Ramf
Ramf: Statistical Analysis and Visualization of Arbuscular Mycorrhiza Fungi Root Colonization Data
Ramf performs statistical analysis and visualization of quantitative root colonization data for arbuscular mycorrhiza fungi within the R programming environment.
Key Features:
- Statistical Analysis: Implements statistical methods for quantitative root colonization datasets, enabling analysis beyond mean-based bar charts to assess individual data points and distributions.
- Graphical Representation: Generates publication-ready plots tailored to arbuscular mycorrhiza fungi colonization data for transparent visualization of complex datasets.
Scientific Applications:
- Arbuscular Mycorrhiza Research: Quantifies and visualizes root colonization to study symbiotic relationships and ecological impacts; applicable to datasets requiring comparable statistical and graphical analyses.
Methodology:
Integrates statistical analysis and advanced plotting functions in R, automating quantitative data processing and visualization workflows for root colonization studies.
Topics
Details
- Programming Languages:
- R
- Added:
- 1/9/2020
- Last Updated:
- 12/11/2020
Operations
Publications
Chiapello M, Das D, Gutjahr C. Ramf: An Open-Source R Package for Statistical Analysis and Display of Quantitative Root Colonization by Arbuscular Mycorrhiza Fungi. Frontiers in Plant Science. 2019;10. doi:10.3389/fpls.2019.01184. PMID:31611898. PMCID:PMC6777641.