Add indentation variable to the results dataframe

Add the indentme variable to your results data. This drives the number of indents for the row label text (e.g. 0, 1, 2, etc.).

Usage

add_indent(df)

Arguments

df

dataframe of results that contains row_type and label and the optional nested_level and group_level variables.

Value

dataframe with the indentme variable added.

Details

The group_level variable, which is added to the results dataframe by freq() and univar() calls, is needed to define indentation when by variables are used for summary.

The nested_level variable, which is added to the results dataframe by nested_freq(), is needed to define indentation for each level of nesting.

Both of these are added to the default indentation which is driven by row_type.

row_type	default indentation
TABLE_BY_HEADER	0
BY_HEADER[1-9]	0
HEADER	0
N	1
VALUE	2
NESTED	0

Examples

df <- tibble::tibble(row_type     =  c("TABLE_BY_HEADER", "HEADER",
       "BY_HEADER1", "N", "VALUE", "COUNTS", "UNIVAR", "NESTED", "NESTED"),
                     nested_level =  c(NA, NA, NA, NA, NA, NA, NA, 1, 2),
                     group_level =  c(0, 0, 0, 0, 0, 0, 0, 0, 0),
                     label        =  c(NA, NA, NA, NA, NA, "N",NA, NA, NA),
                     by           =  c(NA, NA, NA, NA, NA, NA, NA, NA, NA),
                     tableby      =  c(NA, NA, NA, NA, NA, NA, NA, NA, NA))
add_indent(df)
#> # A tibble: 9 × 5
#>   row_type        label by    tableby indentme
#>   <chr>           <chr> <lgl> <lgl>      <dbl>
#> 1 TABLE_BY_HEADER NA    NA    NA             0
#> 2 HEADER          NA    NA    NA             1
#> 3 BY_HEADER1      NA    NA    NA             1
#> 4 N               NA    NA    NA             2
#> 5 VALUE           NA    NA    NA             3
#> 6 COUNTS          N     NA    NA             0
#> 7 UNIVAR          NA    NA    NA             0
#> 8 NESTED          NA    NA    NA             2
#> 9 NESTED          NA    NA    NA             3