R语言与社会科学调查数据分析
| 书 名： |
R语言与社会科学调查数据分析 |
| 作 者： |
谢颖 |
| I S B N： |
978-7-5201-3119-3 |
| 关 键 词： |
R语言 社会科学 数据处理 |
| 出版日期： |
2018-08-01 |
中文摘要
作者运用R语言，分析中国综合社会调查数据，涵盖了初级的描述性统计、简单的回归模型、中阶的广义线性回归、二值型回归、泊松回归模型、高阶的匹配模型、主成分分析、机器学习等内容。本书通过可复制的代码、模型原理解读和丰富的图表，展现了如何将R语言应用在社会科学的研究中。
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CommonID:DIR_70372061,ID:10000024,SiteID:14,Type:formerAidText,Code:null,ParentId:0,InnerCode:624359,name:前言,ShortName:,SubName:,EnTitle:null,EnShortTitle:null,EnSubTitle:null,Level:0,BookId:9999990,AbstractCH:null,AbstractEN:null,KeyWords:null,EKeyWords:null,SubjectWords:null,LiteratureId:10000023,Fileref:null,OrderFlag:0,IsLeaf:Y,PubDate:null,FindDate:null,IssueDate:null,DocType:null,ProductSeries:null,Doi:null,InstanceID:0,MinNodeSearch:null,XmlID:null,Prop1:null,Prop2:null,Prop3:null,prop4:null,AddUser:wanghan,AddTime:2018-09-03 09:39:57.0,ModifyUser:Admin,ModifyTime:2022-11-18 16:22:14.0,HitCount:0,ShowType:putong,LogoID:0,PdfID:0,DownCount:0,AuthorInfos:null,BookPublishDate:2018-08-01 00:00:00.0,SearchTitle:前言,ISBN:978-7-5201-3119-3,BookTitle:R语言与社会科学调查数据分析,BookStatus:7,AllowDownload:Y,BookVersionNum:null,researchorg:null,CopyRightDate:null,ExcellentPeriod:null,PrizeLevel:null,IsExcellence:null,ContentClass:null,IsDisabled:N,SearchTitle_2:前言,_RowNo:1
CommonID:DIR_70372062,ID:10000028,SiteID:14,Type:chapter,Code:null,ParentId:0,InnerCode:624360,name:第一章 R语言简介,ShortName:,SubName:,EnTitle:,EnShortTitle:,EnSubTitle:,Level:0,BookId:9999990,AbstractCH:免费开放、功能强大的R语言数据科学分析日渐流行。R语言的功能每天都在扩展，用户每天都在增多。现在，R语言已经成为诸多名校统计学课堂上的首选软件，是定量研究最受欢迎的工具之一。本书利用R语言分析中国综合社会调查数据。该调查数据对研究者开放，方便获取。数据分析过程可复制，开源，可以有效地帮助读者进行学习、研究。和市场上一般的R语言书不同，本书基于真实的调查数据，贴近数据学习和科研分析的真实过程，从读入原始数据开始，逐渐深入。全书内容完整涵盖描述性统计分析、图表呈现、简单回归分析、广义回归模型、因子分析等主流统计教程的方法，适合各层次的读者参考。作为日渐流行的分析工具，R语言在社会科学中的应用方兴未艾。通过学习R语言，能打开新知识的大门，探索开源统计软件的魅力，跟踪学习新的方法，扩充研究的方法，更好地完成研究课题和论文写作。,AbstractEN:,KeyWords:636865,36620,417088,EKeyWords:636866,36623,417091,SubjectWords:,LiteratureId:10000027,Fileref:null,OrderFlag:0,IsLeaf:Y,PubDate:null,FindDate:null,IssueDate:null,DocType:null,ProductSeries:null,Doi:null,InstanceID:0,MinNodeSearch:Y,XmlID:b120180801X20183606001_000_001,Prop1:null,Prop2:null,Prop3:null,prop4:null,AddUser:wanghan,AddTime:2018-09-03 09:39:57.0,ModifyUser:Admin,ModifyTime:2022-11-18 16:22:14.0,HitCount:30,ShowType:putong,LogoID:0,PdfID:10000033,DownCount:32,AuthorInfos:,BookPublishDate:2018-08-01 00:00:00.0,SearchTitle:R语言简介,ISBN:978-7-5201-3119-3,BookTitle:R语言与社会科学调查数据分析,BookStatus:7,AllowDownload:Y,BookVersionNum:,researchorg:,CopyRightDate:null,ExcellentPeriod:,PrizeLevel:,IsExcellence:N,ContentClass:,IsDisabled:N,SearchTitle_2:R语言简介,_RowNo:2
CommonID:DIR_70372063,ID:10000045,SiteID:14,Type:chapter,Code:null,ParentId:0,InnerCode:624361,name:第二章 数据读入与清理,ShortName:,SubName:,EnTitle:,EnShortTitle:,EnSubTitle:,Level:0,BookId:9999990,AbstractCH:从本文开始，我们利用R语言展开对中国综合社会调查数据的研究。分析从零开始，由浅入深，将涵盖描述性统计、回归分析、匹配模型、机器学习等社会科学研究中的常用方法。,AbstractEN:,KeyWords:636865,636869,417088,EKeyWords:636866,408909,417091,SubjectWords:,LiteratureId:10000043,Fileref:null,OrderFlag:0,IsLeaf:N,PubDate:null,FindDate:null,IssueDate:null,DocType:null,ProductSeries:null,Doi:null,InstanceID:0,MinNodeSearch:Y,XmlID:b120180801X20183606001_000_002,Prop1:null,Prop2:null,Prop3:null,prop4:null,AddUser:wanghan,AddTime:2018-09-03 09:39:57.0,ModifyUser:Admin,ModifyTime:2022-11-18 16:22:14.0,HitCount:34,ShowType:putong,LogoID:0,PdfID:10000046,DownCount:30,AuthorInfos:,BookPublishDate:2018-08-01 00:00:00.0,SearchTitle:R语言的数据读入与清理,ISBN:978-7-5201-3119-3,BookTitle:R语言与社会科学调查数据分析,BookStatus:7,AllowDownload:Y,BookVersionNum:,researchorg:,CopyRightDate:null,ExcellentPeriod:,PrizeLevel:,IsExcellence:N,ContentClass:,IsDisabled:N,SearchTitle_2:R语言的数据读入与清理,_RowNo:3
CommonID:DIR_70372068,ID:10000052,SiteID:14,Type:chapter,Code:null,ParentId:0,InnerCode:624362,name:第三章 描述性统计分析,ShortName:,SubName:,EnTitle:,EnShortTitle:,EnSubTitle:,Level:0,BookId:9999990,AbstractCH:在实际的研究报告和论文写作中，通常我们要进行简单的描述性统计，为进一步的研究打下基础，提供背景材料。基于此，本文对获取到的数据运用R语言进行了描述性统计分析。,AbstractEN:,KeyWords:36620,636865,31407,EKeyWords:36623,636866,33606,SubjectWords:,LiteratureId:10000050,Fileref:null,OrderFlag:0,IsLeaf:N,PubDate:null,FindDate:null,IssueDate:null,DocType:null,ProductSeries:null,Doi:null,InstanceID:0,MinNodeSearch:Y,XmlID:b120180801X20183606001_000_003,Prop1:null,Prop2:null,Prop3:null,prop4:null,AddUser:wanghan,AddTime:2018-09-03 09:39:57.0,ModifyUser:Admin,ModifyTime:2022-11-18 16:22:14.0,HitCount:29,ShowType:putong,LogoID:0,PdfID:10000055,DownCount:34,AuthorInfos:,BookPublishDate:2018-08-01 00:00:00.0,SearchTitle:R语言进行描述性统计分析,ISBN:978-7-5201-3119-3,BookTitle:R语言与社会科学调查数据分析,BookStatus:7,AllowDownload:Y,BookVersionNum:,researchorg:,CopyRightDate:null,ExcellentPeriod:,PrizeLevel:,IsExcellence:N,ContentClass:,IsDisabled:N,SearchTitle_2:R语言进行描述性统计分析,_RowNo:4
CommonID:DIR_70372073,ID:10000063,SiteID:14,Type:chapter,Code:null,ParentId:0,InnerCode:624363,name:第四章 简单线性回归,ShortName:,SubName:,EnTitle:,EnShortTitle:,EnSubTitle:,Level:0,BookId:9999990,AbstractCH:本文首先介绍了简单的线性回归模型，其次分析了简单线性回归中的具体模型参数，再次分析了R语言中进行线性回归模型所需要的包，最后展示了高阶拟合模型。,AbstractEN:,KeyWords:636865,122382,36620,EKeyWords:636866,141015,36623,SubjectWords:,LiteratureId:10000062,Fileref:null,OrderFlag:0,IsLeaf:N,PubDate:null,FindDate:null,IssueDate:null,DocType:null,ProductSeries:null,Doi:null,InstanceID:0,MinNodeSearch:Y,XmlID:b120180801X20183606001_000_004,Prop1:null,Prop2:null,Prop3:null,prop4:null,AddUser:wanghan,AddTime:2018-09-03 09:39:57.0,ModifyUser:Admin,ModifyTime:2022-11-18 16:22:14.0,HitCount:13,ShowType:putong,LogoID:0,PdfID:10000064,DownCount:30,AuthorInfos:,BookPublishDate:2018-08-01 00:00:00.0,SearchTitle:R语言进行简单线性回归,ISBN:978-7-5201-3119-3,BookTitle:R语言与社会科学调查数据分析,BookStatus:7,AllowDownload:Y,BookVersionNum:,researchorg:,CopyRightDate:null,ExcellentPeriod:,PrizeLevel:,IsExcellence:N,ContentClass:,IsDisabled:N,SearchTitle_2:R语言进行简单线性回归,_RowNo:5
CommonID:DIR_70372080,ID:10000069,SiteID:14,Type:chapter,Code:null,ParentId:0,InnerCode:624364,name:第五章 多元线性回归,ShortName:,SubName:,EnTitle:,EnShortTitle:,EnSubTitle:,Level:0,BookId:9999990,AbstractCH:在社会科学的研究中，影响因变量的因素不可能是单一的。因此，实际的定量研究成果中，我们一般会使用多元回归模型。基于此，本文首先介绍了如何对多元线性回归进行拟合，其次介绍了变量如何重编码，再次介绍了R语言可以进行的模型汇总以及交互效应模型，最后进行了可视化分析。,AbstractEN:,KeyWords:636865,538810,36620,EKeyWords:636866,538812,36623,SubjectWords:,LiteratureId:10000067,Fileref:null,OrderFlag:0,IsLeaf:N,PubDate:null,FindDate:null,IssueDate:null,DocType:null,ProductSeries:null,Doi:null,InstanceID:0,MinNodeSearch:Y,XmlID:b120180801X20183606001_000_005,Prop1:null,Prop2:null,Prop3:null,prop4:null,AddUser:wanghan,AddTime:2018-09-03 09:39:58.0,ModifyUser:Admin,ModifyTime:2022-11-18 16:22:14.0,HitCount:21,ShowType:putong,LogoID:0,PdfID:10000073,DownCount:30,AuthorInfos:,BookPublishDate:2018-08-01 00:00:00.0,SearchTitle:R语言进行多元线性回归,ISBN:978-7-5201-3119-3,BookTitle:R语言与社会科学调查数据分析,BookStatus:7,AllowDownload:Y,BookVersionNum:,researchorg:,CopyRightDate:null,ExcellentPeriod:,PrizeLevel:,IsExcellence:N,ContentClass:,IsDisabled:N,SearchTitle_2:R语言进行多元线性回归,_RowNo:6
CommonID:DIR_70372086,ID:10000079,SiteID:14,Type:chapter,Code:null,ParentId:0,InnerCode:624365,name:第六章 二分变量回归,ShortName:,SubName:,EnTitle:,EnShortTitle:,EnSubTitle:,Level:0,BookId:9999990,AbstractCH:当因变量Y不是连续变量，而是分类变量时，我们就要利用广义线性模型（Generalized Linear Model）进行分析。本文前述模型中的工资变量是连续的数值型变量，现在我们将其重新编码成分类变量，用于后续的建模。本文首先对二分变量回归进行简单介绍，其次利用R语言实现了二分变量回归，最后进行了可视化分析。,AbstractEN:,KeyWords:636865,636870,36620,EKeyWords:636866,636871,36623,SubjectWords:,LiteratureId:10000076,Fileref:null,OrderFlag:0,IsLeaf:N,PubDate:null,FindDate:null,IssueDate:null,DocType:null,ProductSeries:null,Doi:null,InstanceID:0,MinNodeSearch:Y,XmlID:b120180801X20183606001_000_006,Prop1:null,Prop2:null,Prop3:null,prop4:null,AddUser:wanghan,AddTime:2018-09-03 09:39:58.0,ModifyUser:Admin,ModifyTime:2022-11-18 16:22:14.0,HitCount:10,ShowType:putong,LogoID:0,PdfID:10000082,DownCount:26,AuthorInfos:,BookPublishDate:2018-08-01 00:00:00.0,SearchTitle:R语言进行二分变量回归,ISBN:978-7-5201-3119-3,BookTitle:R语言与社会科学调查数据分析,BookStatus:7,AllowDownload:Y,BookVersionNum:,researchorg:,CopyRightDate:null,ExcellentPeriod:,PrizeLevel:,IsExcellence:N,ContentClass:,IsDisabled:N,SearchTitle_2:R语言进行二分变量回归,_RowNo:7
CommonID:DIR_70372092,ID:10000088,SiteID:14,Type:chapter,Code:null,ParentId:0,InnerCode:624366,name:第七章 广义线性模型扩展：泊松回归,ShortName:,SubName:,EnTitle:,EnShortTitle:,EnSubTitle:,Level:0,BookId:9999990,AbstractCH:本文首先以幸福感分析为例介绍了泊松回归，其次对泊松回归中的参数进行解读以及对模型是否合理进行诊断，最后进行了模型扩展分析以及可视化分析。,AbstractEN:,KeyWords:636865,636872,36620,EKeyWords:636866,636873,36623,SubjectWords:,LiteratureId:10000087,Fileref:null,OrderFlag:0,IsLeaf:N,PubDate:null,FindDate:null,IssueDate:null,DocType:null,ProductSeries:null,Doi:null,InstanceID:0,MinNodeSearch:Y,XmlID:b120180801X20183606001_000_007,Prop1:null,Prop2:null,Prop3:null,prop4:null,AddUser:wanghan,AddTime:2018-09-03 09:39:58.0,ModifyUser:Admin,ModifyTime:2022-11-18 16:22:14.0,HitCount:15,ShowType:putong,LogoID:0,PdfID:10000091,DownCount:26,AuthorInfos:,BookPublishDate:2018-08-01 00:00:00.0,SearchTitle:R语言进行广义线性模型扩展：泊松回归,ISBN:978-7-5201-3119-3,BookTitle:R语言与社会科学调查数据分析,BookStatus:7,AllowDownload:Y,BookVersionNum:,researchorg:,CopyRightDate:null,ExcellentPeriod:,PrizeLevel:,IsExcellence:N,ContentClass:,IsDisabled:N,SearchTitle_2:R语言进行广义线性模型扩展：泊松回归,_RowNo:8
CommonID:DIR_70372096,ID:10000097,SiteID:14,Type:chapter,Code:null,ParentId:0,InnerCode:624367,name:第八章 有序因变量回归,ShortName:,SubName:,EnTitle:,EnShortTitle:,EnSubTitle:,Level:0,BookId:9999990,AbstractCH:在社会科学研究中，我们会经常碰到可以分出“高低”或者给出次序的分类变量或离散变量，这类变量称为定序变量（ordinal variable），比如职业声望、阶层高低、政治态度、满意度（很满意、满意、不满意、很不满意）等。我们可以采用有序结果变量回归（Ordinal Regression）来处理此类问题，该模型提供高低不同层次之间的两两比较和累计概率，能为研究者提供更丰富的信息。基于此，本文首先介绍了有序因变量回归如何进行建模以及参数解读，其次进行了有序因变量回归扩展，最后进行了可视化分析。,AbstractEN:,KeyWords:636865,636876,36620,EKeyWords:636866,636877,36623,SubjectWords:,LiteratureId:10000096,Fileref:null,OrderFlag:0,IsLeaf:N,PubDate:null,FindDate:null,IssueDate:null,DocType:null,ProductSeries:null,Doi:null,InstanceID:0,MinNodeSearch:Y,XmlID:b120180801X20183606001_000_008,Prop1:null,Prop2:null,Prop3:null,prop4:null,AddUser:wanghan,AddTime:2018-09-03 09:39:58.0,ModifyUser:Admin,ModifyTime:2022-11-18 16:22:14.0,HitCount:16,ShowType:putong,LogoID:0,PdfID:10000102,DownCount:26,AuthorInfos:,BookPublishDate:2018-08-01 00:00:00.0,SearchTitle:R语言进行有序因变量回归,ISBN:978-7-5201-3119-3,BookTitle:R语言与社会科学调查数据分析,BookStatus:7,AllowDownload:Y,BookVersionNum:,researchorg:,CopyRightDate:null,ExcellentPeriod:,PrizeLevel:,IsExcellence:N,ContentClass:,IsDisabled:N,SearchTitle_2:R语言进行有序因变量回归,_RowNo:9
CommonID:DIR_70372100,ID:10000112,SiteID:14,Type:chapter,Code:null,ParentId:0,InnerCode:624368,name:第九章 匹配模型,ShortName:,SubName:,EnTitle:,EnShortTitle:,EnSubTitle:,Level:0,BookId:9999990,AbstractCH:匹配模型试图在社会科学研究中模拟实验的方法，分成“对照组”和“实验组”，来研究某个因素对结果的影响。比如要估算高等教育对个人收入的影响，不能简单地对比大学毕业群体与只有高中学历群体的收入。基于此，本文运用案例展示了匹配模型，其次对匹配模型的结果进行可视化分析。,AbstractEN:,KeyWords:636865,636879,36620,EKeyWords:636866,636880,36623,SubjectWords:,LiteratureId:10000110,Fileref:null,OrderFlag:0,IsLeaf:N,PubDate:null,FindDate:null,IssueDate:null,DocType:null,ProductSeries:null,Doi:null,InstanceID:0,MinNodeSearch:Y,XmlID:b120180801X20183606001_000_009,Prop1:null,Prop2:null,Prop3:null,prop4:null,AddUser:wanghan,AddTime:2018-09-03 09:39:58.0,ModifyUser:Admin,ModifyTime:2022-11-18 16:22:14.0,HitCount:13,ShowType:putong,LogoID:0,PdfID:10000117,DownCount:26,AuthorInfos:,BookPublishDate:2018-08-01 00:00:00.0,SearchTitle:R语言进行匹配模型,ISBN:978-7-5201-3119-3,BookTitle:R语言与社会科学调查数据分析,BookStatus:7,AllowDownload:Y,BookVersionNum:,researchorg:,CopyRightDate:null,ExcellentPeriod:,PrizeLevel:,IsExcellence:N,ContentClass:,IsDisabled:N,SearchTitle_2:R语言进行匹配模型,_RowNo:10
CommonID:DIR_70372103,ID:10000124,SiteID:14,Type:chapter,Code:null,ParentId:0,InnerCode:624369,name:第十章 主成分与因子分析,ShortName:,SubName:,EnTitle:,EnShortTitle:,EnSubTitle:,Level:0,BookId:9999990,AbstractCH:在社会调查中，为了全面分析某问题，往往罗列多个因素，每个因素反映特定维度的信息。主成分分析和因子分析可以降维，用处理后的少量变量来代表多个原始变量的信息。基于此，本文首先介绍了进行主成分分析所需要的数据，其次对主成分分析的结果进行解读，最后进行因子分析。,AbstractEN:,KeyWords:636865,48464,36620,EKeyWords:636866,36608,36623,SubjectWords:,LiteratureId:10000122,Fileref:null,OrderFlag:0,IsLeaf:N,PubDate:null,FindDate:null,IssueDate:null,DocType:null,ProductSeries:null,Doi:null,InstanceID:0,MinNodeSearch:Y,XmlID:b120180801X20183606001_000_010,Prop1:null,Prop2:null,Prop3:null,prop4:null,AddUser:wanghan,AddTime:2018-09-03 09:39:58.0,ModifyUser:Admin,ModifyTime:2022-11-18 16:22:14.0,HitCount:16,ShowType:putong,LogoID:0,PdfID:10000127,DownCount:26,AuthorInfos:,BookPublishDate:2018-08-01 00:00:00.0,SearchTitle:R语言进行主成分与因子分析,ISBN:978-7-5201-3119-3,BookTitle:R语言与社会科学调查数据分析,BookStatus:7,AllowDownload:Y,BookVersionNum:,researchorg:,CopyRightDate:null,ExcellentPeriod:,PrizeLevel:,IsExcellence:N,ContentClass:,IsDisabled:N,SearchTitle_2:R语言进行主成分与因子分析,_RowNo:11
CommonID:DIR_70372107,ID:10000135,SiteID:14,Type:chapter,Code:null,ParentId:0,InnerCode:624370,name:第十一章 机器学习,ShortName:,SubName:,EnTitle:,EnShortTitle:,EnSubTitle:,Level:0,BookId:9999990,AbstractCH:机器学习现在炙手可热，我们可以将其应用在社会科学调查数据分析中。利用CGSS数据，我们演示两种机器学习算法：决策树和神经网络。基于此，本文首先对非平衡数据进行预处理，其次进行决策树和神经网络建模与结果分析。,AbstractEN:,KeyWords:636865,370619,414497,379182,EKeyWords:636866,370621,425795,334188,SubjectWords:,LiteratureId:10000132,Fileref:null,OrderFlag:0,IsLeaf:N,PubDate:null,FindDate:null,IssueDate:null,DocType:null,ProductSeries:null,Doi:null,InstanceID:0,MinNodeSearch:Y,XmlID:b120180801X20183606001_000_011,Prop1:null,Prop2:null,Prop3:null,prop4:null,AddUser:wanghan,AddTime:2018-09-03 09:39:58.0,ModifyUser:Admin,ModifyTime:2022-11-18 16:22:14.0,HitCount:36,ShowType:putong,LogoID:0,PdfID:10000136,DownCount:37,AuthorInfos:,BookPublishDate:2018-08-01 00:00:00.0,SearchTitle:R语言进行机器学习,ISBN:978-7-5201-3119-3,BookTitle:R语言与社会科学调查数据分析,BookStatus:7,AllowDownload:Y,BookVersionNum:,researchorg:,CopyRightDate:null,ExcellentPeriod:,PrizeLevel:,IsExcellence:N,ContentClass:,IsDisabled:N,SearchTitle_2:R语言进行机器学习,_RowNo:12
CommonID:DIR_70372112,ID:10000144,SiteID:14,Type:chapter,Code:null,ParentId:0,InnerCode:624371,name:结语,ShortName:,SubName:,EnTitle:,EnShortTitle:,EnSubTitle:,Level:0,BookId:9999990,AbstractCH:本文完成了如何从零开始，利用R读入网上下载的中国综合社会调查数据（2015）的Stata 14版本数据，进行数据清理，描述性统计、含交互项的回归分析、广义回归模型、匹配模型和简单机器学习模型的建模。统计学习最重要的是不断实践，在实践中发现问题、解决问题、解释发现。读者运行书中的代码，即可重复文中的分析过程。,AbstractEN:,KeyWords:636865,36620,31407,370619,EKeyWords:636866,36623,33606,370621,SubjectWords:,LiteratureId:10000139,Fileref:null,OrderFlag:0,IsLeaf:Y,PubDate:null,FindDate:null,IssueDate:null,DocType:null,ProductSeries:null,Doi:null,InstanceID:0,MinNodeSearch:Y,XmlID:b120180801X20183606001_000_012,Prop1:null,Prop2:null,Prop3:null,prop4:null,AddUser:wanghan,AddTime:2018-09-03 09:39:58.0,ModifyUser:Admin,ModifyTime:2022-11-18 16:22:14.0,HitCount:11,ShowType:putong,LogoID:0,PdfID:10000146,DownCount:24,AuthorInfos:,BookPublishDate:2018-08-01 00:00:00.0,SearchTitle:R语言与社会科学调查数据分析结语,ISBN:978-7-5201-3119-3,BookTitle:R语言与社会科学调查数据分析,BookStatus:7,AllowDownload:Y,BookVersionNum:,researchorg:,CopyRightDate:null,ExcellentPeriod:,PrizeLevel:,IsExcellence:N,ContentClass:,IsDisabled:N,SearchTitle_2:R语言与社会科学调查数据分析结语,_RowNo:13
CommonID:DIR_70372113,ID:10000152,SiteID:14,Type:backAidText,Code:null,ParentId:0,InnerCode:624372,name:附录 参考R包,ShortName:,SubName:,EnTitle:null,EnShortTitle:null,EnSubTitle:null,Level:0,BookId:9999990,AbstractCH:null,AbstractEN:null,KeyWords:null,EKeyWords:null,SubjectWords:null,LiteratureId:10000150,Fileref:null,OrderFlag:0,IsLeaf:Y,PubDate:null,FindDate:null,IssueDate:null,DocType:null,ProductSeries:null,Doi:null,InstanceID:0,MinNodeSearch:null,XmlID:null,Prop1:null,Prop2:null,Prop3:null,prop4:null,AddUser:wanghan,AddTime:2018-09-03 09:39:58.0,ModifyUser:Admin,ModifyTime:2022-11-18 16:22:14.0,HitCount:0,ShowType:putong,LogoID:0,PdfID:0,DownCount:0,AuthorInfos:null,BookPublishDate:2018-08-01 00:00:00.0,SearchTitle:参考R包,ISBN:978-7-5201-3119-3,BookTitle:R语言与社会科学调查数据分析,BookStatus:7,AllowDownload:Y,BookVersionNum:null,researchorg:null,CopyRightDate:null,ExcellentPeriod:null,PrizeLevel:null,IsExcellence:null,ContentClass:null,IsDisabled:N,SearchTitle_2:参考R包,_RowNo:14
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