LorMe 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. LorMe keeps updating and maintanence.
Standard version from CRAN(V1.1.0)
install.packages("LorMe")
Development version from GitHub (V1.1.1) 😝
if (!require(remotes)) install.packages("remotes")
remotes::install_github("wangnq111/LorMe")
LorMe will only update the major and minor versions on CRAN, but will update each patch version on GitHub. The following are the update logs that differ from the CRAN version:
16/12/2024 LorMe in github updated to version 1.1.1: Hot fix: Fixed the incorrect error message expression in 'object_config'; Resolved a bug in 'network_withdiff' where the display order of modules was inconsistent;Fixed a bug where the evenness and Simpson index were incorrectly labeled during alpha diversity calculations. 23/12/2024 Hot fix in version 1.1.1: Fixed the bug where Alpha_diversity_calculator did not recognize the treatment order and facet configuration Fixed the bug where Module_abundance did not recognize the treatment order
Chinese illustration available at 🏮 LorMe中文版说明书 🏮
Support three styles: ellipse (as in the below),stick and polygon
Support three styles: Bar plot (as in the below), Area plot and alluvial plot
Support Fold change-FDR plot and Mean-Fold change plot
Support both classical style and circular style
Painted top five largest modules
Painted differential taxon
