Embedded Files
R Studio has cheatsheets that make it easy to use some of our favorite packages. From time to time, they will add new cheatsheets.
R Studio has cheatsheets that make it easy to use some of our favorite packages. From time to time, they will add new cheatsheets.
Marin: Customizing The Look of R Studio (3:53)
Marin: Customizing The Look of R Studio (3:53)
Marin: Setting Up Working Directory in R (8:25)
Marin: Setting Up Working Directory in R (8:25)
Marin: Writing Scripts in R (6:21)
Marin: Writing Scripts in R (6:21)
Marin: Importing , Checking and Working with Data in R (8:45)
Marin: Importing , Checking and Working with Data in R (8:45)
Marin: Working with Variables and Data in R (8:09)
Marin: Working with Variables and Data in R (8:09)
Adding Comments in R
Adding Comments in R
Comments are generic sentences, mostly written in a program to explain what it does or what a piece of code is supposed to do. More specifically, information that programmer should be concerned with and it has nothing to do with the logic of the code. They are completely ignored by the software and are, thus, never reflected on to the output.
Comments are generic sentences, mostly written in a program to explain what it does or what a piece of code is supposed to do. More specifically, information that programmer should be concerned with and it has nothing to do with the logic of the code. They are completely ignored by the software and are, thus, never reflected on to the output.
Anthony Damico: How to add comments save a script file and make your work reproducible in R (2:01)
Anthony Damico: How to add comments save a script file and make your work reproducible in R (2:01)
Didier Ruedin: Why you should use comments in Rstudio (1:51)
Didier Ruedin: Why you should use comments in Rstudio (1:51)
Code Folding and Sections in the RStudio
Code Folding and Sections in the RStudio
UCDecomodel- Inserting sections into an R script using RStudio (2:19)
UCDecomodel- Inserting sections into an R script using RStudio (2:19)
Pollet- Two quick tips for RStudio: Outline and cheat sheets! (1:52)
Pollet- Two quick tips for RStudio: Outline and cheat sheets! (1:52)
dplyr and Tidyverse - Pipe Operator (Pipe)
dplyr and Tidyverse - Pipe Operator (Pipe)
Piping (pipes or the pipe operator) allows you to take the output of one function and pass it into another function. Essentially, pipes allow you to combine several commands and functions together into one section of code.
Piping (pipes or the pipe operator) allows you to take the output of one function and pass it into another function. Essentially, pipes allow you to combine several commands and functions together into one section of code.
Data Science Tutorials- how to use dplyr pipe operator (6:04)
Data Science Tutorials- how to use dplyr pipe operator (6:04)
Leo Schafer- The Pipe-Operator - %＞% - in R (5:25)
Leo Schafer- The Pipe-Operator - %＞% - in R (5:25)
The tidyverse style guide
The tidyverse style guide
Sean C. Anderson
Sean C. Anderson
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