The .keep_all function is used to retain all other variables in the output data frame. Sunny. . Rather, you write code that will return a copy of the data with the rows removed. The syntax is shown below: To summarize: In this tutorial you learned how to exclude specific rows from a data table or matrix in the R programming language. In the section below we will walk through several examples of how to remove rows with NAs (missing values). See screenshot: Easily delete all rows if zero values exist in a certain range in Excel: Kutools for Excel's Select Specific Cells utility helps you to easily select entire rows if zero values exist in a certain range, and then you can quickly delete all selected rows manually without any mistakes. cbaker. As always with R, there is more than one way of achieving your goal. But how about hundreds of rows containing zero needed to be removed? You can choose one of the tricky ways below to solve it. In the Microsoft Visual Basic for Applications window, click Insert > Module, then copy and paste the following VBA code into the module window. Forum Posts: 3. 2. In order to drop a null values from a dataframe, we used dropna() function this function drop Rows/Columns of datasets with Null values in different ways. 3. The omit function can be used to quickly drop rows with missing data. 3. 3. This didn't work for me. Because R is a functional programming language, you don't usually delete rows. In this dataset, all the duplicate rows are eliminated so it returns the unique rows in mydata. A nice capacity of this function that is very useful when removing rows with NAs (missing values), is that it allows to pass a whole dataframe, or if you want, you can just pass a single column. To remove rows of a dataframe with one or more NAs, use complete.cases() function as shown below Then a drop-down arrow is displaying in the first cell of the selected column, click the arrow, and then select Number Filters > Equals from the drop-down list. Remove Row with NA from Data Frame in R; Extract Row from Data Frame in R; Add New Row to Data Frame in R; The R Programming Language . There are other methods to drop duplicate rows in R one method is duplicated() which identifies and removes duplicate in R. The other method is unique() which identifies the unique values. Distinct function in R is used to remove duplicate rows in R using Dplyr package. 1. It deletes all rows with a Zero in the 10s position. But thanks for the reply. Lets first create the dataframe. Syntax: DataFrame.dropna(axis=0, how=’any’, thresh=None, subset=None, inplace=False) See screenshot: 2. I must be doing something wrong! Please let me know in the comments, in case you have further questions. Let us create a dataframe, DF1 Sub DeleteRow() Dim r As Long Dim LastRow As Long LastRow = Cells(Rows.Count, "A").End(xlUp).Row For r = LastRow To 1 Step -1 If Cells(r, 1) = 0 Then Rows(r).Delete End If Next r End Sub. . How to Remove Empty Rows in R. A common condition for deleting blank rows in r is Null or NA values which indicate the entire row is effectively an empty row. I want to remove the repeated rows and want to keep only one using awk. We will be using the following dataframe  to depict the above functions. See screenshot: 5. 4. takes up the column name as argument and results in identifying unique value of the particular column as shown below, so the dataframe with unique values of the NAME column will be, For Further understanding on how to drop duplicate rows in R using Dplyr one can refer dplyr documentation. Download and try it now! See screenshot: If you want to have a free trial ( 30-day) of this utility, please click to download it, and then go to apply the operation according above steps. You can click Data > Filter again to show all data without zero value cells. You can assign this copy to the same name as the old data, effectively overwriting it.