PSTR

R语言对数据进行Garch-t-Copula建模和Garch-Clayton-Copula建模(Garch-t-Copula modeling and Garch-Clayton-Copula modeling for data in R language)

荧光屏谱中，连续小波变换后消基线，haar，墨西哥小波(Spectrum of the phosphor screen, the continuous wavelet transform eliminate baseline, Haar, Mexico wavelet)

中国地面气候资料日值数据集(V3.0)处理程序，可以用来处理中国气象数据网上的气象数据(China surface climate data daily data set (V3.0) processing program can be used to process meteorological data on China Meteorological data online.)

利用R语言进行两个变量的空间自相关分析，从而进行克里金插值(The spatial autocorrelation analysis of two variables is carried out by using R language.)

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)

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.)

说明：  一篇论文的GARCH in mean VAR(GARCH in mean VAR of a published paper)

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.)

在R中如何导入数据，主要是txt，csv，excel等数据格式的导入(how to imput data in R)