title: Error: function 'Rcpp_precious_remove' not provided by package 'Rcpp'
body: <p>I am trying to implement the example given here: <a href="https://cran.r-project.org/web/packages/multidplyr/vignettes/multidplyr.html" rel="nofollow noreferrer">https://cran.r-project.org/web/packages/multidplyr/vignettes/multidplyr.html</a></p>
  <p>I however get the following error when I get to the point where I need to partition the data using ether method 1 or 2. I have tried re-installing Rcpp package and still doesn't work.</p>
  <p>Error in qs::qsave(values, path, preset = &quot;fast&quot;, check_hash = FALSE,  :
  function 'Rcpp_precious_remove' not provided by package 'Rcpp'</p>
  <p>Below is the code sample:</p>
  <pre><code>library(multidplyr)
  
  library(dplyr, warn.conflicts = FALSE)
  
  library(nycflights13)
  
  ###Creating a cluster
  cluster &lt;- new_cluster(2)
  
  ####Method 1. Add dataPartition not working. Investigate why. Use direct method instead
  # flights1 &lt;- flights %&gt;% group_by(dest) %&gt;% partition(cluster)
  
  # Method 2 To show how that might work, I’ll first split flights up by month and save as csv files:
  path &lt;- tempfile()
  dir.create(path)
  
  flights %&gt;% 
    group_by(month) %&gt;% 
    group_walk(~ vroom::vroom_write(.x, sprintf(&quot;%s/month-%02i.csv&quot;, path, .y$month)))
  
  # Now we find all the files in the directory, and divide them up so that each worker gets (approximately) the same number of pieces:
  
  files &lt;- dir(path, full.names = TRUE)
  cluster_assign_partition(cluster, files = files)
  
  
  # Then we read in the files on each worker and use party_df() to create a partitioned dataframe:
  
  cluster_send(cluster, flights2 &lt;- vroom::vroom(files))
  
  flights2 &lt;- party_df(cluster, &quot;flights2&quot;)
  
  
  ###dplyr verbs. 
  
  df &lt;- flights1 %&gt;%
    summarise(dep_delay = mean(dep_delay, na.rm = TRUE)) %&gt;%
    collect()
  </code></pre>