Search results
Results from the WOW.Com Content Network
There are a few reviews of free statistical software. There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics of software, such as ease of use, having a number of statistical procedures and ability to develop new procedures.
Ploticus – software for generating a variety of graphs from raw data; PSPP – A free software alternative to IBM SPSS Statistics; R – free implementation of the S (programming language) Programming with Big Data in R (pbdR) – a series of R packages enhanced by SPMD parallelism for big data analysis; R Commander – GUI interface for R
1 ISO 1 – ISO 19999. 2 ISO 20000 ... Download as PDF; Printable version; In other projects ... Statistics; Cookie statement; Mobile view; Search.
The ISO standard documents were published between 1999 and 2002 in several installments, the first one consisting of multiple parts. Unlike previous editions, the standard's name used a colon instead of a hyphen for consistency with the names of other ISO standards. The first installment of SQL:1999 had five parts: SQL/Framework ISO/IEC 9075-1:1999
Download as PDF; Printable version; In other projects Wikidata item; Appearance. move to sidebar hide. Help ... Free Bayesian statistics software (9 P) E.
JASP (Jeffreys’s Amazing Statistics Program [2]) is a free and open-source program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS .
ISO 18542-1:2012 Part 1: General information and use case definition; ISO 18542-2:2014 Part 2: Standardized process implementation requirements, Registration Authority; ISO 18562 Biocompatibility evaluation of breathing gas pathways in healthcare applications ISO 18562-1:2017 Part 1: Evaluation and testing within a risk management process
The software was created in 1980 by Dr. Neil W. Polhemus while on the Princeton University School of Engineering and Applied Science faculty as a teaching tool for his statistics students. It was made available to the public in 1982, becoming an early example of data science software designed for use on the PC.