CSSCR Winter 2017, Number I
From the Director
Welcome to 2017! This Winter, CSSCR will have short course series. The first series is focused on introductory skills in statistical languages for students taking courses using these languages. They will be held during the first two weeks of the quarter. These short courses are described in this newsletter and are now open to registration.
A second series of courses will be scheduled for mid-quarter, and will include both introductory and more specialized topics. These will be described in the next newsletter.
If you will be teaching in one of the CSSCR labs during the Spring quarter, now is the time to make your reservations. Our lab reservations can be viewed on the web here. Give us a call (206-543-8110) or drop us an email at csscr@u.washington.edu
Please share this newsletter with your colleagues and students. Individuals can subscribe here. Our newsletter archive can be found here.
Introduction to R with R Studio
Description:
This class will teach you how to get started with R using the
free integrated development environment called Rstudio. The course will cover the basic
organization of R and Rstudio, where to find good help
references, and how to begin a basic analysis. This class is
ideal for users who have little or no experience with R.
Instructor: Stephanie Lee, CSSCR Consultant
Date: Friday, 6 Jan 2017
Time: 9:30am - 10:20am
Place: Savery 121
Register here.
Introduction to R with R Studio
Description:
This class will teach you how to get started with R using the
free integrated development environment called Rstudio. The course will cover the basic
organization of R and Rstudio, where to find good help
references, and how to begin a basic analysis. This class is
ideal for users who have little or no experience with R.
Instructor: Gabby Gorsky, CSSCR Consultant
Date: Friday, 6 Jan 2017
Time: 3:30pm - 4:20pm
Place: Savery 121
Register here.
Introduction to R with R Studio
Description:
This class will teach you how to get started with R using the
free integrated development environment called Rstudio. The course will cover the basic
organization of R and Rstudio, where to find good help
references, and how to begin a basic analysis. This class is
ideal for users who have little or no experience with R.
Instructor: Yunkang Yang, CSSCR Consultant
Date: Monday, 9 Jan 2017
Time: 10:30am - 11:20am
Place: Savery 121
Register here.
Introduction to Stata
Description:
Learn the basics of Stata so that you can understand do/log files, reading help files, and how to write code in order to perform data cleaning and statistical analysis. No experience in statistical programming necessary.
Instructor: Laine Rutledge, CSSCR Consultant
Date: Tuesday, 10 Jan 2017
Time: 1:30pm - 2:20pm
Place: Savery 117
Register here.
Introduction to R with R Studio
Description:
This class will teach you how to get started with R using the
free integrated development environment called Rstudio. The course will cover the basic
organization of R and Rstudio, where to find good help
references, and how to begin a basic analysis. This class is
ideal for users who have little or no experience with R.
Instructor: Nathan Abe, CSSCR Consultant
Date: Tuesday, 10 Jan 2017
Time: 5:00pm - 6:00pm
Place: Savery 121
Register here.
Introduction to SPSS
Description:
This class introduces SPSS basic structure and layout. We will go over how to import, manage, and record data as well
as do some descriptive statistics and simple analyses like t-test, correlation, and regression.
Instructor: Tina Tian, CSSCR Staff
Date: Wednesday, Jan 11, 2017
Time: 10:30am - 11:20am
Place: Savery 121
Register here.
Introduction to R Base Graphics
Description:
This class will introduce students to ways of producing effective graphs in R. Topics covered will include basic plotting functions (histograms, scatter plots, etc.), production of multi-panel graphs, and various means for exporting graphs for use outside of R.
Instructor: Will Brown, CSSCR Consultant
Date: Wednesday, 11 Jan 2017
Time: 3:30pm - 4:20pm
Place: Savery 121
Register here.
R Graphics Using ggplot2
Description:
This class is an introduction to the popular graphics package ggplot2. We will discuss the structure of the ggplot2,
including the basic elements of the underlying grammar and how plots can be built-up in a layered fashion. We will
then use ggplot2 to produce number of different plots, such as line graphs, histograms, and boxplots. Attendees will
be assumed to have basic familiarity with R.
Instructor: Colin Beam, CSSCR Consultant
Date: Thursday, 12 Jan 2017
Time: 4:00pm - 5:00pm
Place: Savery 121
Register here.
Introduction to SAS
Description:
This introductory class will cover basic features and some data cleaning and recoding of variables in SAS. The topics include: an overview of the SAS system; how to read/enter data, modify, explore and manage data; and some basic data recoding and variable creation.
Instructor: Nikki Gurley, CSSCR Consultant
Date: Friday, Jan 13, 2017
Time: 12:30pm - 1:20pm
Place: Savery 121
Register here.
To register for the above classes, follow this link.
The Center for Social Science Computation and Research (CSSCR)
is an interdepartmental computer center in the College of Arts and
Sciences at the University of Washington. CSSCR provides facilities and
consulting support for computing activity related to teaching and
research at the University.
Hours of Operation
Winter Quarter
Consulting and Computers: Monday to Thursday: 8:00am to 9:00pm, Friday: 8:00am to 5:00pm
Office: Monday to Friday: 8:00am to 12:00pm, 1:00pm to 5:00pm
We are closed weekends and for university holidays
Contact Us
If
you would like to request academic accommodations due to a disability,
please contact Disabled Student Services, 448 Schmitz, 543-8924 (V/TDD).
If you have a letter from Disabled Student Services indicating you have
a disability that requires academic accommodations, please present the
letter to Darryl Holman at CSSCR so we may discuss the accommodations
you might need for class.