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Split a <tibble> by Groups with Named List Output

Source: R/tidyverse.R
named_group_split.Rd

This function takes a <tibble>, groups it by one or more variables, and splits the grouped data into a list. The resulting list has names derived from the unique combinations of the grouping variables.

Usage

named_group_split(df, ...)

Arguments

df

<tibble> or <data.frame> to split

...

One or more unquoted variables by which to group and then split df. Variables can be separated by commas.

Value

named <list> of tibbles, the names of which are derived from the unique combinations of grouping variables, separated by "_".

See also

Other tidyverse: columns_to_character(), gchop(), glue_chr(), glue_data_chr(), search_for()

Examples

(x <- dplyr::tibble(
  zip = c("Data_Weekly.zip",
        "Data_Weekly.zip",
        "Data_April.zip",
        "Deactivated.zip"),
  file = c(
    "npidata.csv",
    "npidata2.csv",
    "endpoint.csv",
    "Deactivated.xlsx")))
#> # A tibble: 4 × 2
#>   zip             file            
#>   <chr>           <chr>           
#> 1 Data_Weekly.zip npidata.csv     
#> 2 Data_Weekly.zip npidata2.csv    
#> 3 Data_April.zip  endpoint.csv    
#> 4 Deactivated.zip Deactivated.xlsx

named_group_split(x, zip)
#> $Data_April.zip
#> # A tibble: 1 × 2
#>   zip            file        
#>   <chr>          <chr>       
#> 1 Data_April.zip endpoint.csv
#> 
#> $Data_Weekly.zip
#> # A tibble: 2 × 2
#>   zip             file        
#>   <chr>           <chr>       
#> 1 Data_Weekly.zip npidata.csv 
#> 2 Data_Weekly.zip npidata2.csv
#> 
#> $Deactivated.zip
#> # A tibble: 1 × 2
#>   zip             file            
#>   <chr>           <chr>           
#> 1 Deactivated.zip Deactivated.xlsx
#>