News & Events
Recent stories published by Colorado State University’s official news outlet, Source.
Don’t forget to pick up this year’s RamsRead book: The Color of Food: Stories of Race, Resilience and Farming by Natasha Bowens.
Colorado State University President Joyce McConnell launched the all-CSU RamsRead initiative last year with the intent to bring all members of the CSU community together – literally on the same page – for common conversation about an important and timely topic. Community members are encouraged to read the book this summer and participate in events, lectures and related discussions that will be scheduled for the fall.
E-version and hard copy versions of The Color of Food are available through the CSU Libraries. The book will also be available for discounted purchase at the CSU Bookstore in the Lory Student Center in the fall.
Read more about RamsRead on Source
Pretty much every library has books. So does the Morgan Library, but it also has a 3D object scanner, a meditation room, state and county parks passes, more chargers than anyone would ever need and an extensive collection of cat-centric yearbooks.
The more than 120 students and 80 full-time employees at the Colorado State University Libraries want students to know about the unique things that are available for free. The vast majority of resources and services are available to students at no cost because of the student tuition and fees, as well as university funding.
In June 1985, Colorado State University professor Thomas Sutherland was working at the American University of Beirut. In 1991, he finally returned home to Fort Collins to a hero’s welcome after spending six years as a hostage of Islamic jihadists. His determination and courage during his captivity was recognized and celebrated the world over.
Thanks to the work of archivists and librarians at CSU Libraries, the Sutherland family’s legacy – an example of how resiliency and positivity can emerge from adversity and transform lives – will be preserved and accessible to researchers, providing more insight into their wide-ranging impacts within local and international communities.
Making your research reproducible is increasingly important as research data become larger and more complex. The Coding & Cookies series provides an introduction to literate programming with R, a popular programming language for statistical computing. Learning to automate data cleaning, analysis, and visualization will make your research more efficient, reliable, and transparent.
Coding & Cookies is offered in collaboration with the Department of Statistics.
*We will be piloting one hybrid workshop on September 21st. Participants will choose between an in-person session and an online (Zoom) session. The workshop will be broadcast live to the Zoom session, with a facilitator to answer questions.
New to R or RStudio? We encourage you to attend the first session, R Basics. A basic working knowledge of R and RStudio is helpful to get the most out of the rest of the sessions.
Learning how to code involves an investment of time and effort up front, but will save you time and effort in the long run. In the R basics Coding and Cookies session, the basics of using tabular data in RStudio will be discussed. By the end of this session, you will be able to load data into R, calculate summary statistics, and create exploratory graphs using R’s basic graphics package. This session is geared toward beginners, so if you have experience using R, this may not be the class for you.
Tidy Data in R
The process of generating data can be messy, and what you can do with your data depends strongly on how it is formatted. This month's coding and cookies will cover the definition of “tidy data”, a standardized way of formatting your data that makes it easier to work with. You will learn how to clean and reformat your data using a collection of R packages called the tidyverse. A basic working knowledge of R and R studio would be helpful for you to get the most out of this session.
Data Visualization using ggplot2
So you’re familiar with R, but want to do more with your plots than the base graphics package. In this month’s Coding and Cookies, the ggplot2 package in R will be discussed. After this session, you will be able to create a variety of plot types, alter their aesthetics, and create custom themes. A working knowledge of R and R studio and dplyr would be helpful for you to get the most out of this session.
Reproducible Reports using RMarkdown
Documenting your analysis in a way that is understandable to a colleague (or yourself 3 months later) can be challenging. One way to make reports more readable, even by people who don’t code, is to alternate human readable text with machine readable code. In this month’s Coding and Cookies session, we will cover creating reproducible reports of this type using knitr. After this session, you will be able to create R markdown documents, add formatted text and executable code blocks, and render the R markdown document into a final report.