R Class for Seismologists

Key Info
URL - the landing page for the learning resource: 
http://mazamascience.com/Classes/IRIS_2015////
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

The IRIS Data Management Center (DMC) archives and distributes data to support the seismological research community. The class described here introduces DMC and other seismologists to the R statistical programming language and its use with seismological data available from DMC web services. The capabilities of the seismicRoll, IRISSeismic and IRISMustangMetrics packages developed as part of the MUSTANG project will be demonstrated.
Class materials are broken up into nine separate lessons that assume some experience coding but not necessarily any familiarity with R. Lessons are presented in sequential order and assume the student already has R and RStudio installed on their computer. Autodidacts new to R should take about 20-30 hrs to complete the course. The target audience for these materials consists of IRIS DMC employees or graduate students with a degree in the natural sciences and some experience using scientific software such as MATLAB or Python.

Authoring Organization(s) Name: 
Mazama Science
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Cyberinfrastructure to enable FAIR data principles
Data analysis
Earthquake data
R software
User guides for Earth science data
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Physical Sciences and Mathematics: Earth Sciences
Published / Broadcast: 
Thursday, August 20, 2015
Publisher - organization credited with publishing or broadcasting the learning resource: 
Mazama Science
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Text - an explanation of a concept or a story using human readable characters formed into words, usually distinguished from graphical images.
Contributor Organization(s): 
Name: 
Incorporated Research Institutions for Seismology (IRIS)
Type: 
Endorser
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.
Target Audience - intended audience for which the learning resource was created: 
Research scientist
Software engineer
Mid-career research scientist
Early-career research scientist
Research faculty
Graduate student
Undergraduate student
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 Day (but less than 1 week)
Framework - A community-based organization plan or set of steps for education or training: 
FAIR Data Principles