Statistics and Statistical Programming (Winter 2021)/Problem set 3: Difference between revisions
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== | == OpenIntro Excercises == | ||
* Complete '''exercises from OpenIntro §2:''' 2.12, 2.13, 2.16, 2.20, 2.23, 2.30 (and remember that solutions to odd-numbered problems are in the book!) | * Complete '''exercises from OpenIntro §2:''' 2.12, 2.13, 2.16, 2.20, 2.23, 2.30 (and remember that solutions to odd-numbered problems are in the book!) | ||
== Programming Challenges == | |||
Because this is our first week, the programming challenges are setup tasks you can do to prepare you to complete future programming challenges. | |||
:'''PC1.''' Download and install R — You can do that from [https://cran.rstudio.com/ this webpage] where you will have to choose based on your operating system. | |||
:'''PC2.''' Download and install RStudio — Download from the [https://www.rstudio.com/products/rstudio/download/ the RStudio download page] choosing an option appropriate for your operating systems (e.g., Windows, Mac OSX, or GNU/Linux). | |||
:'''PC3.''' (a) Create and save a new RStudio "Project" ('.Rproj'). Then, within your new project, (b) create and save a new RMarkdown file ('.Rmd'). Finally, (c) write a combination of text notes and R code in your RMarkdown file and "knit" the output into HTML and PDF. I recommend reproducing and extending some of the examples from the first ''COM520 R Tutorial #2'' such as the following: | |||
* Complete an arithmetic problem | |||
* Assign multiple values to a variable. | |||
* Perform an operation on your variable (e.g., create a variable called <code>x</code> that contains a set of numerical values and multiply it by some other number. | |||
* Create variables of different classes and get R to tell you the class of each variable using the <code>class()</code> function. | |||
* Perform a logical comparison on the values of a variable (e.g., can you print the values of the <rivers> dataset that are less than 500?) | |||
* Install and load a library. Try the <code>openintro</code> package that accompanies our textbook. | |||
:'''PC4.''' Upload your .Rmd file and knitted .pdf file to [https://canvas.northwestern.edu/courses/122522/assignments/ the appropriate assignment on Canvas]. |
Latest revision as of 10:39, 3 January 2021
This page is a supporting page for the course Statistics and Statistical Programming (Winter 2021). |
OpenIntro Excercises[edit]
- Complete exercises from OpenIntro §2: 2.12, 2.13, 2.16, 2.20, 2.23, 2.30 (and remember that solutions to odd-numbered problems are in the book!)
Programming Challenges[edit]
Because this is our first week, the programming challenges are setup tasks you can do to prepare you to complete future programming challenges.
- PC1. Download and install R — You can do that from this webpage where you will have to choose based on your operating system.
- PC2. Download and install RStudio — Download from the the RStudio download page choosing an option appropriate for your operating systems (e.g., Windows, Mac OSX, or GNU/Linux).
- PC3. (a) Create and save a new RStudio "Project" ('.Rproj'). Then, within your new project, (b) create and save a new RMarkdown file ('.Rmd'). Finally, (c) write a combination of text notes and R code in your RMarkdown file and "knit" the output into HTML and PDF. I recommend reproducing and extending some of the examples from the first COM520 R Tutorial #2 such as the following:
- Complete an arithmetic problem
- Assign multiple values to a variable.
- Perform an operation on your variable (e.g., create a variable called
x
that contains a set of numerical values and multiply it by some other number. - Create variables of different classes and get R to tell you the class of each variable using the
class()
function. - Perform a logical comparison on the values of a variable (e.g., can you print the values of the <rivers> dataset that are less than 500?)
- Install and load a library. Try the
openintro
package that accompanies our textbook.
- PC4. Upload your .Rmd file and knitted .pdf file to the appropriate assignment on Canvas.