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9.4 / July 10, 2013; 4 years ago ( 2013-07-10) Written in, /, Website SAS (previously 'Statistical Analysis System' ) is a software suite developed by for advanced analytics, and. SAS was developed at from 1966 until 1976, when SAS Institute was incorporated.

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SAS was further developed in the 1980s and 1990s with the addition of new statistical procedures, additional components and the introduction of. A point-and-click interface was added in version 9 in 2004.

A product was added in 2010. Contents. Technical overview and terminology SAS is a software suite that can mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it. SAS provides a graphical point-and-click user interface for non-technical users and more advanced options through the.

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SAS programs have DATA steps, which retrieve and manipulate data, and PROC steps, which analyze the data. Each step consists of a series of statements.

The DATA step has executable statements that result in the software taking an action, and declarative statements that provide instructions to read a data set or alter the data's appearance. The DATA step has two phases: compilation and execution. In the compilation phase, declarative statements are processed and syntax errors are identified.

Afterwards, the execution phase processes each executable statement sequentially. Data sets are organized into tables with rows called 'observations' and columns called 'variables'. Additionally, each piece of data has a descriptor and a value. The PROC step consists of PROC statements that call upon named procedures. Procedures perform analysis and reporting on data sets to produce statistics, analyses, and graphics. There are more than 300 procedures and each one contains a substantial body of programming and statistical work.

PROC statements can also display results, sort data or perform other operations. SAS macros are pieces of code or variables that are coded once and referenced to perform repetitive tasks.

SAS data can be published in HTML, PDF, Excel and other formats using the Output Delivery System, which was first introduced in 2007. The SAS Enterprise Guide is SAS's point-and-click interface. It generates code to manipulate data or perform analysis automatically and does not require SAS programming experience to use. The SAS software suite has more than 200 components Some of the SAS components include.

See also: In a 2005 article for the comparing statistical packages from SAS and its competitors and, Alan C. Acock wrote that SAS programs provide 'extraordinary range of data analysis and data management tasks,' but were and learn. SPSS and Stata, meanwhile, were both easier to learn (with better documentation) 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, while occasional users would benefit most from SPSS and Stata. A comparison by the, gave similar results. Competitors such as and advertise their products as considerably cheaper than SAS'.

In a 2011 comparison, Doug Henschen of found that start-up fees for the three are similar, though he admitted that the starting fees were not necessarily the best basis for comparison. SAS' business model is not weighted as heavily on initial fees for its programs, instead focusing on revenue from annual subscription fees. Adoption According to IDC, SAS is the largest market-share holder in 'advanced analytics' with 35.4 percent of the market as of 2013. It is the fifth largest market-share holder for software with a 6.9% share and the largest independent vendor. It competes in the BI market against conglomerates, such as, and. SAS has been named in the Gartner Leader's Quadrant for Data Integration Tool and for Business Intelligence and Analytical Platforms.

A study published in 2011 in found that SAS was used in 42.6 percent of data analyses in health service research, based on a sample of 1,139 articles drawn from three journals. See also., also from. References.

Retrieved 5 July 2017. ^ 'Encyclopedia of Research Design Encyclopedia of research design'. ^ SAS Institute Inc. And World Programming Limited (England and Wales High Court (Chancery Division) July 23, 2010). Delwiche; Susan J.

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'Basic Statistics using SAS Enterprise Guide'. Journal of the Royal Statistical Society, Series A (Statistics in Society). 172 (2): 530. Schermerhorn (11 October 2011). John Wiley & Sons. ^ Spector, Phil. University of California, Berkeley.

Archived from (PDF) on October 12, 2013. Retrieved October 4, 2013. Chapman, David (2012). Hallahan, C. 'Data Analysis Using SAS'.

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Shepley; Greenberg, Bernard G.; Cox, Gertrude M.; Mason, David D.; Grizzle, James E.; Johnson, Norman L.; Jones, Lyle V.; Monroe, John; Simons, Gordon D. 'Statistical Training and Research: The University of North Carolina System'. International Statistical Review / Revue Internationale de Statistique. 46 (2): 171. ^ Alan Agresti; Xiao-Li Meng (2 November 2012). ^ (PDF), Presented at Duke University, April 12, 2000, retrieved September 28, 2011. Dalesio, Emery (May 5, 2001).

Associated Press. Retrieved April 8, 2014. Kaplan, David (January 22, 2010). Retrieved April 8, 2014. March 3, 2011. Retrieved October 17, 2011. ^ Barr, Anthony; James Goodnight (1976).

'The SAS Staff'. SAS 72 and SAS 76 are attributed to Barr, Goodnight, Service, Perkins, and Helwig. (Barr & Goodnight et al. 1979:front matter) Attribution of the development of various parts of the system to Barr, Goodnight, and Sall.

^, Oral Histories of the American South, July 22, 1999, retrieved April 8, 2014. ^ Aster, Rick. Global Statements.

Retrieved October 4, 2013. Barr, Anthony; James Goodnight; James Howard (1971).

North Carolina State University. Retrieved October 3, 2013. Service, Jolayne (1972). North Carolina State University. Shacklett, Mary (September 5, 2013). The New Republic.

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S.; Geist, L. BMC Health Services Research. Further reading. Greenberg, Bernard G.;; Mason, David D.; Grizzle, James E.; Johnson, Norman L.; Jones, Lyle V.; Monroe, John; Simmons, Gordon D., Jr.

Shepley, ed. International Statistical Review. 46 (2): 171–207.: External links Wikiquote has quotations related to: Wikibooks has a book on the topic of:.

Applies to: Azure Information Protection, Office 365 Use the following tables to identify the applications and solutions that natively support the Azure Rights Management service (Azure RMS), which provides the data protection for Azure Information Protection. For these applications and solutions, Rights Management support is tightly integrated by using the Rights Management APIs to support usage restrictions. These applications and solutions are also known as 'RMS-enlightened.' Unless stated otherwise, the supported capabilities apply to both Azure RMS and AD RMS. In addition, AD RMS support on iOS, Android, macOS, and Windows Phone 8.1 requires.

RMS-enlightened applications The following table displays RMS-enlightened client applications from Microsoft and software vendors. Information about the table columns:. Protected PDF: These files can have a.pdf or.ppdf file name extension. Email: The email clients that are listed can protect the email message itself, which automatically protects any attached Office files that are not already protected. In this scenario, the client’s preview feature can display the protected content (message and attachment) to authorized recipients. However, if an email message itself is not protected but the attachment is protected, the client’s preview feature cannot display the protected attachment to authorized recipients.

Other file types: Text and image files include files that have a file name extension such as.txt,.xml,.jpg, and.jpeg. These files change their file name extension after they are natively protected by Rights Management, and become read-only. Files that cannot be natively protected have a.pfile file name extension after they are generically protected by Rights Management. For more information, see the from the Azure Information Protection client admin guide.