### 统计代写|R语言代写R language代考|STA518

R是一种用于统计计算和图形的编程语言，由R核心团队和R统计计算基金会支持。R由统计学家Ross Ihaka和Robert Gentleman创建，在数据挖掘者和统计学家中被用于数据分析和开发统计软件。用户已经创建了软件包来增强R语言的功能。

statistics-lab™ 为您的留学生涯保驾护航 在代写R语言方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写R语言代写方面经验极为丰富，各种代写R语言相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 统计代写|R语言代写R language代考|R as a language

$\mathrm{R}$ is a computer language designed for data analysis and data visualization, however, in contrast to some other scripting languages, it is, from the point of view of computer programming, a complete language-it is not missing any important feature. In other words, no fundamental operations or data types are lacking (Chambers 2016). I attribute much of its success to the fact that its design achieves a very good balance between simplicity, clarity and generality. R excels at generality thanks to its extensibility at the cost of only a moderate loss of simplicity, while clarity is ensured by enforced documentation of extensions and support for both object-oriented and functional approaches to programming. The same three principles can be also easily respected by user code written in $\mathrm{R}$.

As mentioned above, R started as a free and open-source implementation of the S language (Becker and Chambers 1984; Becker et al. 1988). We will describe the features of the $\mathrm{R}$ language in later chapters. Here I mention, for those with programming experience, that it does have some features that make it different from other frequently used programming languages. For example, R does not have the strict type checks of Pascal or $\mathrm{C}++$. It has operators that can take vectors and matrices as operands allowing more concise program statements for such operations than other languages. Writing programs, specially reliable and fast code, requires familiarity with some of these idiosyncracies of the $\mathrm{R}$ language. For those using $\mathrm{R}$ interactively, or writing short scripts, these idiosyncratic features make life a lot easier by saving typing.

## 统计代写|R语言代写R language代考|R as a computer program

The R program itself is open-source, and the source code is available for anybody to inspect, modify and use. A small fraction of users will directly contribute improvements to the R program itself, but it is possible, and those contributions are important in making R reliable. The executable, the R program we actually use, can be built for different operating systems and computer hardware. The members of the R developing team make an important effort to keep the results obtained from calculations done on all the different builds and computer architectures as consistent as possible. The aim is to ensure that computations return consistent results not only across updates to $R$ but also across different operating systems like Linux, Unix (including OS X), and MS-Windows, and computer hardware.
The $\mathrm{R}$ program does not have a graphical user interface (GUI), or menus from which to start different types of analyses. Instead, the user types the commands at the R console (Figure 1.1). The same textual commands can also be saved into a text file, line by line, and such a file, called a “script” can substitute repeated typing of the same sequence of commands. When we work at the console typing in commands one by one, we say that we use $\mathrm{R}$ interactively. When we run script, we may say that we run a “batch job.”

The two approaches described above are part of the R program by itself. However, it is common to use a second program as a front-end or middleman between the user and the R program. Such a program allows more flexibility and has multiple features that make entering commands or writing scripts easier. Computations are still done by exactly the same R program. The simplest option is to use a text editor like Emacs to edit the scripts and then run the scripts in R from within the editor. With some editors like Emacs, rather good integration is possible. However, nowadays there are also Integrated Development Environments (IDEs) available for R. An IDE both gives access to the R console in one window and provides a text editor for writing scripts in another window. Of the available IDEs for R, RStudio is currently the most popular by a wide margin.

## 统计代写|R语言代写R language代考|R as a language

R是一种专为数据分析和数据可视化而设计的计算机语言，然而，与其他一些脚本语言相比，从计算机编程的角度来看，它是一种完整的语言——它不缺少任何重要的特性。换句话说，不缺少基本操作或数据类型（Chambers 2016）。我将它的成功很大程度上归功于它的设计在简单性、清晰性和通用性之间取得了很好的平衡。R 在通用性方面表现出色，这要归功于它的可扩展性，其代价是仅在一定程度上降低了简单性，同时通过强制扩展文档和对面向对象和函数式编程方法的支持来确保清晰度。编写的用户代码也可以轻松遵守相同的三个原则R.

## 统计代写|R语言代写R language代考|R as a computer program

R程序本身是开源的，任何人都可以查看、修改和使用源代码。一小部分用户将直接为 R 程序本身做出改进，但这是可能的，并且这些贡献对于使 R 可靠非常重要。可执行文件，即我们实际使用的 R 程序，可以针对不同的操作系统和计算机硬件构建。R 开发团队的成员做出了重要的努力，以使在所有不同构建和计算机体系结构上进行的计算所获得的结果尽可能保持一致。目的是确保计算不仅在更新之间返回一致的结果R但也跨越不同的操作系统，如 Linux、Unix（包括 OS X）和 MS-Windows，以及计算机硬件。

## 广义线性模型代考

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## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。