filmov
tv
R 1-6 The readr Package for Importing Delimited Data

Показать описание
Describes delimited data ideas and how to read in that data using the readr package from the tidyverse. The differences between a data frame and a tibble are also outlined.
This video is part of a free, open, non-credit course available from the Department of Statistics at North Carolina State University. The course is meant to provide training to our current graduate students on the basics of R so that learning how to use R doesn’t hinder their learning in the courses that use R in our programs.
Course Goals: This course is designed to demonstrate the basic use of R for reading, manipulating, and plotting data using RStudio. Helpful programming techniques such as looping and function writing are also discussed.
By the end of this course students will be able to:
- read and write R programs
- import well-formatted raw data into R using the tidyverse
- complete common data manipulation tasks in R using the tidyverse
- produce numerical and graphical summaries in R
- improve R programs using loops, vectorized functions, and user-created functions
If you'd like to join the course, enrollment information is available here:
The full playlist of videos can be found here:
More about the NC State Statistics program can be found here:
More about our Online Master of Statistics and Online Graduate Certificate programs can be found here:
This video is part of a free, open, non-credit course available from the Department of Statistics at North Carolina State University. The course is meant to provide training to our current graduate students on the basics of R so that learning how to use R doesn’t hinder their learning in the courses that use R in our programs.
Course Goals: This course is designed to demonstrate the basic use of R for reading, manipulating, and plotting data using RStudio. Helpful programming techniques such as looping and function writing are also discussed.
By the end of this course students will be able to:
- read and write R programs
- import well-formatted raw data into R using the tidyverse
- complete common data manipulation tasks in R using the tidyverse
- produce numerical and graphical summaries in R
- improve R programs using loops, vectorized functions, and user-created functions
If you'd like to join the course, enrollment information is available here:
The full playlist of videos can be found here:
More about the NC State Statistics program can be found here:
More about our Online Master of Statistics and Online Graduate Certificate programs can be found here:
Комментарии