STAT-4094: Introduction to Programming in R
Description: Introduction to R programming techniques with an emphasis on statistical analyses. Topics include: data objects, loops, importing/exporting datasets, graphics, functions, t-tests, ANOVA, linear regression, nonparametric tests, and logistic regression.
Pathways: N/A
Course Hours: 1 credit
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 6
Average GPA: 3.58 (rounds to A-)
Strict A Rate (No A-) : 64.32%
Average Withdrawal Rate: 2.39%
| Staff Sunshine | 2019 | 76.9% | 7.7% | 0.0% | 7.7% | 0.0% | 7.7% | 3.69 | 1 |
| Xiaowei Wu | 2024 | 65.6% | 20.5% | 5.6% | 0.0% | 6.1% | 2.2% | 3.38 | 3 |
| Hoang Phuong Do | 2020 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 4.00 | 1 |
| Shane D Bookhultz | 2021 | 62.5% | 37.5% | 0.0% | 0.0% | 0.0% | 0.0% | 3.66 | 1 |