STAT 432: Analysis 05 Directions

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Analysis Goal

Use the given data to classify handwritten digits. There is only one task associated with this analysis, an IMRAD. Given that this is a benchmark dataset, the analysis can be more about comparing the performance of methods than using the methods in practice.

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Data

• Original Source: THE MNIST DATABASE
  • Additional Background: Wikipedia: MNIST Database
  • Load Directly from Source: load_mnist.R
  • Load Pre-Made CSV Files: MNIST in CSV

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IMRAD

For this analysis, do the following:

• Analyze the data however your please! You should keep the stated goal in mind, but you may define a more specific goal that you are working towards.
• Write a report in R Markdown using the IMRAD template.
  • Write an abstract.
  • Write an introduction.
  • Write an methods section.
  • Write an results section.
  • Write an discussion.

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IMRAD Submission

Submit a .zip file to Compass that contains:

• A .Rmd file that is your IMRAD.
  • This file should be written assuming that it is in the same folder as a folder called data/ which contains heart-disease.csv.
  • Hint: Create an RStudio Project.
• A .html file that is the result of knitting your .Rmd file.

The zip file should contain no other files. (Whether or not these two files are within another folder does not matter.)

Submit your .zip file to the correct assignment on Compass2g. You are granted an unlimited number of submissions. Only your final submission will be graded.

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R Environment

We assume that your R, R packages, and RStudio are all up-to-date. (Or at least as recent as the versions found on RStudio Cloud.) You’ve been warned.

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R Style

Your code will be graded based on its style. We don’t expect you to have a mature coding style, so we have a list of rules which must be followed.

The following will be explicitly checked for in your code:

• All commas must be followed by a space. (Additionally, commas should never be preceded by a space.)
• Infix operators (==, +, -, <-, etc.) should always be surrounded by spaces.
  • Exceptions: :, ::, $, [, [[, ], ]]
  • ^: Use x ^ 2 instead of x^2.
• Use a consistent assignment operator. Either <- or =, not both.
  • If you choose to use the <- operator, you will need to replace the = operator in the given code.
• Do not use T or F.
• Do not use absolute paths.
• Do not use semicolons, ;.
• Do not use theattach() function.
• No more than one newline (blank line) in a row in an R Markdown document.
• No more than one newline (blank line) in a row in an R chunk.
• A newline before and after each chunk in an R Markdown document.
• No newline to start a chunk. No newline at end of chunk. (The first and last line of each chunk should contain code, or a comment for the first line.)
• A newline at the end of the file.

The following are suggested, but will not be directly assessed:

• Variable and function names (that are user created) should only contain lowercase letters, numbers, and underscores.
  • Do not use periods, ., or capital letters in variable and function names.
• Opening (left) curly braces should not be on their own line.
• A space should precede a parenthesis, except in a function call.
  • Good: for (i in 1:10)
  • Bad: for(i in 1:10)
  • Good: mean(x)
  • Bad: mean (x)
• Except for the first, argument names should be written in function calls. (Exception for the predict() function.)
  • This will be encouraged, but not enforced, as often it is better to make a judgement call than to be dogmatic.

Much of this is derived from the tidyverse style guide. If you follow the tidyverse guide, be aware of our use of ^ and =.

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Grading

This analysis is worth a total of 10 points.

• IMRAD .Rmd and .html (4 points)
  • Code Style in .Rmd (0 - 1 - 2 - 3)
  • Eye Test of .html (0 - 1 - 2 - 3 - 4)
    • Does it look like you’ve done an analysis? Is it reasonably formatted?
  • Submission (0 - 1 - 2 - 3)
    • 3 points for on time
    • 2 points for within 24 hours
    • 1 point for within 48 hours

Failure to submit the correct files will results in 0 points for the IMRAD.

If you submit multiple attempts, the final attempt will be graded. If your first submission is on time, but your final submission is late, you will incur the late submission penalty.

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