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Stata (/ ˈ s t eɪ t ə /, [2] STAY-ta, alternatively / ˈ s t æ t ə /, occasionally stylized as STATA [3] [4]) is a general-purpose statistical software package developed by StataCorp for data manipulation, visualization, statistics, and automated reporting.
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 There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics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
Ooms, Marius (2009). "Trends in Applied Econometrics Software Development 1985–2008: An Analysis of Journal of Applied Econometrics Research Articles, Software Reviews, Data and Code". Palgrave Handbook of Econometrics. Vol. 2: Applied Econometrics. Palgrave Macmillan. pp. 1321– 1348. ISBN 978-1-4039-1800-0. Renfro, Charles G. (2004).
Free plotting software (30 P) W. Free web analytics software (7 P) Pages in category "Free statistical software" The following 56 pages are in this category, out of ...
Stata: Proprietary: No 1985: June 6, 2017 / 15.0: Statistics Statgraphics: GUI: Proprietary: No 1980: July 2015 / 17.1.08 Windows: Statistical software package for exploratory data analysis, dynamic data visualization, statistical modeling, design of experiments, time series forecasting, quality improvement and Six Sigma. Statistical Lab: Yes ...
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SPSS and Stata, meanwhile, were both easier to learn but had less capable analytic abilities, though these could be expanded with paid (in SPSS) or free (in Stata) add-ons. Acock concluded that SAS was best for power users , while occasional users would benefit most from SPSS and Stata. [ 85 ]