how to import data into R

说明：  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.)

R 语言 bootRes包算相关系数 计算bootstrapped 相关系数(calculate bootstrapped correlation)

SIR。。。。 传染病传播的SIR模型，很全，可直接应用仿真模拟 (SIR model the spread of infectious diseases, it is full, the simulation can be applied directly)(SIR model the spread of infectious diseases, it is full, the simulation can be applied directly)

说明：  该文档中包含大量代码，首先是一些R语言基本语法练习的，然后是一些机器学习相关的，最后是一些评分卡指标计算、建模相关的。(This document contains a lot of code, first some basic grammar exercises of R language, then some machine learning related, and finally some scorecard index calculation, modeling related.)

说明：  因子分析:包括案例和对应的R语言代码，代码中地址需要自行修改后使用(Factor analysis: including a case and corresponding R language code, the address in the code needs to be modified by itself)

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)

能检测各种高德地图的端口的比特率和串口数据，也可以修改数据(High speed rate modifier)

说明：  garch copula 带论文和code例句(garch copula with paper and code)

说明：  基于R语言的空气质量数据分析与预测，包括可视化方法处理数据、回归分析与预测(R code for air quality data analysis and prediction)

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.)