Types in lambda.r versus classes in S4

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Here’s a quick example of the power of lambda.r and how it simplifies the programming model. On the r-devel mailing list, someone gave an example of extending a class via S4. It looks like this.

setClass("foo", contains = "Date")
setMethod("+", c("foo", "difftime"), function(e1, e2) callNextMethod())

This new class foo can then be used like a Date.

x <- new("foo", as.Date("2013-06-30"))
> dt <- as.difftime(1, units = "days")
> x + dt
[1] "2013-07-01"

Using S4 has always struck me as being way too complicated. I could never remember the syntax, nor did I find it particularly enjoyable to write. On the other hand, with lambda.r, it is easy to extend a native type and make use of it.

Foo(x) %as% as.Date(x)

Usage of this type is also cleaner as the constructor is simpler.

> x <- Foo('2013-06-30')
> dt <- as.difftime(1, units = "days")
> x + dt
[1] "2013-07-01"

This example demonstrates how lambda.r captures one aspect of literate programming by using a syntax that reads like simple exposition.

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