title: Remove rows from dataframe if they contain a certain value (R ,dplyr)
body: <p>I have a dataframe, df. I would like to remove all rows that contain the value 0 from the dataframe.</p>
  
  <pre><code>  ID     Value
  
    A      8
    A      8
    A      0
    B      1
    B      2
    C      0
  </code></pre>
  
  <p>Desired outcome:</p>
  
  <pre><code> ID     Value
  
   A      8
   A      8
   B      1
   B      2
  </code></pre>
  
  <p>Here is the dput:</p>
  
  <pre><code> structure(list(ID = structure(c(1L, 1L, 1L, 2L, 2L, 3L), .Label = c("A", 
   "B", "C"), class = "factor"), Value = c(8L, 8L, 0L, 1L, 2L, 0L
   )), class = "data.frame", row.names = c(NA, -6L))
  </code></pre>
  
  <p>This is what I tried:</p>
  
  <pre><code> I was using the same concept to remove a column:
  
   library(dplyr)
   df%&gt;% select(-c() 
  
   However, I am unsure how to specify how to remove the row if and only if it contains a 0.
  </code></pre>