Data manipulation 2

KEY VERSION

Complete the following exercises in a new R script you create in R studio

A. Loading new packages

Write a script with your name and date at the top. Now write some code that first clears your working directory, and then loads the dplyr package. Note: if you have not successfully installed the dplyr package yet from CRAN, you will have to do that first.

# Name
# Date
rm(list=ls())
library(dplyr)

B. Explore the new package

Open the dplyr vignette using the vignette() function. Scroll through the vignette. What is your favorite tool in dplyr? Write a brief description of it, in your own words, in a comment

vignette("dplyr")
# my favorite tool is ... it works by...

C. Wrangle some data!

Using the iris dataset and dplyr functions, write code that (1) creates a new column, called area, that is the petal length times the petal width, and (2) calculate the maximum petal area of each species.

iris %>% mutate(area = Petal.Length + Petal.Width) %>% group_by(Species) %>% summarise(maxArea = max(area))