title: ERROR when using count in R which was working before
body: <p>i used <code>count</code> in order to count the same rows and get the frequency and it was working very well like 2 hours ago and now it's giving me an ERROR that i do not understand. I wanted that every time i have the same row, add the concentration of these rows. Here is my toy data and my function.</p>
  <pre><code>df=data.frame(ID=seq(1:6),A=rep(0,6),B=c(rep(0,5),1),C=c(rep(1,5),0),D=rep(1,6),E=c(rep(0,3),rep(1,2),0),concentration=c(0.002,0.004,0.001,0.0075,0.00398,0.006))
   df
    ID A B C D E concentration
  1  1 0 0 1 1 0       0.00200
  2  2 0 0 1 1 0       0.00400
  3  3 0 0 1 1 0       0.00100
  4  4 0 0 1 1 1       0.00750
  5  5 0 0 1 1 1       0.00398
  6  6 0 1 0 1 0       0.00600
  
  freq.concentration=function(df,Vars){
    df=data.frame(df)
    Vars=as.character(Vars)
    compte=count(df,Vars)
    frequence.C= (compte$freq)/nrow(df)
    output=cbind(compte,frequence.C)
    return(output)
  }
  
  freq.concentration(df,colnames(df[2:6]))
  
  # and here is the error that i get when i run the function which was working perfectly a while ago!
  #  Error: Must group by variables found in `.data`.
  # * Column `Vars` is not found.
  # Run `rlang::last_error()` to see where the error occurred. 
  </code></pre>
  <p>PS: I do not know if this is related or not but i got this problem when i opened a script Rmd and did copy paste all my function to this script and all of a sudden my function stopped working .
  I really appreciate your help in advance. Thank you.</p>
  <p>Here is the output that i had when it was working properly :</p>
  <pre><code>
   output
    ID A B C D E  concentration.C.1 concentration.C.2
  1  1 0 0 1 1 0          3                0.007
  2  4 0 0 1 1 1          2                0.01148
  3  6 0 1 0 1 0          1                0.00600
  
  
  
  </code></pre>
  <p>The first 3 rows are similar so we sum the concentration of the 3 and get 0.007, and then rows 4 and 5 are the same so we add their concentration and get 0.01148 and the last row is unique so the concentration remains the same.</p>