v21i04.R

说明：  数据集实体文件名称：中国降水日值0.5°×0.5°格点数据集文件命名由数据集代码（SURF_CLI_CHN_PRE_DAY_GRID_0.5）、年月日标识（YYYYMMDD）组成。具体形式：SURF_CLI_CHN_PRE_DAY_GRID_0.5-YYYYMMDD.TXT(Specific form:SURF_CLI_CHN_PRE_DAY_GRID_0.5-YYYYMMDD.TXT)

ADS-B接收，采用PlutoSDR板卡，基于matlab开发(ADS-B receives, uses PlutoSDR card, develops based on MATLAB)

说明：  R语言对数据进行Garch-M-Copula建模并利用EM算法估计相应的参数(Garch-m-copula is used to model the data in R language and EM algorithm is used to estimate the corresponding parameters)

《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)

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)

R语言编程学习，copula函数数据编程分析。相关性分析，R语言的应用(R Copula)

r语言配套分析的数据，代码。适合初学者进行使用(R language supporting analysis of data, code. Suitable for beginners)

FAVAR。运用结构化变量进行因子分析，拟合VAR模型(FAVAR. Structural variables were used for factor analysis to fit the VAR model)

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)

r语言可视化领域最详细的说明，从最简单的作图到可视化分析，内容详尽(The most detailed description of the field of R language visualization, from the simplest mapping to visual analysis, is exhaustive.)