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rdplyrrowszero

How to remove rows with any zero value


I have a problem to solve how to remove rows with a Zero value in R. In others hand, I can use na.omit() to delete all the NA values or use complete.cases() to delete rows that contains NA values.

Is there anyone know how to remove rows with a Zero Values in R?

For example :

Before

|    DateTime      | Mac1  | Mac2  | Mac3  | Mac4  |
----------------------------------------------------
| 2011-04-02 06:00 | 20    | 0     | 20    | 20    |  
| 2011-04-02 06:05 | 21    | 21    | 21    | 21    |  
| 2011-04-02 06:10 | 22    | 22    | 22    | 22    |  
| 2011-04-02 06:15 | 23    | 23    | 0     | 23    |  
| 2011-04-02 06:20 | 24    | 24    | 24    | 24    | 
| 2011-04-02 06:25 | 0     | 25    | 25    | 0     | 

After

|    DateTime      | Mac1  | Mac2  | Mac3  | Mac4  |
----------------------------------------------------
| 2011-04-02 06:05 | 21    | 21    | 21    | 21    |  
| 2011-04-02 06:10 | 22    | 22    | 22    | 22    |  
| 2011-04-02 06:20 | 24    | 24    | 24    | 24    |  

Solution

  • There are a few different ways of doing this. I prefer using apply, since it's easily extendable:

    ##Generate some data
    dd = data.frame(a = 1:4, b= 1:0, c=0:3)
    
    ##Go through each row and determine if a value is zero
    row_sub = apply(dd, 1, function(row) all(row !=0 ))
    ##Subset as usual
    dd[row_sub,]