R数据可视化手册

通过本书，读者不仅能掌握使用R及相关算法包来快速解决实际问题的方法，而且能从实际问题分析入手，到利用R进行求解，以及对挖掘结果进行分析的全面训练(Through this book, readers can not only master the method of using R and relevant algorithm packages to quickly solve practical problems, but also start from the analysis of practical problems to the comprehensive training of using R to solve problems and analyzing mining results)

说明：  PSTR模型，解决面板数据的非线性关系问题，适合初学者使用(PSTR model, which solves the problem of non-linear relationship of panel data, is suitable for beginners to use.)

代码详细解释了bagging方法的运用，以及包含了详细的bagging代码(The code explains the application of bagging method in detail, and contains detailed bagging code.)

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.)

实现xgboost算法，对实现分类和预测具有良好的效果(The implementation of xgboost algorithm has a good effect on classification and prediction)

The source code of data analysis using R language does not contain data sets. If you need to contact us

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)

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：  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)