Enhancing {ggplot2} plots with statistical analysis 📊📣
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Updated
Dec 15, 2025 - R
Enhancing {ggplot2} plots with statistical analysis 📊📣
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
R package for DNA methylation analysis
Data Science courses in R from HarvardX
Basic statistical modelling examples.
deepStats: a stastitical toolbox for deeptools and genomic signals
Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying complex exposures" (Hoffman et al., 2023)
remotePARTS is a set of tools for running Partitioned spatio-temporal auto regression analyses on remotely-sensed data sets.
ChIP-seq/RNA-seq analysis software suite for gene expression heatmaps
Customers using R can run simulation and machine learning securely and at scale with Amazon SageMaker while also reducing the cost of development by using the fully elastic resources in the cloud. In this demo, learn how to build, train, and deploy statistical and ML models in R at scale using Amazon SageMaker from your IDE.
🍎 Web-based User-friendly Workflow for Metabolomics and Proteomics Data Analysis
📦 Omics Data Analysis Tools
NCA-SEM module for Jamovi. Necessary Condition Analysis via Structural Equation Modeling (NCA-SEM) is a data analysis method that is used to identify the necessary conditions for a desired outcome
Cosmic Insights: Statistical Frameworks for Astronomers in R
📈 Evaluation of the Predictive value of short-term Oliguria and minor Creatinine increases for Acute Kidney Injury in ICU
Statistical Analysis on Body Performance | Basic analysis on different factors and classes
An R package providing a GUI ('shiny' app) for the R package 'brms'.
A R package for Participatory Plant Breeding statisticial analyses
Analyze NASDAQ100 stock data. Used ARIMA + GARCH model and machine learning techniques Naive Bayes and Decision tree to determine if we go long or short for a given stock on a particular day
Sparklyr extension making Flint time series library functionalities (https://github.com/twosigma/flint) easily accessible through R
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