R
R is a free programming language and software environment for statistical computing and graphics. R has a wide variety of statistical linear and non-linear modeling and provides numerous graphical techniques.
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R Weekly
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Support functions for analysis of FAFB EM segmentation
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Spatial Methods In R
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River data from Karup and Skjern å in Denmark
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📈 Estimate effects, contrasts and means based on statistical models
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An automatic weather data collector and 5 days rainfall forecast of Kerala, India
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Software development for "Bayesian nonparametric population inference". In other words, just the direct application of probability theory to get the most general, principled, model-free inference we can have.
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R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)
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An introduction to the R statistical computing programming language
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A statistics software package powered by R
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Cryptocurrency Prices Web-Scraping with GitHub Actions
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R Language course from University. Emphasis on visualization, cleaning and manipulation of data. *ongoing
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A curated list of awesome R packages, frameworks and software. With repository stars⭐ and forks🍴
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A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
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rcityviews is a user-friendly R interface for creating stylized city maps using OpenStreetMap (www.openstreetmap.org) data, implemented as an R package and a Shiny web application.
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WARNING: This is a proof-of-concept idea - it might be removed again
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Created by Ross Ihaka, Robert Gentleman
Released August 1993
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