R Novice Gapminder

R for Reproducible Scientific Analysis
Alternatives To R Novice Gapminder
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
2 years ago5otherJulia
Curated decibans of scientific programming resources in Python.
R Novice Gapminder153
12 days ago25otherR
R for Reproducible Scientific Analysis
R Novice Inflammation147
a month ago49otherR
Programming with R
Scid79243 years ago6April 30, 20208bsl-1.0D
Scientific library for the D programming language
Introduction To Programming For Geoscientists41
4 years agootherJupyter Notebook
Introduction to programming for geoscientists. Designed for 1st year undergraduates. Based on the book "A Primer on Scientific Programming with Python" by Hans Petter Langtangen.
6 years agomitPython
Solutions to exercises in 'A Primer on Scientific Programming with Python' by Hans Petter Langtangen
a month ago1HTML
slides for the programming course of the physics department of the university of Bologna
20 days ago9cc-by-4.0Jupyter Notebook
Lectures notes of the scientific programming course at the University of Innsbruck
Lovelace Website23
2 years ago41mitHTML
📜 Back end and front end code for the Project Lovelace website.
a year ago1
A list of openly available resources for learning and using the Python programming language.
Alternatives To R Novice Gapminder
Select To Compare

Alternative Project Comparisons

Create a Slack Account with us Build and Deploy Website Slack Status Binder DOI

R for Reproducible Scientific Analysis

An introduction to R for non-programmers using the Gapminder data. Please see https://swcarpentry.github.io/r-novice-gapminder for a rendered version of this material, the lesson template documentation for instructions on formatting, building, and submitting material, or run make in this directory for a list of helpful commands.

The goal of this lesson is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. We find that many scientists who come to Software Carpentry workshops use R and want to learn more. The emphasis of these materials is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.

Note that this workshop focuses on the fundamentals of the programming language R, and not on statistical analysis.

The lesson contains more material than can be taught in a day. The [instructor notes page]({{ page.root }}/guide) has some suggested lesson plans suitable for a one or half day workshop.

A variety of third party packages are used throughout this workshop. These are not necessarily the best, nor are they comprehensive, but they are packages we find useful, and have been chosen primarily for their usability.

Current Maintainers:

Previous Maintainers:

Popular Scientific Projects
Popular Programming Projects
Popular Science Categories
Related Searches

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Data Visualization
Statistical Analysis