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learning-matlab6.5

于 2011-10-12 发布 文件大小:3376KB
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  本书第一章系统讲述 MATLAB6.5 的集成工作平台,引导者初会MATLAB 基本用法。第二、三章系统叙述MATLAB6.1 的四大基本数据类型(数值数组、字符串数组、元胞数组、构架数组),至于其它扩展数据类型(函数句柄、符号数据、内联函数、unit 数组、稀疏类)则另辟章节专述。此后,本书用九个独立章分述MATLAB6.5 的数值计算、符号计算、函数和数据可视、面向对象编程、GUI 交互操作界面 设计、EXE 独立应用程序生成、实现不同软件平台交互的API、M-book 数据图形文字环境集成等八大通用功能。(This book chapter describes the system integration work MATLAB6.5 platform, will guide the early MATLAB basics. Second, the system described in chapters four MATLAB6.1 basic data types (numeric arrays, string arrays, cell arrays, structure arrays), as other extended data types (function handle, symbol data, inline functions, unit array , sparse class) is to open another chapter specifically mentioned. Since then, the book points out with nine separate chapters MATLAB6.5 numerical calculations, symbolic computation, functions, and data visualization, object-oriented programming, GUI interactive interface design, EXE standalone application to generate and realize different software platforms to interact API, M-book data in graphical text such as the eight general-purpose functions integrated environment.)

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    1. It is necessary you have defined on Matlab the X - data matrix. Size of matrix must be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha - significance (default = 0.05). 2. For running this file it is necessary to call the rafisher function as PROFANA(X,alpha). Please see the help PROFANA. 3. Once you input the arguments, it will appears your results. ( 1. It is necessary you have defined on Matlab the X- data matrix. Size of matrix must be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha- significance (default = 0.05). 2. For running this file it is necessary to call the rafisher function as PROFANA(X,alpha). Please see the help PROFANA. 3. Once you input the arguments, it will appears your results. )
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