SIUE Statistical Laboratory Page

This page contains the weekly laboratory materials.

R is an open source (free) software for statistical computing and graphics. More information on R in this page.

RStudio is a popular front-end (IDE) for R giving you a console, a scripting window, a graphics window, and an R workspace, among other options.

Weekly Lesson	Weekly Exercise
Week 1: R Software Introduction	Exercise 1
Week 2: Reading Data in R	Exercise 2
Week 3: Numerical and Graphical Summary using mosaic Package	Exercise 3
Week 4: Data Management using dplyr Package	Exercise 4
Week 5: Experiments, Random Samples, and Simulations in R	Exercise 5
Week 6: Probability Models in R	Exercise 6
Week 7: Sampling Variability and Sampling Distribution of the Sample Mean	Exercise 7
Week 8: Sample Proportion and Confidence Interval	Exercise 8
Week 9: Inference About the Single Mean	Exercise 9
Week 10: Comparing Two Populations Using Independent Samples	Exercise 10
Week 11: Analysis on Paired Data	Exercise 11
Week 12: Describing Relationships Between Quantitative Variables	Exercise 12
Week 13: Simple Linear Regression Analysis	Exercise 13
Week 14: Multiple Regression Analysis	Exercise 14

On Windows and Mac, go to this page and click Download under RStudio Desktop Open Source License.

Read the weekly lessons first and try out the R codes before answering the week’s exercise.
Download the week’s exercise file and open the file using RStudio. Right click the link and “Save as…” to your desktop folder (or any folder you keep all the lab materials). In some cases you might need to change the file extension to .Rmd.
This RMarkdown (.Rmd) file type is used widely to share R codes and reproduce statistical results. More information is found on this page.
- Open the file Week1-Exercise.Rmd using RStudio.
- Write your R code inside the code chunks after each question.
```
      # Code Chunks
      ```{r }
              
      ```
```
- Write your short comments after the hashtag # sign. For longer comments, write it outside the work chunk.
- To generate the word document output, click the button Knit and wait for the word document to appear.
- RStudio will prompt you to install the knitr package.
Submit your completed laboratory exercise using Blackboard’s Turnitin feature. Your Turnitin upload link is found on your Blackboard course shell under the Laboratory folder.

This page contains weekly laboratory materials for Stat 244 and Stat 380.