Instructions

Fill out the part above by replacing the YOUR NAME HERE with your actual name and save this file as YOURNAME_HOMEWORK_DATATYPES.Rmd in your local directory. If you are looking at this in a browser, use the Download Rmd option in the Code menu at the top right corner of this page.

The questions below are intended to be answered by you trying out the code (e.g., typing it into the Console in RStudio) and then writing the answer under the question.

Before you turn it in, save it and hit the “Preview” button on the toolbar at the top of the page to make it into HTML. Submit the HTML as your assignment, it will be named something like YOURNAME_HOMEOWRK_DATATYPES.nb.html.


Activities

1. Define Data: Insert a chunk and define two variables, \(N_A\) and \(N_B\), which define the number of samples taken from the field.

2. Inline R: Write a paragraph of text that mimics something like the methods section of a scientific paper where you indicate how many total samples were collected and how many were sampled from sites \(A\) and \(B\). These should be ‘in-line’ R code, use the variables directly.

3. Some Math: Consider Dr. Dyer’s need for fresh charcuterie in his life. Luckily, RVA has a spectacular butcher in Carytown, Belmont Butchery. Below are the coordinates for both Dyer’s office and the purveyor of fine products. Use your old friend, the pythagorean theorem to figure out the distance between these two points (n.b., I know degrees are not a good measure of distance but this is about you working on making equations).

lat.office <- 37.5445796
lon.office <- -77.454640
lat.belmont <- 37.554462
lon.belmont <- -77.479170

meat_walking_distance <- sqrt( (lat.office - lat.belmont)^2 + (lon.office - lon.belmont)^2 )

4. Coerce the character representation of this very large number x <- "1.739275e+18" into a numeric data type and take the natural logarithm.

5. How does R represent the square root of -1?

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