tar.gz |
Windows binaries: | r-devel: LorMe_1.0.0.zip, r-release: LorMe_1.0.0.zip, r-oldrel: LorMe_1.0.0.zip |
macOS binaries: | r-release (arm64): LorMe_1.0.0.tgz, r-oldrel (arm64): LorMe_1.0.0.tgz, r-release (x86_64): LorMe_1.0.0.tgz, r-oldrel (x86_64): LorMe_1.0.0.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.