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4建模分析股票市场数据
- 建模分析股票市场数据，利用R语言进行数据分析，包括画图(Modeling and analyzing stock market data)
Package'kernlab'使用说明文档2012版
- R语言中的kernlab包使用说明手册，kernlab是R语言中一个常用的机器学习包，为基于核函数的学习方法提供了一个灵活的框架(The kernlab package instruction manual in R language. Kernlab is a commonly used machine learning package in R language. It provides a flexible framework for kernel based learning metho
W''(4,6,9)
- 利用R语言生成windmill图，用于复杂网络仿真和分析(A windmill graph generated by R language)
决策树
- 利用R语言实现决策树，使用 party 包构建决策树，使用 rpart 包构建决策树，以及随机森林的构建(using R language analyizing ...)
predict_Bayesian Network
- 贝叶斯网络预测篮球队胜负，使用了爬山学习算法(The Bias network predicts the winning and negative of the basketball team and uses the mountain climbing algorithm.)
chapter10
- 数据分析与挖掘实战张良军，用R语言实现数据挖掘，具有较强大的功能(Data analysis and actual combat)
2016_Analysis_of_Financial_Time_Series
- 蔡瑞胸时间序列讲义，内包含计量常用方法和相应的r语言程序(time series lecture by Ruet S.Tsay , which contains the commonly used methods in econometrics and the corresponding R language program.)
C语言_K&R
- C Programmin Language K & R 2nd edition
文本分析聚类实战
- 文本挖掘是从大量的文本数据中抽取隐含的，求和的，可能有用的信息。 通过文本挖掘实现 ?Associate：关联分析，根据同时出现的频率找出关联规则 ?Cluster：将相似的文档（词条）进行聚类 ?Categorize：将文本划分到预先定义的类别里(Text mining is a kind of information that is extracted from a large number of text data, which may be useful. Implementa
统计建模 material and assignment
- 此为统计建模资料，里面有相关R语言的学习(this is for statistic,there are something about R)
222
- R语言出入数据，使小白可以更加方便地导入数据(The R language goes in and out of the data, making it more convenient to import data)
ARMA模型
- R语言ARMA模型编写范例，使用R语言对金融时间序列数据进行ARMA模型拟合(The example of analyze finicial data through ARMA model using R software)
Sem
- 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)
regression
- r语言做regression,选择取log的形式(The R language for regression, choosing the form of log)
rLingo_15.0.tar
- lingo，R语言，lingo为15版本。(lingo&R, lingo version 15.)
midasr_0.6.tar
- 混频回归模型的r语言包，里边包括例题啥的。(The package of midas (mixed frequecncy), which includes the concrete code of some examples.)
计算VaR
- 在各种边缘分布状态下，计算序列的风险值，尤其适用于极值理论。(Calculation of risk values)
高级分类器：支持向量机( SVM)
- 利用R语言实现高级分类器,支持向量机( SVM)(Advanced classifier, support vector machine (SVM))
数据整合和数据清洗
- R语言数据整理和数据清理的例子，包括缺失值处理，排序，筛选等处理方法(An example of R language data sorting and data cleaning)
DNMF
- DNMF在matlab中的实现，基于R语言的示例改写(Discriminant Non-Negative Matrix Factorization aims to extend the Non-negative Matrix Factorization algorithm in order to extract features that enforce not only the spatial locality, but also the separability between classe