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GARCH in mean VAR
说明： 一篇论文的GARCH in mean VAR(GARCH in mean VAR of a published paper)
- 2020-06-19 01:00:02下载
- 积分：1
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how to import data into R
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)
- 2018-06-13 21:26:22下载
- 积分：1
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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)
- 2018-03-16 12:27:40下载
- 积分：1
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wine
葡萄酒数据集， 基于Wine数据集的数据分析报告 R语言+实验结果文档(Wine datasets
Data Analysis Report R Language + Experimental Results Document Based on Wine Data Set)
- 2020-07-20 16:48:47下载
- 积分：1
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GARCH in mean VAR
一篇论文的GARCH in mean VAR(GARCH in mean VAR of a published paper)
- 2020-06-19 01:00:02下载
- 积分：1
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GEOquery
说明： 从GEO数据库下载原始数据，提取数据中的表达值(Download raw data from the GEO database and extract the expression values in the data)
- 2020-06-21 06:20:02下载
- 积分：1
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R语言实战（第2版）中文
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.)
- 2020-06-25 16:40:02下载
- 积分：1
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R数据可视化手册
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.)
- 2018-07-09 10:43:41下载
- 积分：1
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11-27-model
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)
- 2018-03-19 20:53:48下载
- 积分：1
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环境与生态统计__R语言的应用_钱松著_12979948
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.)
- 2017-11-17 20:14:49下载
- 积分：1
