R数据可视化手册

结合案例来描述每一种统计学模型，解释如何开展数据分析，讨论采用模拟手段来检验模型，这是模型开发与评估中的重要方面，给出多层回归模型（如多层ANOVA、多层线性回归和广义多层模型），指导如何用R语言采实现诸多方法，在线提供书中所用到的数据集和R语言脚本。(Combined with the case to describe each kind of statistical model, how to carry out data analysis and interpretation, discusses the use of simulation to test the model, this is an important aspect of the development and evaluation of the model, given the multi regression model (such as multilayer ANOVA, multi linear regression and generalized multi model), how to achieve a lot of mining method with the R language guide online provide the data set and the R script used in the book.)

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

说明：  对卡方检验进行拟合，计算理论分布，计算理论概率，作出检验(Fit chi square test, calculate theoretical distribution, calculate theoretical probability and make test)

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)

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

利用R语言SEM程序包进行通径分析，简单易学，容易上手(SEM path analysis model)

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

利用R软件建立混合效应模型，对于不同随机效应参数的混合模型进行对比(develop the mixed-effects models and compare the goodness-of-fit)

关于时间序列的蒙特卡洛模拟,涉及一些简单的时间序列模型(monte carlo simulation of time series)