STA 378: Cloud-Based Research Computing For Statistics

• Course Description
• Sample Code
  • R
    • R Example 1
    • template.txt for the regression artifact example.
  • Shell scripts
    • runR: Run 4 R jobs.
    • gatheR: Gather the output from 4 R jobs.
    • del: Sample shell script for a custom delete command.
  • Notes on running the jobs.
• Resources
  • Unix commands (short version)
  • Unix commands (longer version
  • Emacs Handout (short version)
  • Emacs Handout (longer version)
• Tasks
  1. Download and install PuTTY and psftp under Windows.
  2. Install R from the linux command line.
  3. Investigate Amazon Web Services.
  4. Using material from Example 1 as necessary, develop R code for a simulation study comparing p-values from ordinary linear regression and logistic regression, when the outcome variable is binary. Call this Study One.

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  5. Adapt the shell scripts runR and gatheR (see above), using a loop so that it's easy to run varying numbers of jobs.