All notable changes to this project will be documented in this file. This change log follows the conventions of keepachangelog.com.
require-r
can :refer :all
now- REXPList, REXPNull are supported in data conversion
- changed the API for setting up and switching backends ("session-types")
- also fixed #27 by loading the renjin Jar on-the-fly with the proper repository into
The main changes on the user side are the fact that R functions are Clojure functions, and the initial suppoort for a Renjin backend. Details below:
- performance improvement: using an R environment rather than an R list for session memory
- some refactoring to allow other kinds of R backends, in particular exending the Session protocol to take care of details such as printing and package in spection
- more careful id management of sessions
- checking the object class on creation of R objects
- being careful when printing objects of lost sessions
- R objects now extend the IFn inerface, so that R functions are Clojure functions
- bugfix in regreshing objects across sessions
- simplified the implementation of
require-r
-- functions can now be handled as regular objects - handling of strange symbols/keywords: refactored a bit, added some filtering
- initial support of a Renjin (pure-JVM R) backend
- handling failures in
require-r
- changes in logging
- handling unhandled cases in java->naive-clj conversion
- loading data, not only functions, at
require-r
require-r
optimization: all underlying robjects are created once, then bound to namespaces- more careful handling of data conversion of list names: names with reader special characters are not converted to keywords
- added '$ as binary operator
- performance bugfix: using native double array and type hint when conferting integer R vectors with missing values to clj
- recognizing reticulate python functions as functions
- bugfix in overriding default session args
Initial v1 version.
Main developments since earlier versions:
- code generation
- changes in error handling, printing, etc.
- requiring of R packages inspired by the python interop story (though less sophisticated)
- function call syntax a bit different (no detailed function signatures yet)
- documentation and tests using notespace
Initial draft version