Transformations allow you to change how a variable or cube is displayed without changing the underlying data.
Transforms(..., data = NULL)TransformsList(..., data = NULL)
transforms(x)
transforms(x) <- value
# S4 method for CrunchVariable
transforms(x)
# S4 method for VariableTuple
transforms(x)
# S4 method for CrunchVariable,Transforms
transforms(x) <- value
# S4 method for CrunchVariable,`NULL`
transforms(x) <- value
# S4 method for CrunchCube
transforms(x)
# S4 method for VariableCatalog
transforms(x)
# S4 method for CrunchCube,ANY
transforms(x) <- value
# S4 method for CrunchCube,TransformsList
transforms(x) <- value
# S4 method for CrunchCube,`NULL`
transforms(x) <- value
For the constructor function Transforms you can pass
in attributes via ...
For the constructor function Transforms you can either pass in
attributes via ... or you can create the objects with a fully defined
list representation of the objects via the data argument. See the examples.
For the attribute getters and setters, an object of class Transforms
For the setter, the replacement Transforms to insert
The transforms(x) methods can be used with Variables and CrunchCubes to get
what transformations are currently set. For variables, they return a single
Transforms object that includes all transformations for the variable. For
CrunchCubes, it returns a named list with the same length as the number of
dimensions of the cube with each dimension's transformations.
Currently, Insertions (e.g. Subtotal() and Heading()) are the only type of transformations that are supported.
The transforms(x) <- value methods can be used to assign transformations
for a specific variable. value
must be a Transforms object. This allows you to set transformations on
categorical variables. These transformations will automatically show up in
any new CrunchCubes that contain this variable.
The transforms(x) <- value methods can also be used to assign
transformations to a CrunchCube that has already been calculated. value
must be a named list of Transforms objects. The names of this list must
correspond to dimensions in the cube (those dimensions correspondences are
matched based on variable aliases). You don't have to provide an entry for
each dimension, but any dimension you do provide will be overwritten fully.
To remove transformations from a variable or CrunchCube, use
transforms(x) <- NULL.