Most due dates are 5 p.m. Tuesday for DataCamp assignments.
Assignments are generally due at the start of the class.
- Homework solutions will be posted in AsuLearn around 5 p.m. on Sundays.
Jan 16:
- Go over syllabus.
- Become familiar with the Appstate RStudio server. You will use your Appstate user name and password to log in to the server. You must be registered in the class to access the server.
- Sign-up for free accounts on GitHub and Rpubs.
- When you register for a free individual GitHub account, request a student discount to obtain a few private repositories as well as unlimited public repositories. Please use something similar to first_name_last_name as your username when you register with GitHub. For example, my username on GitHub is alanarnholt. If you have a popular name such as John Smith, you may need to provide some other distinquishing characteristic in your username. Please use the same username for your account on Rpubs.
- Once you have a GitHub account, send an email to arnholtat@appstate.edu with a Subject line of STT5812 - GitHub Username, and tell me in the body of your email your first name, last name, and your GitHub username. I will then manually add you as a team member to the repository in the STAT-ATA-ASU organization that has your name (Last_name-First_name). This repository will be where you store all of your work for this course. I will also change your repository to a private repository.
- Follow the directions from Happy Git and GitHub for the useR to Introduce yourself to Git, Connect to GitHub, and Cache credentials for HTTPS.
- Clone your Repository
- Set Global Options
- In class lecture: Review of one and two sample inference, permutation tests, and bootstrap procedures — take notes
- Statistics Review
Jan 23:
Jan 30:
- In class lecture — definitions of named sampling distributions
- Quiz #2
Feb 6:
- In class lecture — review some R basics and EDA material
Quiz #3
- Update README file in private repository
- Use an avatar or picture on your GitHub account
- Homework:
- Read pages 519-555 PASWR2E
- Complete chapter 9 problems 2-18 (evens)
- Complete DataCamp course Building Web Applications in R with Shiny—This course is still in development so I am not able to link it to AsuLearn—Please complete the course and we will link it to AsuLearn later if it becomes available. You have access to all Premium courses.
Feb 13:
- The Building Web Applications in R with Shiny is now linked to AsuLearn. If you have completed the module, open the modeule via AsuLearn and submit one answer and your grades will transfer to the AsuLearn gradebook.
- In class lecture first 1/2 of Chapter 9—Power—Download the Outline for Meeting #5 (*.Rmd file) from AsuLearn.
- Discuss writing a function
- Quiz #3
- In class lecture on Shiny
- Assign groups and Shiny project (coverage probability)
- Download the two zip directories in the Building Web Apps with Shiny directory on AsuLearn.
- Homework:
- Read pages 555-578 PASWR2E
- Complete chapter 9 problems 2-18 (evens)
- Complete DataCamp course Working with the RStudio IDE (Part 2) (3 hours)
- Work on Shiny project - Devlop a Shiny App for the
binom.plot() function from the binom package. Note that the argument to method is not enclosed with quotes.
- Create a function that graphs \(\alpha\), \(\beta\), and power assuming a normal distribution with a given \(\sigma\). Your function should have at a minimum arguments allowing the user to specify the alternative hypothesis, the sample size, and the true mean under the alternative hypothesis.
Clone the repository to your local machine using RStudio by following these instructions:
- Fork the repository.
- Copy the clone URL to the clipboard.
- Click
File > New Project > Version Control > Git
- Paste the clone URL (
https://github.com/YourUserName/STAT-ATA-ASU/STT5812CourseRepo.git) in the Repository URL: box.
- Use the name (
STT5812CourseRepo) in the Project directory name: box.
- Change if needed the location in the
Create project as subdirectory of: box.
- Click the
Create Project box. You should now have a local copy of the forked repository on your local machine. Congratulations!
Set the upstream remote in your fork to this repository with the command
git remote add upstream https://github.com/STAT-ATA-ASU/STT5812CourseRepo.git
Verify with
git remote -v
To obtain updates from the upstream repository type
git pull upstream master
If the upstream repository is using gh-pages, use gh-pages instead of master to obtain updates.
git pull upstream gh-pages
If there are conflicts, you will need to resolve them before proceeding.
Feb 20:
- In class lecture on Power
- Assign groups and Shiny project (Power)
- Homework:
- 9 problems 20-30 (evens)
- Work on Shiny project - Your shiny app should show rejection regions and power for a one sample test when sigma is known (z-test) and when sigma is estimated (t-test). I look forward to your finished products!
Feb 27:
Mar 13:
- Group presentations on Power App—First part of class
- Lecture on Regression
- Individual homework problems Chapter 9: 19 and 31—Write up with Rmarkdown using
bookdown—Due March 20, 2018
Mar 20:
- Lecture on Regression
- Individual homework problem Chapter 12: 2—Write up with Rmarkdown using
bookdown—Due March 27, 2018
- Group Assignment—in AsuLearn—Directions in AsuLearn
- Complete DataCamp course Multiple and Logistic Regression
Mar 27:
Apr 10:
Apr 17:
Apr 24:
May 1:
Final Exam
-
Follow the Tuesday evening (after 5 p.m.) meeting pattern on the University Exam Schedule to determine when you will present your Project.
Last Updated on: Mar 28, 2018 at 01:24:33 PM