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  • Created 01 Jun 2017

"Computing Tools (R)" 12 posts Sort by created date Sort by defined ordering View as a grid View as a list

Intro to Data Science in R

Basic data scraping and cleaning, and machine learning modeling in R.

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Colin Reimer Dawson onto Computing Tools (R)

Chapter on fitting various linear and nonlinear regression models using R

Assumes basic familiarity with regression modeling and quickly goes through a bunch of different types of models with sample R code to fit them on some sample datasets.

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Colin Reimer Dawson onto Computing Tools (R)

Solving DEs in R (ODE, PDE, DAE, BVP)

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Erica Graham onto Computing Tools (R)

Module for Solve ODEs in R

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Erica Graham onto Computing Tools (R)

Requests for New Modules

Place a comment in order to request new modules.

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Benjamin R Morin onto Computing Tools (R)

A guide to the R package manager

How to extend the functionality of R by installing and loading "packages"

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Colin Reimer Dawson onto Computing Tools (R)

Common R Commands ("Cheat Sheet") --- based on `mosaic` package

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Colin Reimer Dawson onto Computing Tools (R)

The R Graphics Cookbook

"Recipes" for data visualization in R using the ggplot2 package

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Colin Reimer Dawson onto Computing Tools (R)

A Student's Guide to R (Simplified R for Data Analysis via Project MOSAIC)

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Colin Reimer Dawson onto Computing Tools (R)

Crash Course in Basic Stats via R (DataCamp)

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Colin Reimer Dawson onto Computing Tools (R)

Machine Learning Basics in R

Introduction to basic machine learning ideas through a guided R-based tutorial (via DataCamp).

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Colin Reimer Dawson onto Computing Tools (R)

Swirl interactive tutorial to learn R programming

Instructions to download and install R and RStudio, and run an interactive tutorial within the R console.

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Colin Reimer Dawson onto Computing Tools (R)