Open AccessCriteria for selection of statistical data processing software
Author(s) -
Lina Yordanova,
Gabriela Kiryakova,
Petya Veleva,
Nadezhda Angelova,
Antoaneta Yordanova
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1031/1/012067
Subject(s) - computer science , statistical software , r package , software , software package , statistical analysis , selection (genetic algorithm) , set (abstract data type) , data mining , process (computing) , visualization , data science , machine learning , statistics , mathematics , programming language
There are many statistical software packages that automate the activities related to statistical data processing and visualization of results. Often the choice of a statistical package by consumers is a difficult process and it is necessary to compare different products in order to highlight the most appropriate. The selection of one or another statistical package should be based on clear criteria and be made in accordance with the objectives set by the researchers. In the present work, the criteria for comparing statistical packages are systematized into the three groups and applied to four packages.