class: center, middle, inverse, title-slide # Introduction to BIOS524 ### Mikhail Dozmorov ### Virginia Commonwealth University ### 08-25-2021 --- class: center, middle # Welcome --- ## Logistics - A two-part course: - August 25 - October 13, 2021: R programming - October 18 - December 8, 2021: SAS - **Nitai Mukhopadhyay**, Ph.D., Associate professor, Department of Biostatistics, VCU - Bayesian inference, Graphical models, Image analysis, Adaptive Clinical trial designs, Statistical Computing, Markov chain Montecarlo sampling, Multivariate quantile - **Mikhail Dozmorov**, PhD, Associate professor, Department of Biostatistics, VCU - Bioinformatics, Genomics, Data Science .small[ https://medschool.vcu.edu/expertise/detail.html?ID=1180 https://medschool.vcu.edu/expertise/detail.html?id=mdozmorov ] --- ## Biostatistical Computing with R - Learning through practice - this means you will always do something hands-on - While doing, you will need to google for help - you will learn a lot from other resources - Let's maintain a welcoming and supportive environment - Ask as many questions during the class as necessary! Worst case - I'll address them later, if not covered during the class - Respect each other --- ## Learning Objectives By the end of this course, you will be able to: - Understand and utilize R/RStudio - Share your code on GitHub - Understand basic data types and data structures in R - Execute and interpret some basic statistics in R - Load data files (Excel, Comma Separated Value files) into R/Rstudio, with tips on formatting and data organization - Filter and format data in R for use with various routines - Visualize datasets using ggplot2 and understand how to build basic plots using ggplot2 syntax --- ## Rules for interaction - Join [vcubiostat.slack.com](https://vcubiostat.slack.com/) channel. See [Slack 101](https://slack.com/resources/slack-101) - Contact via direct messages, or add others for group conversations - Omit formalities, but be respectful and polite - I'll try to answer your questions asap, typically, within 24 hours - E-mail works --- ## Class Assignments - Homeworks should be submitted via Canvas, or as instructed - Homeworks are due 1 week after the class. E.g., homework for September 22 class is due September 29, 5:00pm Eastern time - A final project will conclude the course - Office hours - by appointment. Message by Slack or e-mail to schedule, or talk with me at class. Zoom meetings are possible.