January 13, 2020 to January 16, 2020
Registration occurs on a first-come, first-served basis. The deadline for registration is one week before the first day of the course. If you are unable to register before the deadline, please email: training@faes.org or call 301-496-7977 for space availability.
NIH Fellows or NIH community members being sponsored by their lab can enroll tentatively, using the Contract: SF-182 option on the workshop’s registration site while waiting for authorization of payment. Enrollment is not guaranteed until payment is received.
Workshops generally run from 9:00am - 5:00pm.
Background
R is the industry standard for creating scientific graphs and plots. There are several different R packages available for creating impressive plots, graphs and maps including plotly, ggplot2, ggvis, diagrammer - for diagrams, dygraphs - for time series data, leaflet - for plotting maps, graphviz - for graphs. This training will walk through participants in creating awesome, interactive, static, shareable plots using popular R packages.
Objectives
Participants will get a brief hands-on introduction to the R platform, followed by hands-on walkthrough for creating several different popular plots, graphs and maps like scatter plots, density plots, correlation plots, pca plots, surface plots, dot plots, star plots, circular plots, trees, heatmaps, panel graphs, 3D graphs, network graphs. We will start from formatting data and go all the way to loading data, setting parameters, creating the images and saving the outputs.
Highlights
Participants will work with RStudio. A copy of all the scripts used in the class to create plots, graphs and maps will be provided to the participants at the end of the training. Participants will also receive a cookbook style manual for all the hands-on exercises.
Who should attend
- Researchers and academics who are aspiring to learn to create scientific plots, graphs and maps using R.
- Clinicians and biomedical students interested in learning the ways and means to visualize their data using R.
- Scientists in program administration interested in learning the standard tools and techniques used for R based data visualization.
Prerequisites
Participants should be comfortable with basic computer skills.
General Training Rate
$1,195.00
Discounted Training Rates
$695.00 - NIH Trainees (fellows, postdocs, postbacs, working or appointed to any NIH Campus)
$895.00 - NIH Community(working or appointed to any NIH Campus)
$995.00 - Academia, US Military or US Government
Credit
Although no grades are given for courses, each participant will receive Continuing Education Units (CEUs) based on the number of contact hours. One CEU is equal to ten contact hours. Upon completion of the course each participant will receive a certificate, showing completion of the workshop and 2.1 CEUs.
Refund Policy
100% tuition refund for registrations cancelled 14 or more calendar days prior to the start of the workshop.
50% tuition refund for registrations cancelled between 4 to 13 calendar days prior to the start of the workshop.
No refund will be issued for registrations cancelled 3 calendar days or less prior to the start of the workshop.
Notification
All cancellations must be received in writing via email to Ms. Carline Coote at registration@faes.org.
Cancellations received after 4:00 pm (ET) on business days or received on non-business days are time marked for the following business day.
All refund payments will be processed by the start of the initial workshop.
Suggested Lodging Accommodations
A special rate is available to all workshop attendees. This includes complimentary buffet breakfast, guest room Wi-Fi, and discounted $15 parking per night. The hotel provides complimentary shuttle service to/from the NIH campus. The hotel is also within walking distance of the training facility. Reservations can be made online, see below.