The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

Class Declaration

Class declaration

ilabelled offers the option of declaring individual vectors or all vectors in a data.frame as an object i_labelled. Additional meta information is added as attributes. Additional information can be viewed transparently using a class-specific print method.

In principle, adding additional information is optional. As mentioned above, the class-specific syntax is intended to encourage meta information to be included.

set.seed(1234)

myVar <- i_labelled(
  x = sample(c(1:3,-9), 50, replace = TRUE), 
  label = "Gender",
  labels = c(
    "A" = 1,
    "B" = 2,
    "C" = 3,
    "X" = -9
  ),
  na_values = -9,
  subject = "Personal information",
  wording = "What is your gender",
  scale = "nominal"
)
myVar
#> <i_labelled double>
#>  [1] -9 -9  2  2  1 -9  3  1  1  2 -9 -9  2  3  2  2  2  3  2 -9  2  2 -9  2 -9
#> [26] -9  1 -9 -9 -9  3 -9  3  3  1  2  1  2  2  3 -9  3 -9 -9 -9  3  3  1  3  2
#> 
#> Wording:
#>  What is your gender
#> 
#> Subject:
#>  Personal information 
#> 
#> Missing values: [-9]
#> 
#> Scale level: nominal
#> 
#> Variable label: 
#>  Gender
#> 
#> Value labels:
#>  value label
#>     -9     X
#>      1     A
#>      2     B
#>      3     C

factor to i_labelled

Value labels are automatically assigned for vectors of class factor. In contrast to the base R factor class, underlying values and labels can be addressed directly for i_labelled objects.

myData <- factor(c(1, 2, 3, NA), levels = 1:3, labels = c("A", "B", "C"))
myData <- i_labelled(myData)
myData
#> <i_labelled double>
#> [1]  1  2  3 NA
#> 
#> Value labels:
#>  value label
#>      1     A
#>      2     B
#>      3     C
myData %in% "A"
#> [1]  TRUE FALSE FALSE FALSE
myData == 1
#> [1]  TRUE FALSE FALSE    NA

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.