### 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|Getting help in R

Before we go further, it would serve us well to have a brief section detailing how to get help in R. Most R tutorials leave this for one of the last sections-if it is even included at all! In my own personal experience, though, getting help is going to be one of the first things you will want to do as you add more bricks to your $\mathrm{R}$ knowledge castle. Learning R doesn’t have to be difficult; just take it slowly, ask questions, and get help early. Go you!
It is easy to get help with $\mathrm{R}$ right at the console. Running the help.start () function at the prompt will start a manual browser. From here, you can do anything from going over the basics of $\mathrm{R}$ to reading the nitty-gritty details on how $\mathrm{R}$ works internally.

You can get help on a particular function in $\mathrm{R}$ if you know its name, by supplying that name as an argument to the help function. For example, let’s say you want to know more about the gsub () function that I sprang on you before. Running the following code:
\begin{aligned} & >\text { help (“gsub”) } \ & >\text { # or simply } \ & >\text { ?gsub } \end{aligned}
will display a manual page documenting what the function is, how to use it, and examples of its usage.

This rapid accessibility to documentation means that I’m never hopelessly lost when I encounter a function which I haven’t seen before. The downside to this extraordinarily convenient help mechanism is that I rarely bother to remember the order of arguments, since looking them up is just seconds away.
Occasionally, you won’t quite remember the exact name of the function you’re looking for, but you’ll have an idea about what the name should be. For this, you can use the help.search () function.
For tougher, more semantic queries, nothing beats a good old fashioned web search engine. If you don’t get relevant results the first time, try adding the term programming or statistics in there for good measure.

## 统计代写|R语言代写R language代考|Vectors

Vectors are the most basic data structures in R, and they are ubiquitous indeed. In fact, even the single values that we’ve been working with thus far were actually vectors of length 1 . That’s why the interactive $\mathrm{R}$ console has been printing [1] along with all of our output.

Vectors are essentially an ordered collection of values of the same atomic data type. Vectors can be arbitrarily large (with some limitations), or they can be just one single value.
The canonical way of building vectors manually is by using the c() function (which stands for combine).

In the preceding example, we created a numeric vector of length 7 (namely, Jenny’s telephone number).
Note that if we tried to put character data types into this vector as follows:
$>$ another.vect $<-c(” 8 n, 6,7, “-n, 3, ” 0 “, 9)$ $>$ another.vect
[1] “8” 6 ” “7” $-“$ ” 3 ” “0” “9”
$\mathrm{R}$ would convert all the items in the vector (called elements) into character data types to satisfy the condition that all elements of a vector must be of the same type. A similar thing happens when you try to use logical values in a vector with numbers; the logical values would be converted into 1 and 0 (for TRUE and FALSE, respectively). These logicals will turn into TRUE and FALSE (note the quotation marks) when used in a vector that contains characters.

## 统计代写|R语言代写R language代考|Getting help in R

$$\operatorname{help}(\text { “gsub”) }>\text { # or simply }>\text { ?gsub }$$

## 统计代写|R语言代写R language代考|Vectors

$>$ 另一个.vect $<-c(” 8 n, 6,7, “-n, 3, ” 0$ “, 9$)>$ 另一个.vect
[1] “8” 6″ “7”-” ” 3 ” “0” “9”
$\mathrm{R}$ 会将向量中的所有项（称为元素）转换为字符数据类型，以满足向量的所有元素必须属于同一类型的条 件。当您尝试在带有数字的向量中使用逻辑值时，也会发生类似的事情；逻辑值将被转换为 1 和 0 (分别 代表 TRUE 和 FALSE) 。当在包含字符的向量中使用时，这些逻辑将变成 TRUE 和 FALSE (注意引号) 。

## 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。