再发一本09年sas新书Just Enough SAS: A Quick-Start Guide to SAS for Engineers-经管之家官网！

Just Enough SAS: A Quick-Start Guide to SAS for Engineers 从书的名字就知道：这本书能让你快速掌握必须的sas内容，这些内容足够应用于分析中。
发了悬赏贴，300币求两本书。见如下两个帖子：Applied Statistics and the SAS Programming Language, Fifth Edition 第五版，重金求 A Handbook of Statistical Analysis Using SAS (third Edition).pdf 第三版，
http://www.pinggu.org/bbs/thread-708048-1-1.html
http://www.pinggu.org/bbs/thread-708046-1-1.html
Copyright © 2009, SAS Institute Inc., Cary, NC, USA
Purpose
SAS is not difficult to learn, but it is a lot to learn. There are so many different SAS products,procedures, and options that it’s difficult to know where to start, and it’s easy to invest a lot of time in learning before you reach the point of being able to use SAS effectively to do really useful work.The purpose of this book is to provide “just enough” instruction on a broad variety of topics so that a new SAS user can become productive very quickly. Because the coverage is very broad, it is necessarily not as deep as the coverage in other sources. So there are many references to books and papers that you can use to better understand the topics introduced here, and most of the papers are included for download as PDF documents.Much of the material in the book is general enough to be useful in many fields, but the examples
are geared toward the analysis of quality and reliability data, and Chapters 9 and 10 arespecifically aimed at those topics.
Contents
About This Book vii
Chapter 1 Getting Started 1
1.1 Introduction 2
1.2 Installing the Sample Code 2
1.3 Starting a SAS Session 4
1.4 Writing, Submitting, and Saving SAS Code 6
1.5 Using autoexec.sas 8
1.6 Just Enough Syntax 9
1.7 SAS Programming 10
1.8 SAS Procedures 12
1.9 Debugging Basics 14
1.10 Chapter Summary 16
Chapter 2 DATA Step Programming 19
2.1 Introduction 20
2.2 Creating SAS Data Sets 22
2.3 Saving SAS Data Sets 30
2.4 SAS Functions and CALL Routines 31
2.5 The RETAIN Statement 41
2.6 Selecting Subsets of Data Sets 42
2.7 Sorting Data Sets 44
2.8 Merging Data Sets 47
2.9 More Than Enough 50
2.10 Chapter Summary 54
Chapter 3 Data Out, Data In—Spreadsheets 57
3.1 Introduction 58
3.2 Exporting a SAS Data Set to a Spreadsheet 58
3.3 Importing Spreadsheet Data to SAS 62
3.4 More Than Enough 70
3.5 Chapter Summary 74
Chapter 4 Data Out, Data In—Relational Databases 77
4.1 Introduction 78
4.2 Using PROC SQL with SAS Data Sets 79
4.3 Using SAS with a Database Management System 84
4.4 More Than Enough 94
4.5 Chapter Summary 96
Chapter 5 Summarizing Your Data 99
5.1 Introduction 100
5.2 PROC MEANS 102
5.3 PROC TABULATE 112
5.4 PROC REPORT 114
5.5 PROC BOXPLOT 116
5.6 PROC ANOM 120
5.7 PROC UNIVARIATE 124
5.8 PROC FREQ 130
5.9 More Than Enough 132
5.10 Chapter Summary 134
Chapter 6 Plotting Your Data with SAS/GRAPH
Software 137
6.1 Introduction 138
6.2 Viewing, Saving, and Naming Your Graphic Ouput 142
6.3 PROC GPLOT 146
6.4 PROC GCHART 180
6.5 More Than Enough 198
6.6 Chapter Summary 208
Chapter 7 The Output Delivery System 211
7.1 Introduction 212
7.2 Publishing Your Report in RTF 216
7.3 Publishing Your Report in PDF 218
7.4 Publishing Your Report to the Web 220
7.5 Using ODS to Save and Select Procedure Output 232
7.6 More Than Enough 238
7.7 Chapter Summary 244
Chapter 8 Plotting Your Data with ODS Graphics 247
8.1 Introduction 248
8.2 ODS Statistical Graphics 250
8.3 PROC SGPLOT 252
8.4 PROC SGPANEL 296
8.5 PROC SGSCATTER 298
8.6 More Than Enough 304
8.7 Chapter Summary 306
Chapter 9 Analyzing Quality Data with SAS 309
9.1 Introduction 310
9.2 Deciding Whether the Process Is In Control 314
9.3 Measuring Process Capability 318
9.4 Monitoring the Process 320
9.5 P-Charts for Fraction Failing 322
9.6 U-Charts for Defects per Unit 324
9.7 More Than Enough 326
9.8 Chapter Summary 328
Chapter 10 Analyzing Reliability Data with SAS 331
10.1 Introduction 332
10.2 PROC RELIABILITY 338
10.3 PROC LIFEREG 346
10.4 PROC LIFETEST 352
10.5 PROC PHREG 354
10.6 The Reliability of Repairable Units 358
10.7 More Than Enough 360
10.8 Chapter Summary 362
Chapter 11 SAS Macro Programming 365
11.1 Introduction 366
11.2 Macro Variables 368
11.3 Macro Programs 378
11.4 Utility Macros 390
11.5 More Than Enough 404
11.6 Chapter Summary 406