1. Dependently Typing R Vectors, Arrays, and Matrices
- Author
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Wrenn, John, Pal, Anjali, VanHattum, Alexa, Krishnamurthi, Shriram, Wrenn, John, Pal, Anjali, VanHattum, Alexa, and Krishnamurthi, Shriram
- Abstract
The R programming language is widely used in large-scale data analyses. It contains especially rich built-in support for dealing with vectors, arrays, and matrices. These operations feature prominently in the applications that form R's raison d'\^etre, making their behavior worth understanding. Furthermore, ostensibly for programmer convenience, their behavior in R is a notable extension over the corresponding operations in mathematics, thereby offering some challenges for specification and static verification. We report on progress towards statically typing this aspect of the R language. The interesting aspects of typing, in this case, warn programmers about violating bounds, so the types must necessarily be dependent. We explain the ways in which R extends standard mathematical behavior. We then show how R's behavior can be specified in LiquidHaskell, a dependently-typed extension to Haskell. In the general case, actually verifying library and client code is currently beyond LiquidHaskell's reach; therefore, this work provides challenges and opportunities both for typing R and for progress in dependently-typed programming languages., Comment: 10 pages
- Published
- 2023