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| Week | Date | R Topic | Statistical Topic | Instructor |
|---|---|---|---|---|
| 1 | 9/4 | Introduction to R | Did we mention R? | Nate Pope/Spencer Fox/Nichole Bennett |
| 2 | 9/11 | Probability Distributions, Simulation | Probability and Likelihood | Nate Pope/Spencer Fox/Nichole Bennett |
| 3 | 9/18 | Functions, Flow Control | Hypothesis Testing | Nate Pope/Spencer Fox/Nichole Bennett |
| 4 | 9/25 | Model Fitting, Debugging | Linear Models | Nate Pope/Spencer Fox/Nichole Bennett |
| 5 | 10/2 | Model Building | Andrius Dagilis | |
| 6 | 10/9 | |||
| 7 | 10/16 | Spatial/Temporal statistics | Emlyn Resetarits | |
| 8 | 10/23 | Bayesian inference in JAGS | Bayesian Inference | Spencer Fox |
| 10 | 11/6 | Package igraph | Networks | Amanda Perofsky |
| 11 | 11/13 | Package lme4, parametric bootstrap | Mixed/Hierchical Models | Nate Pope |
| 12 | 11/20 | Parallelization in R, R on TACC | GWAS?R, TACC | Dennis Wylie |
| 13 | 12/4 | Best programming practices in R | R! | Nichole Bennett |
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