R programming Data Analysis -- 2
Budget: $2 – $8 AUD
The project will be a data analysis project (I will provide most of the necessary code to implement the project in R---see the attachment above), and for this project, you will need to turn in a ~5 page written report on your data analyses. Your document should be professionally presented (imagine giving it to your future boss as a report), and pertinent statistical decisions (e.g., parameter selection in classifier models, statements about classifier efficacy, etc.) should be justified in the text.
The document should include
1. Text paragraphs describing the applied methods (including why you do things like CV, dimension reduction, introduce non-linear kernels, etc.). All methods should be explained in text paragraphs.
2. All decisions/analyses should be explained in text paragraphs.
3. Figures and tables that are illustrative for your method; these should be explained in text paragraphs.
4. Answers to all the questions raised in the attached document.
The document should not include
1. Large chunks of code
2. Long bulleted lists
3. Sentence fragments as explanations
4. Unexplained analyses and figures
In addition to the written report, I would like a separate file showing all of the output of your code.
The document should include
1. Text paragraphs describing the applied methods (including why you do things like CV, dimension reduction, introduce non-linear kernels, etc.). All methods should be explained in text paragraphs.
2. All decisions/analyses should be explained in text paragraphs.
3. Figures and tables that are illustrative for your method; these should be explained in text paragraphs.
4. Answers to all the questions raised in the attached document.
The document should not include
1. Large chunks of code
2. Long bulleted lists
3. Sentence fragments as explanations
4. Unexplained analyses and figures
In addition to the written report, I would like a separate file showing all of the output of your code.