代写STAT40830、代写R编程设计

日期：2022-12-22 07:18

STAT40830 Adv Data Prog with R (online)

Resit Project: Creation of a R package

Due date: Wednesday 21st of December at 5pm

This project is marked out of 100. Please upload to Brightspace the completed As-

sessment Submission Form, one zipped file for your package (e.g, PackageName 0.1.0.tar.gz)

and any other relevant files. For full marks, please ensure your code is clear and

well-commented.

Creation of an R Package

Create an R Package using a dataset of your choice. You must not use a built-in R

dataset or a dataset you used previously in STAT40830 for the project or the ’Maths Ed’

dataset used in the course. If you wish you can make use of the following websites to

find an appropriate dataset:

The Irish government data repository: https://data.gov.ie/

Google dataset search: https://datasetsearch.research.google.com/

Give your package an appropriate name and consider the overall aim of your pack-

age. The guidelines for the package are as follows:

1. Include at least four functions in separate R script files

(a) At least one function should relate to data manipulation

(b) At least one function should use ggplot2

2. Include an interactive plot

3. Incorporate a Shiny app

4. Include appropriate documentation for the package

5. The package should be built and checked with 0 errors, 0 warnings and 0 notes

(some notes and warnings may be system-dependent so certain exceptions

may be accepted on this point)

Grading

The package should show mastery of the material from the module and have cohe-

sive documentation. R code/packages not seen in the module may be used. The

project will be marked out of 100 according to the following criteria:

1. (30 marks) Technical parts of the code

2. (10 marks) Quality of interactive graphics (e.g., ggiraph)

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3. (10 marks) Quality of graphics

4. (5 marks) Code is commented (succinctly)

5. (5 marks) Incorporation of a Shiny app

6. (25 marks) Non-technical aspects (e.g., documentation)

7. (15 marks) Usability of the package (e.g., package compiles, how easy it is for

a user to understand, navigate and use the package).

Plagiarism

While you are encouraged to ask about the module material, this project should be

completed individually. Any student who plagiarises will receive a 0 mark. The

UCD Plagiarism Policy applies to all students. This can be consulted at:

http://www.ucd.ie/governance/resources/policypage-plagiarismpolicy/.

Notes

If you are concerned about your choice of dataset, please email the dataset to me

(emma.howard@ucd.ie). Please note that the assignment marks are for incorporat-

ing a Shiny app (i.e., you can create a very basic app to incorporate rather than

spending time on developing this component). After the submission date, you may

wish to share your code from this module (e.g., for the Shiny app or the R package).

If you share the code online, it is important to reference the dataset used etc.