Advanced SAS® Macros Steven First‚ Katie Ronk‚ Systems Seminar Consultants‚ Madison‚ WI Abstract This hands-on workshop presents some intermediate-to-advanced macro topics such as macro referencing environments‚ macro interfaces (SYMGET‚ SYMPUT‚ EXECUTE‚ RESOLVE‚ PROC SQL)‚ macro quoting‚ and macro functions. Good practices and alternatives to macros are also discussed. After a short lecture‚ attendees will perform hands-on exercises until the end of the session. Introduction The SAS® programming
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farms with 9 acres or fewer‚ 1992 number of farms with 9 acres or fewer‚ 1987 number of farms with 9 acres or fewer‚ 1982 S = south‚ W = west‚ NC = north central‚ NE = northeast [8marks] Create the SAS data‚ work.A1Q1 with the features described below from the SAS dataset agpop. a. Create the SAS data‚ work.A1Q1. b. Display only the variables region‚ county‚ state‚ acres92‚ and farms92. c. The data includes two subsets (i) the number of acres devoted to farms in 1992 (acres92) was between 32‚000
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What is SAS SAS is an abbreviation for Statement of Auditing Standards‚ which provides guidelines on generally accepted auditing standards. Accounting Standard Board (ASB) issues them on matters that deal with the preparation and issuing of audit reports for non-users. Statement of Auditing Standards has different sections - each dealing with professional standard with an assigned standard number. SAS 115 It establishes the procedures and process of communicating internal control related matters
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You have been hired by the San Antonio Fitness company (better known as SA Fitness) located in San Antonio‚ Texas‚ to develop a working database system to better track their clients‚ trainers‚ workouts‚ and personal training. SA Fitness offers several types of membership plans to accommodate anyone’s needs. A membership plan has the beginning date‚ an initiation fee‚ a monthly fee‚ a duration (number of months in the plan contract)‚ and a personal training fee. Once a person signs up for a membership
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1. Introduction Piele SA started a budget committee consisting of the chief accountant‚ a cost accountant‚ a technical director‚ and heads of the production departments. The committee was formed to help develop a budget using the zero-based budgeting system. Piele SA’s budget was based on the expected level of activity in sales that the firm expected to generate during the year. Piele SA started its budget from zero‚ and continued to re-evaluate and adjust targets throughout the operating year;
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THE MACRO-ECONOMIC IMPLICATIONS OF MICRO-ECONOMIC MARKET FAILURES IN TELECOMMUNICATIONS – THE CASE OF SA. Nicola Theron ECONEX www.econex.co.za Department of Economics University of Stellenbosch nmb@sun.ac.za 1. INTRODUCTION This paper will examine the micro-economic market failures and the rationale for regulation in the South African telecommunications sector. The role of telecommunications in economic growth will be emphasized by analysing the effect that the micro-economic market failures
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SAS History SAS was founded in 1976 to help a wide range of customers‚ from pharmaceutical companies and banks to academic and governmental entities. SAS originally emerged as a program called the Statistical Analysis System. The program was developed in 1966 at North Carolina State University under a grant from the National Institutes of Health to analyze vast amounts of agricultural data collected through the United States Department of Agriculture. The early leaders of the project were NCSU
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I. Introduction Scandinavian Airlines (SAS) has received greatly attention in the media in recent times partly due to the poor financial performance in the past years. The purpose of this paper is to analysis the corporate governance model of the company SAS‚ and identify the key corporate issues that may be behind the bad performance that the company is undergoing. The airline industry is especially sensible to business cycles and the financial crisis bit it hard. That is why in order to develop
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Using IF THEN ELSE statements‚ LENGTH is to be use so that the new coloum create (Patient) will have defined length that is $12. data newclass; set sashelp.class; length Patient $12.; If weight <=84 then Patient= ’UnderWeight ’; else If weight >84 and weight <=100 then Patient= ’ProperWeight ’; else If weight >100 then Patient= ’OverWeight ’; else Patient= ’OutLier ’; run; ====================================================================== SELECT WHEN END statement
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MFE 6390 Spring 2013 Residual analysis in SAS (continued) In the previous two lectures‚ we learnt how to obtain the residuals of the estimation and to formally test for heteroscedasticity in the model. In this lecture‚ we will focus on testing the model errors for serial correlation. Recall that‚ in order to make valid inferences using the linear regression estimates‚ we need the errors of the model (i.e. residuals) to
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