R Studio入门与环境介绍：提升大数据分析效率

需积分: 4 64 浏览量更新于2024-09-07 收藏 486KB PDF 举报

R Studio Notes 是一份关于学习和掌握 R 语言环境的实用指南，主要目标是使初学者熟悉 R Studio 的使用，包括但不限于以下内容： 1. **R Studio 简介**： R Studio 是一款免费的统计计算环境软件，专为 R 语言设计，提供了许多高级功能，旨在简化数据分析过程，如图形生成、脚本编写以及项目管理。它在 MS979 实践课程所使用的机器上预装，但可能校园内其他地方不太常见。 2. **启动 R Studio**：用户可以通过 Windows 开始菜单（Start > All Programs > RStudio）首次打开 R Studio，初次启动时界面会展示三个核心面板：Console（控制台）、Environment（环境）和 Plot/Help/File（绘图/帮助/文件）。 - **Console**：这是执行 R 命令和显示输出的地方。当用户运行 R 代码时，命令和相应的结果会在 Console 中呈现。 3. **面板功能**： - **Environment** 面板：用于管理变量、数据框、函数等对象，用户可以在这里查看和操作存储的数据。 - **Plot** 面板：用于查看和创建 R 语言生成的各种图形，如散点图、线图、直方图等。 - **Help** 和 **File** 面板：前者提供了 R 语言和 R Studio 的文档支持，后者则涉及文件的管理和保存。 4. **基本 R 命令与功能**：本实践通过实际操作教授基础 R 命令和功能，例如数据导入（`read.csv()`）、数据清洗（`dplyr`包）、数据可视化（`ggplot2`）、脚本编写（`.R`文件）以及如何保存和加载项目（`save.image()` 和 `load()`）。 5. **学习目标**：学习者通过这次实践将能够： - 熟悉 R Studio 的界面和工作流程 - 掌握图形输出和脚本编写技巧 - 学习基本的 R 命令和操作方法这份笔记是为 R 语言初学者设计的实战教程，帮助他们快速上手 R Studio，并提升数据分析能力。通过实践，学习者将更好地理解和利用 R Studio 提供的便利工具，提高工作效率。

The application is divided into 3 panels that perform diﬀerent functions:

1. Console: This is where commands and associated output will appear when they are

run. Commands can either be typed directly into the console after the prompt symbol,

>, or they can be run from the script editor (more on that below). To run a command,

hit Enter after typing it. You should recognise the console as what you would see when

using R without RStudio.

2. Plots / help / ﬁles: This panel is tabbed and performs several diﬀerent functions.

• Plots: when a new plot is called, it will appear under the plot tab. When several

plots are called, they can all be accessed by toggling the forward and backward

arrows. When a particular plot is shown, it can be exported as an image for use

in reports.

• Help: help ﬁles that document R functions are accessible by typing ?r-function

into the console, for example ?plot brings up the help ﬁle for the plot command.

Help ﬁles will automatically appear here under the help tab.

• Files: Often it is useful to tell RStudio in advance to automatically look inside

a particular directory on your computer so that data ﬁles and prewritten R code

can be accessed more quickly. All of the ﬁles and folders in this chosen directory

are shown in the ﬁles tab.

3. Environment: Each time an assignment is made e.g using commands like a <- 1 +

1 or q = lm(y ~ x) are run, new ‘objects’ are created and are stored in R’s memory,

in this example these would be a (an integer equal to 2) and q (a linear model object).

The environment is a list that summarises every object that is currently in R’s memory.

This can be very useful during a long analysis for checking the types of objects that

have already been created and to ﬁnd out what their names are.

3 Writing and executing commands

3.1 Using the console

It is a lot easier to see what some of this means by going ahead and entering a few commands

into the console. Copy, paste the following code to the console and then hit Enter to run

it, pay attention to what appears under the environment tab as you do.

# simple sum

a <- 1 + 1

# generate 100 normal random variables with mean = 0 and variance = 1

剩余12页未读，继续阅读

weixin_43197639

粉丝: 0
资源: 1

R Studio入门与环境介绍：提升大数据分析效率

Android-notes.rar_android

MATLAB Study Notes

android-notes:基本的Android笔记

android studio记事本代码

android studio记事本源码

Android Studio记事本代码

用androidstudio写记事本

android studio简易记事本

android studio记事本开发的伪代码

android studio开发记事本app的代码

最新资源