R system stats assignment - repost

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Attached is my R system stat assignment, i need it ASAP.

Please follow below instructions:

When solving the problem keep in mind that:

• you need to generate your own data and you can do that in R using


• you know how type I and II errors and power are defined

• you can add comments in the R program as commented-out sentences.

and I received e-mail that when using R software,

2. Hand in your raw R script (NOT R output text file!). Please try to minimize the amount of files and I suggest you to make copious comments on the R file and avoid sending additional files with derivations,.

3. Please clean your script in the following way:

1) R scripts should be named after the assignment number and your student ID, e.g. A1_studentID.R (for assignment1). Also note that it's easier in unix system if the file name does not contain white spaces or special characters.

2) The R script must be executable, that is, it does not contain anything that will terminate the script (a comment without "##" or uncommented prompt sign ">", etc...)

3) When reading in data files, please name your data the exact same way as I suggest you (I will post guideline for assignments prior to the due date)

I would also really appreciate that you mask the portion of codes where you read in your data or [url removed, login to view]() or "[url removed, login to view]()" using "##" if you need to produce extra tables, use build in functions such as "[url removed, login to view]()"

4) Please do not produce a plot using "plot()" function directly in your codes. Instead, try print everything using either "print()" or if you wish to produce a plot as an external file, try "pdf()" or "png()" functions.

5) remember to "[url removed, login to view]()" for any random generation or sampling of the data so I can reproduce your results.

6) MOST IMPORTANTLY: return all the required outputs in a convenient form with annotations. i.e. print(paste("parameter alpha is", 0.1)) or c("parameter1"= 0.1, "maximized at" = 10.4)

If these were not in the R output file I produced using your script, marks will be deducted accordingly.


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