For each step, make sure your markdown document prints the relevant output, so that I can see that your code works.
Problem 1 - wrangling with dplyr
- Load the Howell’s craniometric dataset into R. This dataset includes 82 measurements on 2524 human crania from 28 populations (measurement abbreviations detailed in this pdf). Note that a 0 indicates missing data in this dataset, so make sure to specify this when you read in the data.
- Evaluate the structure of the dataframe using the
str() function to make sure that it got read in correctly. It should have 2524 observations of 86 variables. - Create a new dataframe called
selected_cols which contains only the Sex, XFB, OBB, and SIS varibles - Add a new column called
product to the new dataframe that is the product of the XFB, OBB, and SIS variables (i.e. multiply all three columns together to create this new column). - group the
selected_cols by sex, and create 3 summary columns with the minimum, maximum, and mean values for the product column, by sex. Hint: the result dataframe should contain 2 rows and 4 columns, including the Sex column.