Motivation Lately, I, Edward, have been programming in Julia a lot. Two times in the last week, I’ve needed a function like R’s tapply(), but in Julia. With a little bit of searching around the interwebs, I hacked together a reasonable equivalent to R’s tapply() written in Julia. This blog post will explain the function tapply() and briefly introduce the two examples where I used tapply(). Last, I’ll provide my Julia code which replicates R’s tapply() function.
Last week Chico State hosted it’s first Software Carpentry workshop and it was a great success. We were thrilled to have Reid Otsuji from UC San Diego and a Library Carpentry instructor come up to help teach the material. We had three undergraduate students help out as technical assistant roaming helpers throughout the workshop: Grant Esparza (Computer Science), Jerry Tucay (Applied Mathematics & Statistics), and Eisley Adoremos (Statistics). Their assistance with answer questions and helping add to the collaborate class notes was invaluable!
On August 13 - 15th, the DSI is hosting a Software Carpentry workshop for graduate students, faculty, and any other researcher that wants to learn how to conduct reproducible research. You don’t need to have any previous knowledge of the tools that will be presented at the workshop. The Carpentries are a fiscally sponsored project of Community Initiatives. They teach skills that are immediately useful for researchers, using lessons and datasets that allow researchers to quickly apply what they’ve learned to their own work.
April is Data Fest Prep month! Hone your skills in preparation for this exciting data hackathon event! Logistics / Setup Date: Thursday April 18, 2018 Time: 3-3:45 pm Location: MLIB 442 Presenter: Robin Donatello: firstname.lastname@example.org Materials: R code (solutions will be posted after the workshop!) Details Are you new to R and want to learn how to make data visualization? Are you new to ggplot and want to understand more how the syntax works?
A second section of MATH 130 - Introduction to R has been added to the Spring 18 schedule. MW 3-4:45 Holt 155 Week 1-5 only Instructor: Robin Donatello or Edward Roualdes (TBD) Until open enrollment starts back up in January, contact Robin Donatello to enroll.
Learn R Now! Will you be taking Math 315 (Statistics)? Do you want to have better control over your own data analysis? Have you always wanted to learn R but never got around to it? Do you want to learn how to visualize your data? Are you interested in Data Science, Data Analytics, Business Analytics, Forecasting, Bioinformatics, or Health Informatics? Do you want to learn how to make your research reproducible?