qq_34707793的博客

种子比从GD上下载快多了，可以参考这个原文 https://techsviewer.com/install-macos-10-14-mojave-virtualbox-windows/

Biostatistics by Example Using SAS Studio PDF Purpose SAS University Edition and its user interface, SAS Studio, have become very popular. SAS Studio can also be used with standard versions of SAS, perhaps as an alternative to SAS Enterprise Guide. SAS Studio includes built-in tasks for importing data from external files (Excel, for example) and, best of all, it includes point-and-click statistical tasks for just about any statistical study. This book will benefit the reader by doing the following: 1. Providing step-by-step instructions, complete with screen shots, of how to use SAS University Edition and SAS Studio to perform most statistical queries. 2. Discussing the theory behind each statistical test, with emphasis on the assumptions that need to be satisfied before running each test. 3. Helping the reader negotiate some of the trickier aspects of running SAS University Edition. For example, this book explains how to access files on a local hard drive and make them available on the virtual machine where SAS is running. 4. Providing a detailed explanation of the output produced by each statistical procedure. 5. Presenting practice problems (with solutions to the odd-numbered problems). Is This Book for You? The audience for this book consists mostly of students in a statistics or a biostatistics class. Although the book uses biostatistical examples, students in other classes such as educational or business statistics will also benefit. In addition, data analysts in the pharmaceutical industry will also find valuable information in this book. Prerequisites There is NO prerequisite for readers of this book. It is written with the assumption that the reader has never used SAS before. Scope of This Book The first section of this book explains how to install the SAS University Edition and the virtualization software needed to run it. Readers of this book may also be using SAS Studio with a standard edition of SAS (as opposed to the SAS University Edition). Subsequent chapters describe how to import data from a variety of sources such as Excel workbooks and CSV files. Following these chapters is a chapter on using the SAS Studio tasks to perform descriptive statistics, the first step in almost any data analysis project. Most of the remaining chapters cover all the basic statistical tests commonly used in biostatistical analysis. A final chapter is devoted to sample size and power calculations. This topic is not usually covered in a book of this type, even though it is a very important topic. After reading this book, you will be able to understand temporary and permanent SAS data sets and how to create them from various data sources. The reader will also be able to use SAS Studio Statistics tasks to generate descriptive statistics for continuous and categorical data. The inferential statistics portion of the book covers the following: • Paired and unpaired t tests • One-way analysis of variance • N-Way ANOVA • Correlation • Simple and multiple regression • Logistic regression • Categorical data analysis • Power and sample size calculations

Audience The SAS Certification Prep Guide: Base Programming for SAS®9 is for new or experienced SAS programmers who want to prepare for the SAS Base Programming for SAS®9 exam. Requirements and Details Purpose The SAS Certification Prep Guide: Base Programming for SAS®9 helps prepare you to take the SAS Base Programming for SAS®9 exam. The book covers the objectives tested on the exam, including basic concepts, producing reports, creating and modifying SAS data sets, and reading various types of raw data. Before attempting the exam you should also have experience programming in the SAS®9 environment. The book includes quizzes that enable you to test your understanding of material in each chapter. Additionally, solutions to all quizzes are included at the back of the book. About This Book.....................................................................................................................................................................2 Chapter 1 Base Programming .................................................................................................................................................4 Chapter 2 Referencing Files and Setting Options .................................................................................................................43 Chapter 3 Editing and Debugging SAS Programs ................................................................................................................79 Chapter 4 Creating List Reports..........................................................................................................................................115 Chapter 5 Creating SAS Data Sets from External Files......................................................................................................159 Chapter 6 Understanding DATA Step Processing ...............................................................................................................215 Chapter 7 Creating and Applying User-Defined Formats ...................................................................................................254 Chapter 8 Producing Descriptive Statistics.........................................................................................................................268 Chapter 9 Producing HTML Output ...................................................................................................................................304 Chapter 10 Creating and Managing Variables.....................................................................................................................331 Chapter 11 Reading SAS Data Sets ....................................................................................................................................364 Chapter 12 Combining SAS Data Sets ...............................................................................................................................391 Chapter 13 Transforming Data with SAS Functions...........................................................................................................437 Chapter 14 Generating Data with DO Loops......................................................................................................................506 Chapter 15 Processing Variables with Arrays .....................................................................................................................527 Chapter 16 Reading Raw Data in Fixed Fields...................................................................................................................563 Chapter 17 Reading Free-Format Data ...............................................................................................................................586 Chapter 18 Reading Date and Time Values.........................................................................................................................626 Chapter 19 Creating a Single Observation from Multiple Records ....................................................................................648 Chapter 20 Creating Multiple Observations from a Single Record ....................................................................................671 Chapter 21 Reading Hierarchical Files ...............................................................................................................................706 Appendix 1 Quiz Answer Keys...........................................................................................................................................733

• “Creating and Concatenating Matrices” on page 1-2 • “Matrix Indexing” on page 1-11 • “Getting Information About a Matrix” on page 1-22 • “Resizing and Reshaping Matrices” on page 1-25 • “Shifting and Sorting Matrices” on page 1-34 • “Operating on Diagonal Matrices” on page 1-39 • “Empty Matrices, Scalars, and Vectors” on page 1-41 • “Multidimensional Arrays” on page 1-47 • “Summary of Matrix and Array Functions” on page 1-66 • “Matrices in the MATLAB Environment” on page 2-2 • “Systems of Linear Equations” on page 2-11 • “Inverses and Determinants” on page 2-23 • “Factorizations” on page 2-27 • “Powers and Exponentials” on page 2-35 • “Eigenvalues” on page 2-39 • “Singular Values” on page 2-43 • “LAPACK in MATLAB” on page 2-48

Using Java Libraries from MATLAB • “Getting Started with Java Libraries” on page 1-3 • “Call Java Method” on page 1-5 • “Simplify Java Class Names Using import Function” on page 1-9 • “Java Class Path” on page 1-10 • “Static Path” on page 1-12 • “Load Java Class Definitions” on page 1-16 • “Locate Native Method Libraries” on page 1-17 • “Load Class Using Java Class.forName Method” on page 1-18 • “Dynamic Path” on page 1-19 • “Call Method in Your Own Java Class” on page 1-20 • “How MATLAB Represents Java Arrays” on page 1-21 • “Create Array of Java Objects” on page 1-24 • “Access Elements of Java Array” on page 1-26 • “Assign Values to Java Array” on page 1-31 • “Concatenate Java Arrays” on page 1-35 • “Create Java Array References” on page 1-37 • “Create Copy of Java Array” on page 1-38 • “Construct and Concatenate Java Objects” on page 1-40 • “Save and Load Java Objects to MAT-Files” on page 1-42 • “Data Fields of Java Objects” on page 1-43 • “Determine Class of Java Object” on page 1-46 • “Method Information” on page 1-47 • “Determine What Classes Define Method” on page 1-50 • “Java Methods That Affect MATLAB Commands” on page 1-51 • “How MATLAB Handles Undefined Methods” on page 1-53

With MATLAB® and related data analysis products you perform analyses and gain insight into your data in a fraction of the time required with spreadsheets or traditional programming languages such as C, C++, or Visual Basic. These products combine a powerful numeric engine and programming environment with interactive tools for statistical analysis, image processing, signal processing, and other domains. You can: Access data from files, spreadsheets, databases, test equipment, data acquisition hardware, other software, or the Web Explore your data to identify trends, test hypotheses, and estimate uncertainty Create customized algorithms, visualizations, and models and publish customized reports Share your analysis tools as MATLAB code or as standalone desktop or Web applications

在一个平台上统一分析资源势 在必行 站在不断发展的国家银行角度考虑这种情况，专业分析人员在各自部 门中通过分析取得良好效果：  业务开发部门的数据科学家通过分析数据，为银行高端客 户建立度身定制的体验。  数字营销人员跟踪并影响潜在按揭客户的客户旅程。  业务风险分析师建立银行信贷组合风险模型。  数据分析师检查本地分行客户数据。  技术架构师定义新的系统来保护银行数据避免网络威胁。  应用开发师构建新的移动应用支持客户在线理财。 这些部门之间可能使用大量不同的分析和数据管理软件。有些是开源技 术，有些是托管的企业级应用。 能够使用自己选择的编程语言和工具，可以让数据人员感到满意并有助 于提高工作效率。在技术力量短缺的情况下，这种灵活性有助于银行寻 找并留住所需人才。 但是，银行的 IT部门如何保证所有分析项目使用正确的数据、正确的模 型和严格的流程，以保证合规并获得收益? 谁负责将所有这些不同的代 码库与业务场景结合在一起来监控结果，或发现其他改进业务的机会? 企业需要一种环境统一这些分析孤岛。他们希望将分析工作集中起来，进 行跟踪、监控和改进—并支持部门间分享分析资源，而无论使用何种代码 和工具。数据人员需要利用自己掌握的技能轻松创建、实验、测试并快速 部署不同方法。IT领导希望轻松管理从开发到部署的整个分析过程，统 一控制 SAS® 和其他资源。 要求：更加快速地取得分析结果。这需要首先建立综合分析平台。

MicroStation 是国际上和AutoCAD齐名的二维和三维CAD设计软件，第一个版本由Bentley兄弟在1986年开发完成。其专用格式是DGN，并兼容AutoCAD的DWG/DXF等格式。 MicroStation是Bentley 工程软件系统有限公司在建筑、土木工程、交通运输、加工工厂、离散制造业、政府部门、公用事业和电讯网络等领域解决方案的基础平台。

MicroStation_J7 USERGUIDE MicroStation 是国际上和AutoCAD齐名的二维和三维CAD设计软件，第一个版本由Bentley兄弟在1986年开发完成。其专用格式是DGN，并兼容AutoCAD的DWG/DXF等格式。 MicroStation是Bentley 工程软件系统有限公司在建筑、土木工程、交通运输、加工工厂、离散制造业、政府部门、公用事业和电讯网络等领域解决方案的基础平台。

MATLAB 系统由5 主要的部分构成： 1. MATLAB 语言。 这是高阶的矩阵/数组语言,带控制流动陈述，函数，数据结构，输入/输出，而且面向 目标的编程特点。 Ops 操作符和特殊字符。 Lang 程序设计语言作。 strfun 字符串。 iofun 输入/输出。 timefun 时期和标有日期。 datatypes 数据类型和结构。 2. MATLAB 工作环境。 这是你作为 MATLAB 用户或程序编制员的一套工具和设施。 3. 制图这是 MATLAB 制图系统。它为 2 维上，而且三维的数据可视化，图象处理，动画片制作和表示图形 包括高阶的指令在内。它也为包括低阶的指令在内,允许你建造完整的图形用户界面（GUIs），MATLAB 应 用。制图法功能在 MATLAB 工具箱中被组织成 5 文件夹： graph2d 2-的维数上的图表。 graph3d 三维的图表。 specgraph 专业化图表。 graphics 制图法。 uitools 图形用户界面工具。 4. MATLAB 的数学的函数库。 数学和分析的功能在 MATLAB 工具箱中被组织成 8 文件夹。 elmat 初步矩阵，和矩阵操作。 elfun 初步的数学函数。 specfun 专门的数学函数。 matfun 矩阵函数－用数字表示的线性的代数。 datafun 数据分析和傅立叶变换。 polyfun 插入物，并且多项式。 funfun 功能函数。 sparfun 稀少矩阵。 5. MATLAB 应用程序接口（API）。 这是允许你写 C、Fortran 语言与 MATLAB 交互。MATLAB 系统由5 主要的部分构成： 1. MATLAB 语言。 这是高阶的矩阵/数组语言,带控制流动陈述，函数，数据结构，输入/输出，而且面向 目标的编程特点。 Ops 操作符和特殊字符。 Lang 程序设计语言作。 strfun 字符串。 iofun 输入/输出。 timefun 时期和标有日期。 datatypes 数据类型和结构。 2. MATLAB 工作环境。 这是你作为 MATLAB 用户或程序编制员的一套工具和设施。 3. 制图这是 MATLAB 制图系统。它为 2 维上，而且三维的数据可视化，图象处理，动画片制作和表示图形 包括高阶的指令在内。它也为包括低阶的指令在内,允许你建造完整的图形用户界面（GUIs），MATLAB 应 用。制图法功能在 MATLAB 工具箱中被组织成 5 文件夹： graph2d 2-的维数上的图表。 graph3d 三维的图表。 specgraph 专业化图表。 graphics 制图法。 uitools 图形用户界面工具。 4. MATLAB 的数学的函数库。 数学和分析的功能在 MATLAB 工具箱中被组织成 8 文件夹。 elmat 初步矩阵，和矩阵操作。 elfun 初步的数学函数。 specfun 专门的数学函数。