Final answer:
The dplyr package in R is the correct choice to use the select function with the tooth growth dataset. dplyr is designed for data manipulation, allowing users to pick specific columns from a dataset.
Step-by-step explanation:
If you are working with the t tooth growth dataseand you want to use the select function to manipulate your data frame by selecting specific columns of data, the correct package to use in R would be A) dplyr. The dplyr package is a part of the tidyverse collection of R packages designed for data science and provides a suite of tools for efficiently manipulating datasets.
To use the select function from dplyr, you would typically load the dplyr package into R with the library function, and then you can call select on your dataset. For example:
library(dplyr)
your_data <- select(tooth_growth_data, length, supp)
This would result in a new data frame called your_data that contains only the columns for tooth length and supplement type from the tooth growth dataset.
Other packages mentioned, such as B) ggplot2, C) tidyr, and D) lubridate are also part of the tidyverse, but they serve different functions such as data visualization, data tidying, and date-time manipulation, respectively.