Files that end with an .rda extension represent Rdata files.
You can use the save() function to save these types of files in R:
And you can use the load() function to load these types of files in R:
The following example shows how to use each of these functions in practice.
Example: Save and Load RDA Files in R
Suppose we create the following data frame in R:
#make this example reproducible set.seed(0) #create data frame df <- data.frame(x=rnorm(100), y=rnorm(100), z=rnorm(100)) #view data frame head(df) x y z 1 1.2629543 0.7818592 -1.0457177 2 -0.3262334 -0.7767766 -0.8962113 3 1.3297993 -0.6159899 1.2693872 4 1.2724293 0.0465803 0.5938409 5 0.4146414 -1.1303858 0.7756343 6 -1.5399500 0.5767188 1.5573704
We can use the save() function to save this data frame to an .rda file:
This file will automatically be saved in the current working directory. You can find the working directory by using the getwd() function:
#display working directory getwd() "C:/Users/Bob/Documents"
Now suppose we use the rm() function to remove the data frame from the current R environment:
#remove data frame from current R environment rm(df)
If we look at our current environment in RStudio, we’ll see that it doesn’t contain any objects:
We can then use the load() function to load the .rda file into the current R environment:
If we look at the current environment again in RStudio, we’ll see that it now contains the data frame:
The following tutorials explain how to read other types of files in R:
How to Import CSV Files into R
How to Import Excel Files into R
How to Import TSV Files into R