How to Delete Rows in R? Explained with Examples (2024)

R provides a subset() function to delete or drop a single row/multiple rows from the DataFrame (data.frame), you can also use the notation [] and -c() to delete the rows. In this article, we will discuss several ways to delete rows from the DataFrame. We can delete rows from the data frame in the following ways:

1. Delete Single/Multiple Rows from a DataFrame by row index
2. Delete Multiple Rows from a DataFrame by row name
3. Delete Rows by Condition

Note that R doesn’t have a function that deletes the Rows from the R DataFrame however, we should use a subsetting way to drop rows. For example, to delete the second and third row in R, You can use -c(1, 3), and it will return the DataFrame without the first and third rows.

1. Quick Examples of Delete Rows

Below are some quick examples of deleting or dropping rows from the R DataFrame.

# Below are the qucik examples# Exampe 1: delete 4th rowdf2 <- df[-4,]# Exampe 2: delete 4th,5th and 1st rowsdf2 <- df[-c(4,5,1),]# Exampe 3: delete rows by rangedf2 <- df[-(1:3),]# Exampe 4: delete rows by namedf2 <- df[!(row.names(df) %in% c("1","2")),]# Exampe 5:Remove rows with column id less than equal 2df2 <- subset(df,id > 2 )

Let’s create a DataFrame with 5 rows and 3 columns.

# Create dataframe with 5 rows and 3 columnsdf = data.frame(id=c(1,2,3,4,5), name=c('sravan','srinu','chrisa','shivgami','jim'), gender=c('m','m','f','f','m'))# Display dataframedf

Yields below output.

2. Delete Rows by Index from the R DataFrame

To delete single row/multiple rows from R DataFrame(data.frame) you can use [] notation with the negative row index. Here, we delete only a single row from the R DataFrame using the row index number. The row number starts with 1.

Syntax:

# Syntaxdf[-row_index,]

Where df is the DataFrame from where you want to delete the row? Note that this doesn’t remove from the existing DataFrame so you need to assign it to another DataFrame to get the desired result.

Let’s remove the specified row by using its corresponding row_index.

# Remove specified row by index df2 <- df[-4,]df2

Output:

In the above code, we have deleted the 4th row and returned a new DataFrame with the remaining rows.

3. Delete Multiple Rows from the R DataFrame

You can also delete multiple rows by row index. For that, you can specify indexes of rows that you want to delete from DataFrame using a c() function. This function creates a vector containing the row numbers you want to exclude from the data frame df. The - sign before c(...) is used to remove those specific rows from the data frame.

Syntax:

# Syntaxdf[-c(row_number1,row_number2,.........),]

Example:

In this example, we will delete multiple rows at a time.

#delete 4th,5th and 1st rowsdf2 <- df[-c(4,5,1),]df2

Output:

# Output id name gender2 2 srinu m3 3 chrisa f

In the above code, we have deleted the 4th, 5th, and 1st rows at a time. so the output will be the remaining rows present in the data frame.

4. Delete Rows by Range

You can also delete rows by range using bracket notation. The following example drops all rows from row number 1 and 3.

# delete rows by rangedf2 <- df[-(1:3),]df2

Output:

# Output id name gender4 4 shivgami f5 5 jim m

5. Delete Rows by Row Name

In our DataFrame we don’t have custom row names instead row names are the same as row index numbers due to default behavior. If you have row names then you may need to delete rows by name. The below example demonstrates how you can do this.

# delete rows by namedf2 <- df[!(row.names(df) %in% c("1","2")),]df2

Output:

# Output id name gender3 3 chrisa f4 4 shivgami f5 5 jim m

6. Delete Rows by Condition

In this scenario, we are selecting only a particular row from a data frame based on the condition, this way, we can ignore the rows from the data frame that fails the condition using the subset() method. This method takes two parameters data frame object and the condition.

Syntax:

# Syntaxsubset(df,condition )

In this example, we will apply different conditions.

# Remove rows with column id less than equal 2df2 <- subset(df,id > 2 )df2# Remove rows where gender not equal to 'm'df2 <- subset(df,gender=='m' )df2

Output:

# Output 1 id name gender3 3 chrisa f4 4 shivgami f5 5 jim m# Output 2 id name gender1 1 sravan m2 2 srinu m5 5 jim m

In the above code

• Output 1 – Selectedrowsbasedonthe idcolumnsuchthatvaluesintherowaregreaterthan2.
• Output 2 – Selectedrowsbasedongendercolumnsuchthatvaluesintheroware equalto‘m’.

Frequently Asked Questions on Delete Rows in R

7. Conclusion

In this article, we have seen three methods to delete or drop single and multiple rows from the DataFrame in R language, Based on the requirement of your application, you can use any of the above-discussed methods.

Related Articles

• Sort R DataFrame Rows by Multiple Columns
• How to Delete File or Directory in R?
• R Sort DataFrame Rows by Column Value
• How to Drop Columns by Name in R?
• R Remove From Vector with Examples
• How to Remove Duplicate Rows in R
• How to Remove Rows with NA in R

References

• https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/subset