Launch RStudio and open a new RMarkdown file or use the class RMarkdown template provided and save it on your working directory as a .Rmd file. At the end of the activity, save your pdf generated from RMarkdown+Knitr and submit it in the Blackboard dropbox.
Show all your work. Late submission will attract a penalty of 10 points per day after the due date.
If you have questions, please post them on the lesson discussion board.
- (a) Create a vector of length 10 and fill it with a sequence of integers.
(b) Coerce the vector into a matrix of 5 rows and 2 columns. (c) Name the columns of the matrix A and B.
- Assume that we have recorded the names and ages for four people: James is 27, Art is 42, Kate is 29, and Alex is 33.
- Create a vector of names and a vector of ages from the data, making sure that you keep the ordering of the elements consistent.
- Use the class() function to print the class metadata R has stored for each vector.
- Using data.frame(), combine the two vectors into a dataframe and name the columns something informative. Print out the dataframe.
- A hypothetical data with heights (in cm) and weights (in kg) of 10 family members are shown below:
height (cm) weight (kg)
| Niece | 120 | 22 |
| Son | 172 | 52 |
| GrandPa | 163 | 71 |
| Daughter | 158 | 51 |
| Yai | 153 | 51 |
| GrandMa | 148 | 60 |
| Aunty | 160 | 50 |
| Uncle | 170 | 67 |
| Mom | 155 | 53 |
| Dad | 167 | 64 |
- Create a vector called ht corresponding to the heights of the 11 family members. Assign the names of the family10 members to the names attribute of this vector.
- Create a vector called wt corresponding to the family members weights.
- Compute the body mass index (BMI: units should be kg/m2) of each person where BMI = weight/height2.
- Identify the persons who have the lowest and highest BMI and calculate the standard deviation of the BMI.

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