| Introduction |
| Base SAS Software |
The features provided by the SAS High-Performance Forecasting software are extensions to the features provided by Base SAS software. Many data management and reporting capabilities you will need are part of Base SAS software. Refer to SAS Language: Reference and the SAS Procedures Guide for documentation of Base SAS software.
The following sections summarize Base SAS software features of interest to users of SAS High-Performance Forecasting software. See Chapter 3, Working with Time Series Data (SAS/ETS User's Guide), for further discussion of some of these topics as they relate to time series data and SAS High-Performance Forecasting software.
The DATA step is your primary tool for reading and processing data in the SAS System. The DATA step provides a powerful general purpose programming language that enables you to perform all kinds of data processing tasks. The DATA step is documented in SAS Language: Reference.
Base SAS software includes many useful SAS procedures. Base SAS procedures are documented in the SAS Procedures Guide. The following is a list of Base SAS procedures you might find useful:
for managing SAS catalogs
for printing charts and histograms
for comparing SAS data sets
for displaying the contents of SAS data sets
for copying SAS data sets
for computing correlations
for moving SAS data libraries between computer systems
for deleting or renaming SAS data sets
for computing frequency crosstabulations
for computing descriptive statistics and summarizing or collapsing data over cross sections
for printing scatter plots
for printing SAS data sets
for computing rankings or order statistics
for sorting SAS data sets
for processing SAS data sets with structured query language
for standardizing variables to a fixed mean and variance
for printing descriptive statistics in tabular format
for plotting variables over time
for transposing SAS data sets
for computing descriptive statistics
Global statements can be specified anywhere in your SAS program, and they remain in effect until changed. Global statements are documented in SAS Language: Reference. You might find the following SAS global statements useful:
for accessing data files
for printing footnote lines at the bottom of each page
for including files of SAS statements
for accessing SAS data libraries
for setting various SAS system options
for executing the preceding SAS statements
for printing title lines at the top of each page
for issuing host operating system commands from within your SAS session
Some Base SAS statements can be used with any SAS procedure, including SAS High-Performance Forecasting procedures. These statements are not global, and they affect only the SAS procedure they are used with. These statements are documented in SAS Language: Reference.
The following Base SAS statements are useful with SAS High-Performance Forecasting procedures:
for computing separate analyses for groups of observations
for assigning formats to variables
for assigning descriptive labels to variables
for subsetting data to restrict the range of data processed or to select or exclude observations from the analysis
SAS functions can be used in DATA step programs and in the COMPUTAB and MODEL procedures. The following kinds of functions are available:
date and time functions, for performing date and calendar calculations
financial functions, for performing financial calculations such as depreciation, net present value, periodic savings, and internal rate of return
lagging and differencing functions, for computing lags and differences
mathematical functions, for computing data transformations and other mathematical calculations
probability functions, for computing quantiles of statistical distributions and the significance of test statistics
random number functions, for simulation experiments
sample statistics functions, for computing means, standard deviations, kurtosis, and so on
Base SAS software provides formats to control the printing of data values, informats to read data values, and time intervals to define the frequency of time series.
Copyright © 2008 by SAS Institute Inc., Cary, NC, USA. All rights reserved.