Projects with this topic
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Cyber Operations Project of CyberFlare CloudForce
dataset openml datagit tabular parquet CSV Python JavaScript Java Docker HTML CSS Linux React PHP C++ TypeScript game Android Rust Go C Ansible API Bash python3 C# nodejs website web golang hacktoberfest Django bot Terraform dotfiles Kubernetes Angular MySQL cli Kotlin Node.js Laravel library Git Amazon Web S... PostgreSQL Windows Unity minecraft Flutter machine lear... plugin JSON WordPress Archived shishifubing js Ruby shell devops MongoDB template bootstrap security discord AI html5 automation Qt arduino Spring blog documentation Program Vue.js LaTeX theme gui REST API Express app legend vue ci node Markdown server docker-compose flask spring boot Lua debian in preparation iOS hugo vim CSS3 R GitLabUpdatedUpdated -
Ansible collection for Data Science related tools
https://galaxy.ansible.com/ui/repo/published/devxy/data_science_core/
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EcoCommons R package for running complete species distribution modelling workflows. Utilised by the https://www.ecocommons.org.au/ platform.
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Ansible collection for Posit applications
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An R package to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with antibiotic data by using evidence-based methods.
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Functions to create d3 treemaps in R
Documentation: https://lajh87.gitlab.io/d3tm
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Materials and resources for the teaching unit "Morphometrics with R" (University of Bordeaux, Summer School, 2024). Website.
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Practical Introduction to Data Science - A Data Science task using R on two datasets (Historic weather/climate and Self-reported happiness statistics UK)
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Draft for a medium online course (moc) on using R for data analysis in the psychological sciences and related fields
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R package to create an interaction matrix from DPSIR variables, and to create a survey on KoboToolbox to ask for how variables affect each other.
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Custom functions and GUI front end for acquiring, exploring, and analyzing the nClimGrid-Daily dataset.
Try the Shiny App
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Fit parametric models for time-to-event data that show an initial 'incubation period', i.e., a variable phase where the hazard is zero. The delayed Weibull distribution serves as the foundational data model. The specific method of MPSE (maximum product of spacings estimation) or different variants of MLE (maximum likelihood estimation) are implemented for parameter estimation. Bootstrap confidence intervals for parameters and significance tests in a two group setting are provided as well.
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An R library that provides some user-friendly functions to get data from the SolarEdge REST API.
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An R-shiny application for cranial sex estimation, following Boucherie (2023).
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