You can use the read.table function to read in a file that contains tabular data into R.
This function uses the following basic syntax:
df <- read.table(file='C:\\Users\\bob\\Desktop\\data.txt', header=FALSE, sep = "")
By default, the read.table function assumes there is no header row in the file and that the values are separated by white space.
However, you can use the header and sep arguments to tell R that the file has a header row and uses a different delimiter.
For example, you could choose to use a comma as a delimiter:
df <- read.table(file='C:\\Users\\bob\\Desktop\\data.txt', header=TRUE, sep=',')
The following step-by-step example shows how to use the read.table function in practice.
Step 1: View the File
Suppose I have a file called data.txt on my Desktop that I’d like to read into R as a data frame:
Step 2: Use read.table() to Read File into Data Frame
Next, let’s use read.table() to read the file into a data frame called df:
#read file from Desktop into data frame df <- read.table(file='C:\\Users\\bob\\Desktop\\data.txt', header=TRUE)
Note that I specified header=TRUE since the first row in the file contains column names.
I also didn’t specify the sep argument since the data in the file is already separated by white space.
Step 3: View the Data Frame
Next, we can view the data frame to ensure that the file was read correctly:
#view data frame print(df) var1 var2 var3 1 1 7 3 2 2 3 7 3 3 3 8 4 4 4 3 5 5 5 2 6 6 7 7 7 9 9 4
We can see that the data frame matches the data in the file.
We can also use the class and dim functions to check the class of the data frame and get the dimensions (number of rows and number of columns):
#check class of data frame class(df)  "data.frame" #check dimensions of data frame dim(df)  7 3
We can see that df is indeed a data frame and has 7 rows and 3 columns.
The following tutorials explain how to read other types of files into R: