R/AllClasses.R, R/AllGenerics.R, R/insertions.R
Insertions.RdInsertions allow you to insert new categories into a categorical-like response on a variable's transformations.
Insertions(..., data = NULL)
Insertion(...)
.Insertion(..., data = NULL)
anchor(x, ...)
anchors(x)
anchor(x) <- value
arguments(x, ...)
arguments(x) <- value
func(x)
funcs(x)
# S4 method for class 'Insertion'
anchor(x) <- value
# S4 method for class 'Subtotal'
anchor(x) <- value
# S4 method for class 'Heading'
anchor(x) <- value
# S4 method for class 'SummaryStat'
anchor(x) <- value
# S4 method for class 'Insertion,ANY'
subtotals(x) <- value
# S4 method for class 'Insertion'
arguments(x) <- value
# S4 method for class 'Subtotal'
arguments(x) <- value
# S4 method for class 'Heading'
arguments(x) <- value
# S4 method for class 'SummaryStat'
arguments(x) <- value
# S4 method for class 'Insertion'
arguments(x)
# S4 method for class 'Subtotal'
arguments(x, var_items)
# S4 method for class 'Heading'
arguments(x)
# S4 method for class 'SummaryStat'
arguments(x, var_items)
# S4 method for class 'Insertion'
anchor(x, ...)
# S4 method for class 'Subtotal'
anchor(x, var_items)
# S4 method for class 'Heading'
anchor(x, var_items)
# S4 method for class 'SummaryStat'
anchor(x, var_items)
# S4 method for class 'Insertion'
func(x)
# S4 method for class 'Subtotal'
func(x)
# S4 method for class 'Heading'
func(x)
# S4 method for class 'SummaryStat'
func(x)
# S4 method for class 'Insertions'
anchors(x)
# S4 method for class 'Insertions'
funcs(x)additional arguments to [, ignored
For the constructor functions Insertion and
Insertions, 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 Insertion or Insertions
For [<-, the replacement Insertion to insert
categories (from categories()) or subvariables (from
subvariables() to used by the arguments and anchor methods when
needed to translate between category/subvariable names and category
ids/aliases.
Insertions are used to add information about a variable or CrunchCube that extends the data in the dataset but does not alter it. This new data includes: aggregations like subtotals that sum the count of more than on category together or headings which can be added between categories.
Insertions objects are containers for individual Insertion objects. The
individual Insertions contain all the information needed to calculate,
apply, and display insertions to CrunchCubes and categorical variables.
An Insertion must have two properties:
anchor - which is the id of the category the insertion should follow
name - the string to display
Additionally, Insertions may also have the following two properties (though
if they have one, they must have the other):
function - the function to use to aggregate (e.g. "subtotal")
args - the category ids to use as operands to the function above.
Although it is possible to make both subtotals and headings using Insertion
alone, it is much easier and safer to use the functions
Subtotal() and Heading() instead.
Not only are they more transparent, they also are quicker to type, accept
both category names as well as ids, and have easier to remember argument
names.