R_codes

该书是一本较好的R语言编程书籍，从认识到实战，手把手教你如何使用R语言进行数据分析、挖掘、画图等等。(This book is a good R language programming book, from understanding to actual combat, teach you how to use R language data analysis, mining, drawing and so on.)

很好用的代码 简单操作 且是用R语言编写 真的很好用啊( Conceptually, this is a good model, but all too often people actually implement their code this way.)

用R语言进行TOPSIS算法，TOPSIS方法是层次分析中一个较为常用的方法，这里给出其一个R语言实现(Using R language for TOPSIS method)

计算CVAR 条件下的最有权重，主要针对股票收益率进行分析(compute the optimal weight under CVAR condition)

制作pcoa、饼图、venn图、热图、柱状图的脚本，可直接改参数使用，内有注释，适用于微生物多样性(the Script to make PCOA)

双重差分估计 双重差分模型（difference-in-difference，DID）近年来多用于计量经济学中对于公共政策或项目实施效果 的定量评估。 通常大范围的公共政策有别于普通科研性研究，难以保证对于政策实施组和对照组在样本分配上的完全随机。非随机分配政策实施组和对照组的试验称为自然试验（naturaltrial），此类试验存在较显著的特点，即不同组间样本在政策实施前可能存在事前差异，仅通过单一前后对比或横向对比的分析方法会忽略这种差异，继而导致对政策实施效果的有偏估计。(Quantitative evaluation of policy or project implementation effect. Generally, a wide range of public policies is different from general scientific research, and it is difficult to ensure that the sample allocation for the policy implementation group and the control group is completely random. The non-randomly assigned policy implementation group and the control group are called natural trials, which have significant characteristics, i.e. there may be prior differences between the different groups of samples before the implementation of the policy, and this difference will be ignored only through a single pre-and post-comparison or horizontal comparison analysis method, which leads to the policy. Biased estimation of implementation)

说明：  制作pcoa、饼图、venn图、热图、柱状图的脚本，可直接改参数使用，内有注释，适用于微生物多样性(the Script to make PCOA)

从plots文件中读取目标站点信息 从station文件读取气象站点信息 自动匹配距离目标站点最近的气象站名称(Automatically match the closest meteorogical station of subject plot.)

本书提供了快速绘制高质量图形的150多种技巧，每个技巧用来解决一个特定的绘图需求。读者可以通过目录快速定位到自己遇到的问题，查询相应的解决方案。(This book provides more than 150 techniques for quickly drawing high quality graphics, each of which addresses a specific drawing requirement. Readers can quickly locate their own problems through the directory, query the corresponding solution.)

说明：  《时间序列分析及应用：R语言，潘红宇》书籍分享(Time Series Analysis and Application: R Language, Pan Hongyu)