Enhancing {ggplot2} plots with statistical analysis 📊📣
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Updated
Apr 24, 2024 - R
Enhancing {ggplot2} plots with statistical analysis 📊📣
R package for DNA methylation analysis
Data Science courses in R from HarvardX
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
ChIP-seq/RNA-seq analysis software suite for gene expression heatmaps
Basic statistical modelling examples.
Statisitical analysis with R
sub-package of spatstat containing core functionality for data analysis and modelling
Miscellaneous Esoteric Statistical Scripts - an R package
A R package for Participatory Plant Breeding statisticial analyses
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.
remotePARTS is a set of tools for running Partitioned spatio-temporal auto regression analyses on remotely-sensed data sets.
In this project we attempt to find the association between the probability of heart disease and various demographic or health factors of the patients including age, sex, chest pain type, cholesterol levels etc.
🍎 Web-based User-friendly Workflow for Metabolomics and Proteomics Data Analysis
📦 Tools for Omics Data Analysis
Statistical Models and Methods for Financial Data
This repository contains all machine learning and statistical models used to analyze the landscape of colorectal cancer.
Sparklyr extension making Flint time series library functionalities (https://github.com/twosigma/flint) easily accessible through R
Intro to Statistical Data Analysis using R
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