Introduction to R (Houston, TX)

Instructor(s):

  • Ryan Kennedy, University of Houston

Most students learn to use R piecemeal, by performing tasks similar to what they have already learned in another program like Stata or SPSS. The result is often frustration on the part of both students and professors. This course takes a different approach. Utilizing the "tidyverse" tools, this course shows how writing code in R can be both easy and intuitive. We will cover graphics, data management and modeling, automated updating of tables, replication using markdown, functional programming, and, time permitting, application design. This course is not about repeating in R what students have already learned elsewhere, but to instead become R programmers capable of approaching any new challenge.

Prerequisites: Basic statistics.

Software: R and RStudio (installation instructions will be submitted by instructor prior to start of workshop)

Financial support of up to $1,000 per workshop is available for eligible students. In order to determine if you qualify for funding, send a personal statement of purpose, letter of recommendation from an advisor/colleague, and a copy of your unofficial transcript to Pablo Pinto (ppinto2@uh.edu), Director of the University of Houston Center for Public Policy, and Scott Mason (smason@uh.edu), Program Manager 2 at the University of Houston Hobby School of Public Affairs. The deadline for submitting this request is Friday, April 19.

Fee: Members = $1500; Non-members = $2800

Tags: R Statistical Program, R Statistical Package

Course Sections

Section 1

Location: University of Houston -- Houston, Texas

Date(s): May 13 - May 15

Time: 9:00 AM - 5:00 PM

Instructor(s):

  • Ryan Kennedy, University of Houston

Syllabus: