Biostatistics R统计代写

日期：2018-04-21 12:28

DPH112 Biostatistics 2

1 Background

You will make use of the Excel file called HINTS 4 Cycle 4 Data.csv. The file

contains data from the Health Information National Trends Survey (HINTS)

conducted by the US National Cancer Institute. The survey collects nationally

representative data on the American public’s use of cancer-related information.

The survey has been conducted nine times since 2003. The data you will be

analysing comes from the 2014 iteration. Codebooks and methodology papers

may be found on the HINTS website, which you may access as you wish.

You will be exploring the relationship between the respondent’s body mass

index and the average daily amount of time the respondent spent on sedentary

leisure activities in the past month. You must perform a simple linear

regression of BMI on sedentary leisure time and report your findings. The

data analysis must be conducted in R. You must use the variables bmi and

averagedailytvgames and only these two variables. You must clean the data

set, ensuring that only valid data are analysed. You must perform the analysis

and produce a regression equation and a suitable graphical summary. You

must also test the assumptions of the model. Finally, you must present your

R command file. In a written report, you must describe your methods and

findings.

2 Instructions

Prepare a written report of no more than 250 words, at least one and no more

than five figures, and no more than three tables. The report must show that

you are able to

1. describe the methods you’ve employed (10 marks);

2. summarise the results of the regression analysis (30 marks);

3. summarise the results of the diagnostic tests (10 marks);

4. interpret the findings in the context of the research question (10 marks);

and

1

5. use technical English appropriately (10 marks)

The R file must show that you are able to

1. import data from Excel to R (5 points);

2. identify and exclude invalid data from analysis (5 points);

3. perform a simple linear regression (5 points);

4. produce a graphical summary of the data (5 points); and

5. perform tests of the validity of the model (10 points)

3 Submission

You must submit two files.

• File 1 is the research report in PDF format. The file must be named

< StudentID > .pdf. For example, 123456789.pdf.

• File 2 is the R command file. The file must be named < StudentID > .R.

For example, 123456789.R.

You must submit the files via ICE. All penalties for late or incomplete submissions

apply.

2

4 Marking Rubric