Subsetting of datatagr objects

The [] and [[]] operators for datatagr objects behaves like for regular data.frame or tibble, but check that labelled variables are not lost, and takes the appropriate action if this is the case (warning, error, or ignore, depending on the general option set via lost_labels_action()) .

Usage

# S3 method for class 'datatagr'
x[i, j, drop = FALSE]

# S3 method for class 'datatagr'
x[i, j] <- value

# S3 method for class 'datatagr'
x[[i, j]] <- value

# S3 method for class 'datatagr'
x$name <- value

Arguments

x

a datatagr object

i

a vector of integer or logical to subset the rows of the datatagr

j

a vector of character, integer, or logical to subset the columns of the datatagr

drop

a logical indicating if, when a single column is selected, the data.frame class should be dropped to return a simple vector, in which case the datatagr class is lost as well; defaults to FALSE

value

the replacement to be used for the entries identified in x

name

a literal character string or a name (possibly backtick quoted). For extraction, this is normally (see under ‘Environments’) partially matched to the names of the object.

Value

If no drop is happening, a datatagr. Otherwise an atomic vector.

See also

• lost_labels_action() to set the behaviour to adopt when labels are lost through subsetting; default is to issue a warning

• get_lost_labels_action() to check the current the behaviour

Examples

if (require(dplyr) && require(magrittr)) {
  ## create a datatagr
  x <- cars %>%
    make_datatagr(
      speed = "Miles per hour",
      dist = "Distance in miles"
    ) %>%
    mutate(result = if_else(speed > 50, "fast", "slow")) %>%
    set_labels(result = "Ticket")
  x

  ## dangerous removal of a labelled column setting it to NULL issues warning
  x[, 1] <- NULL
  x

  x[[2]] <- NULL
  x

  x$age <- NULL
  x
}
#> Warning: The following labelled variables are lost:
#>  speed - Miles per hour
#> Warning: The following labelled variables are lost:
#>  result - Ticket
#> 
#> // datatagr object
#>    dist
#> 1     2
#> 2    10
#> 3     4
#> 4    22
#> 5    16
#> 6    10
#> 7    18
#> 8    26
#> 9    34
#> 10   17
#> 11   28
#> 12   14
#> 13   20
#> 14   24
#> 15   28
#> 16   26
#> 17   34
#> 18   34
#> 19   46
#> 20   26
#> 21   36
#> 22   60
#> 23   80
#> 24   20
#> 25   26
#> 26   54
#> 27   32
#> 28   40
#> 29   32
#> 30   40
#> 31   50
#> 32   42
#> 33   56
#> 34   76
#> 35   84
#> 36   36
#> 37   46
#> 38   68
#> 39   32
#> 40   48
#> 41   52
#> 42   56
#> 43   64
#> 44   66
#> 45   54
#> 46   70
#> 47   92
#> 48   93
#> 49  120
#> 50   85
#> 
#> labelled variables:
#>  dist - Distance in miles