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 and familiarity with statistical software or database packages (such as Excel, SPSS, Stata, SAS, SQL, Python).

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

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 14 - May 16

Time: 9:00 AM - 5:00 PM

Instructor(s):

  • Ryan Kennedy, University of Houston

Syllabus: