SAS

SAS training

(Duration: 18hrs.)

Download, Install and upgrade the SAS

01

Introduction to SAS Environment

An Overview of the SAS System  |  SAS Tasks   |   SAS & SQL A Comparison  

SAS data types  |   Variable Naming Convections  |   SAS File extensions

Output produced by the SAS System  |   SAS Tools (SAS Program – Data step and Proc step)

A sample SAS program  | SAS Library

02

Installation & setup

Creating SAS Account

Setting up VM-Ware for SAS

Installing SAS University Edition

03

Reading Raw Data from External File

Introduction to Raw Data

Factors considered to examine the raw data

Formats / Informats

Reading Unaligned Data (List Input)

Reading Data Aligned to Columns (Column Input)

Reading Data that requires Special Instructions (Formatted Input) | Controlling the position of the Pointer in Formatted Input

1. Absolute – Column pointer control (@)

2. Relative- Column pointer control (+)

Mixed Style Input (Mixing List, Input. Formatted Input styles in one INPUT Statement)

Using colon (:) modifier to specify an informat in the INPUT Statement )

 

Recognize delimiter in the raw data file (Using DLM= option in INFILE Statement

Missing data at the end of row (Using MISSOVER option in INFILE statement)

Missing values without placeholders (DSD option in INFILE statement)

04

How SAS works (Flow of Data Step Processing - Compilation & Execution phase)

Input Buffer

Program data vector (PDV)

Descriptor Information of a SAS Dataset

05

Data Transformations

Operators

Decision making in SAS

1. Conditional Processing using IF-THEN and ELSE statement

SAS Date Values

Managing Dates

Length Statement

Analyzing data using Loops


1. DO WHILE Statement

2. DO UNTIL Statement

3. Iterative DO loop Processing

4. Where Statement OR Where Condition (dataset)

5. Deciding whether to use a Where statement or Subsetting IF statement

06

Reading Datasets

Selecting Variables and observations (DROP or KEEP statement and DROP= or KEEP = dataset options)

Controlling which Observations are read (OBS= FIRSTOBS = Options)
The _ERROR_ Automatic Variable
The_N_Automatic Variable

Creating Subset of observations

Accumulating Totals for a Group of Data (BY- Group Processing (First & Last)

Multiple BY variables

DATASETS Procedure ( To modify the Variable name/label/format/informat)

Reading SAS datasets and Creating Variables

Creating an Accumulating Variable (The RETAIN Statement)

The DELETE Statement

The SUM Statement

The RENAME = Data Set option

07

Combining SAS datasets

1. Concatenating SAS Data Sets Using SET statement in DATA Step
2. Inter Leaving SAS Data Sets
3. Match-Merging
4. Appending
5. Excluding Unmatched Observations.

08

Processing Variables with Arrays

Single Dimension Array
Multi Dimension Array

09

Reading Data from External Files (Part2)

Generating a Single observation from Multiple Records
Generating Multiple Observations from Single Records
Reading Hierarchical Files
Reading Excel Files

10

Producing Descriptive Statistics

Using PROC Means
Limiting Decimal Places
Using Proc Frequency
Using Proc Summary

11

ODS - Output Delivery System

Transforming data with SAS functions

Manipulating Character Values (SUBSTRING / RIGHT / LEFT / SCAN/ CONCATENATION
TRIM / FIND / INDEX / UPCASE / LOWCASE / LENGTH )
Converting data using functions ( PUT / INPUT )

12

Creating & Applying User Defined Formats

Proc Format

13

PROC SQL – Using SQL in SAS

PROC SQL – Using SQL in SAS

14

Graphics in SAS

PROC Charts
PROC Plots
PROC UNIVARIATE
PROC SGPLOT

15

Macros in SAS

MACRO VARIABLES
PARAMETERIZED MACROS
AUTOMATIC MACRO VARIABLES
MACRO CONDITIONS
DATA DRIVEN PROGRAMS