Create templates for use by
alike. Currently somewhat
experimental; behavior may change in future.
abstract(x, ...) ## S3 method for class 'data.frame' abstract(x, ...) ## Default S3 method: abstract(x, ...) ## S3 method for class 'array' abstract(x, ...) ## S3 method for class 'matrix' abstract(x, ...) ## S3 method for class 'list' abstract(x, ...) ## S3 method for class 'lm' abstract(x, ...) ## S3 method for class 'environment' abstract(x, ...) ## S3 method for class 'ts' abstract(x, what = c("start", "end", "frequency"), ...)
the object to abstract
arguments for methods that require further arguments
for time series which portion of the
abstract is intended to create templates for use by
alike. The result of abstraction is often a partially
specified object. This type of object may not be suited for use in typical
R computations and may cause errors (or worse) if you try to use them as
normal R objects.
There is no guarantee that the
abstracted object is suitable for use
as a template to
alike as is. You may need to modify it further so
that it suits your purposes.
abstract is an S3 generic. The default method will
dispatch on implicit classes, so if you attempt to
abstract an object
without an explicit
abstract method, it will get abstracted based on
its implicit class. If you define your own
abstract method and do not
wish further abstraction based on implicit classes do not use
S4 and RC objects are returned unchanged.
alike will treat time series parameter components with zero in
them as wildcards. This function allows you to create these wild card time
series attributes since R does not allow direct creation/modification of
ts attributes with zero values.
Make sure you do not try to use the templates you create with this for
anything other than as
alike templates since the result is
likely undefined given R expects non zero values for the
attribute and attempts to prevent such attributes.
iris.tpl <- abstract(iris) alike(iris.tpl, iris[1:10, ]) alike(iris.tpl, transform(iris, Species=as.character(Species))) abstract(1:10) abstract(matrix(1:9, nrow=3)) abstract(list(1:9, runif(10)))
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