I am using the separate  function from tidyverse  to split the first column of this tibble :
# A tibble: 6,951 x 9
   Row.names                    Number_of_analysis~ DL_Minimum DL_Mean DL_Maximum Number_of_measur~ Measure_Minimum Measure_Mean Measure_Maximum
   <I<chr>>                                   <dbl>      <dbl>   <dbl>      <dbl>             <dbl>           <dbl>        <dbl>           <dbl>
 1 2011.FACILITY.PONT-À-CELLES                  52       0.6    1.81        16                   0             0          0                 0  
 2 2011.FACILITY.PONT-À-CELLES                  52       0.07   0.177        1.3                 0             0          0                 0  
 3 2011.FACILITY.CHARLEROI                      52       0.07   0.212        1.9                 0             0          0                 0  
 4 2011.FACILITY.CHARLEROI                      52       0.08   0.209        2                   0             0          0                 0  
Merge_splitnames <- Merge %>% 
  separate(Row.names,sep = "\\.",into = c("Year", "Catchment", "Locality"), extra = "drop")
While everything seems correct, the output is a tibble without the first 2 columns (the ones which have a name comprising an accent in French) :
# A tibble: 6,951 x 9
   Year    Catchment    Locality                    Number_of_analysis~ DL_Minimum DL_Mean DL_Maximum Number_of_measur~ Measure_Minimum Measure_Mean Measure_Maximum
   <I<chr>>                                   <dbl>      <dbl>   <dbl>      <dbl>             <dbl>           <dbl>        <dbl>           <dbl>
 3 2011    FACILITY     CHARLEROI                      52       0.07   0.212        1.9                 0             0          0                 0  
 4 2011    FACILITY     CHARLEROI                      52       0.08   0.209        2                   0             0          0                 0  
Any idea how to deal with this issue ? I wish to keep the real name in French (with the accent). This is quite surprising for me, I've never got any issue with all the other functions from tidyverse.
NB : this is a simple and reproducible example, my real tibble is about 100 times bigger
 
     
    