Data & ReproStatistics & Data AnalysisFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction

bio-reporting-rmarkdown-reports

Maintainer FreedomIntelligence · Last updated April 1, 2026

Render Rmarkdown reports with integrated plots and statistics.

OpenClawNanoClawAnalysisReproductionbio-reporting-rmarkdown-reports🧠 bioos extended suitebioos extended bioinformatics suiterender

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-reporting-rmarkdown-reports

Maintainer: FreedomIntelligence
License: MIT
Last updated: April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

rmarkdown::render('report.Rmd', params = list(sample_id = 'sample2', fdr_threshold = 0.01)).
samples <- c('sample1', 'sample2', 'sample3') for (s in samples) { rmarkdown::render('report.Rmd', params = list(sample_id = s), output_file = paste0(s, '_report.html')) }.

Source Doc

Excerpt From SKILL.md

Setup Chunk

{r setup, include=FALSE} knitr::opts_chunk$set( echo = TRUE, message = FALSE, warning = FALSE, fig.width = 10, fig.height = 6, fig.align = 'center' ) library(tidyverse) library(DESeq2) library(pheatmap) `

Code Chunk Options

{r analysis, echo=TRUE, results='hide'}

Parameterized Reports

{r} counts <- read.csv(params$count_file) sample <- params$sample_id fdr <- params$fdr_threshold `

Use cases

Use bio-reporting-rmarkdown-reports for statistical testing and quantitative analysis.
Apply bio-reporting-rmarkdown-reports to research datasets that require rigorous inference.