Here is a thorough and authoritative guide to the latest version of the S language and to its
programming environment the premier software platform for computing with data …

Parallel statistical computing is an interesting and topical problem, driven by recent growth
in the size of statistical data sets and the availability of network computing. This article …

Data science is increasingly important and challenging. It requires computational tools and
programming environments that handle big data and difficult computations, while supporting …

Parallel computing means to divide a job into several tasks and use more than one
processor simultaneously to perform these tasks. Assume you have developed a new …

We present a case study in the application of interactive data analysis in the context of
semiconductors and optical fiber manufacturing. Our approach to interactive graphics is …

After extensive studies and many painful experiences we came to the conclusion that there
is no statistics package on the market that combines performance in speed and memory …

This document collects some random thoughts on runtime issues relating to concurrency,
threads, GUI's and the like. Some of this is extracted from recent R-core email threads. I've …

Abstract [CSS+91b, CGSV93, DV99, KPP12, LMA+16, MJF+10, Ném00, CSS+91a,
CSS+91c, Dil00, VDBN98, ZJFA09]. Abstraction [KI16, YDLW20, Bak95b, GSK+18, GPR11 …

We present an approach that allows methods and data from certain languages to be
transparently made available as CORBA servers. Also, methods in remote servers can be …