Convenience function to paste together multiple columns into one.
Arguments
- data
- A data frame. 
- col
- The name of the new column, as a string or symbol. - This argument is passed by expression and supports quasiquotation (you can unquote strings and symbols). The name is captured from the expression with - rlang::ensym()(note that this kind of interface where symbols do not represent actual objects is now discouraged in the tidyverse; we support it here for backward compatibility).
- ...
- < - tidy-select> Columns to unite
- sep
- Separator to use between values. 
- remove
- If - TRUE, remove input columns from output data frame.
- na.rm
- If - TRUE, missing values will be removed prior to uniting each value.
See also
separate(), the complement.
Examples
data(pbmc_small)
pbmc_small |> unite(
  col="new_col", 
  c("orig.ident", "groups"))
#> # A Seurat-tibble abstraction: 80 × 14
#> # Features=230 | Cells=80 | Active assay=RNA | Assays=RNA
#>    .cell          new_col  nCount_RNA nFeature_RNA RNA_snn_res.0.8 letter.idents
#>    <chr>          <chr>         <dbl>        <int> <fct>           <fct>        
#>  1 ATGCCAGAACGACT SeuratP…         70           47 0               A            
#>  2 CATGGCCTGTGCAT SeuratP…         85           52 0               A            
#>  3 GAACCTGATGAACC SeuratP…         87           50 1               B            
#>  4 TGACTGGATTCTCA SeuratP…        127           56 0               A            
#>  5 AGTCAGACTGCACA SeuratP…        173           53 0               A            
#>  6 TCTGATACACGTGT SeuratP…         70           48 0               A            
#>  7 TGGTATCTAAACAG SeuratP…         64           36 0               A            
#>  8 GCAGCTCTGTTTCT SeuratP…         72           45 0               A            
#>  9 GATATAACACGCAT SeuratP…         52           36 0               A            
#> 10 AATGTTGACAGTCA SeuratP…        100           41 0               A            
#> # ℹ 70 more rows
#> # ℹ 8 more variables: RNA_snn_res.1 <fct>, PC_1 <dbl>, PC_2 <dbl>, PC_3 <dbl>,
#> #   PC_4 <dbl>, PC_5 <dbl>, tSNE_1 <dbl>, tSNE_2 <dbl>