15 Easy Solutions To Your Data Frame Problems In R.
From the post:
R’s data frames regularly create somewhat of a furor on public forums like Stack Overflow and Reddit. Starting R users often experience problems with the data frame in R and it doesn’t always seem to be straightforward. But does it really need to be so?
Well, not necessarily.
With today’s post, DataCamp wants to show you that data frames don’t need to be hard: we offer you 15 easy, straightforward solutions to the most frequently occurring problems with data.frame. These issues have been selected from the most recent and sticky or upvoted Stack Overflow posts. If, however, you are more interested in getting an elaborate introduction to data frames, you might consider taking a look at our Introduction to R course.
If you are having trouble with frames in R, you are going to have trouble with frames in Spark.
Questions and solutions you will see here:
- How To Create A Simple Data Frame in R
- How To Change A Data Frame’s Row And Column Names
- How To Check A Data Frame’s Dimensions
- How To Access And Change A Data Frame’s Values …. Through The Variable Names
- … Through The [,] and $ Notations
- Why And How To Attach Data Frames
- How To Apply Functions To Data Frames
- How To Create An Empty Data Frame
- How To Extract Rows And Colums, Subseting Your Data Frame
- How To Remove Columns And Rows From A Data Frame
- How To Add Rows And Columns To A Data Frame
- Why And How To Reshape A Data Frame From Wide To Long Format And Vice Versa
- Using stack() For Simply Structured Data Frames
- Using reshape() For Complex Data Frames
- Reshaping Data Frames With
tidyr - Reshaping Data Frames With
reshape2 - How To Sort A Data Frame
- How To Merge Data Frames
- Merging Data Frames On Row Names
- How To Remove Data Frames’ Rows And Columns With NA-Values
- How To Convert Lists Or Matrices To Data Frames And Back
- Changing A Data Frame To A Matrix Or List
Rather than looking for a “cheatsheet” on data frames, suggest you work your way through these solutions, more than once. Over time you will learn the ones relevant to your particular domain.
Enjoy!