logo jamovi

The jamovi project (2021). jamovi (Version 1.6) [Computer Software]. Retrieved from https://www.jamovi.org

team jamovi

official website:https://www.jamovi.org/

Github: https://github.com/jamovi

softpededia:https://www.softpedia.com/get/Science-CAD/jamovi.shtml

jamovi is a free, open-source data analysis application that bridges the gap between the freedom and power of R and the accessibility of SPSS.

 jamovi是一个开源免费、操作简单的统计分析软件,兼容R软件,替代SPSS等软件。


下列关于jamovi的简介来自http://www.obhrm.net/index.php/Jamovi

jamovi是在R语言基础上开发出来的免费开源统计分析软件,其操作与界面与SPSS非常相似。jamovi的特点如下:

1、开源软件。jamovi属于开源软件,全球任何人均可以下载使用,用jamovi进行统计分析,是免费用正版软件进行统计分析。

2、轻巧型软件。Windows版jamovi程序总共不到250M,属于特别轻巧的统计分析程序。

3、操作简单、方便。jamovi的操作界面类似于SPSS,使用非常方便。

4、保存结果的同时保存分析过程。他人在拿到结果的同时,能看到分析的过程,并重现所有的分析过程。

5、可以进行多种统计分析。jamovi本身包括t检验、ANOVA, 相关与回归分析,因子分析(包括探索性因子分析与验证性因子分析)等基本统计分析,是本科生与硕士研究生学习统计分析的极佳工具。

6、可扩充性。jamovi可以加载模块(Modules),加载(Modules)后可以实现更多的统计分析,包括元分析、功效分析(Power analysis)、中介与调节模型分析、贝叶斯方法等。

7、动态生成报告。在统计分析时,动态呈现对应的统计分析结果。

8、自动生成三横线表格,可以直接复制粘贴到WORD和Excel中,稍加编辑就是可用来报告的表格。

9、与R无缝对接。加载Rj模块后,可以在jamovi中用R进行统计分析;jamovi在R中有一个包 - jmv,加载该包,可以在R中运行并实现jamovi的全部功能。jmv包的网址:https://cran.r-project.org/web/packages/jmv/index.html

jamovi screenshot

  

jamovi1

 

jamovi2

 


学习资源:

2.1 blogs

Heo, I., & Van de Schoot, R. (2020, November). Tutorial: jamovi for beginners. Zenodo. https://doi.org/10.5281/zenodo.4008373

https://www.rensvandeschoot.com/tutorials/jamovi-for-beginners/

知乎上的介绍文章

https://zhuanlan.zhihu.com/p/32284386

 

2.2 books

Navarro DJ and Foxcroft DR (2019). learning statistics with jamovi: a tutorial for psychology students and other beginners. (Version 0.70). DOI: 10.24384/hgc3-7p15

https://www.learnstatswithjamovi.com/

cover Learning statistics with jamovi

Strunk, K. K., & Mwavita, M. (2021). Design and Analysis in Educational Research Using Jamovi: Anova Designs. Routledge.

Design and Analysis in Educational Research Using jamovi

2.3 online courses

linkedin learning(lynda

https://www.lynda.com/jamovi-tutorials/Introduction-jamovi/5016725-2.html?org=rlq

jamovi is a free, open-source data analysis application that bridges the gap between the freedom and power of R and the accessibility of SPSS. In this course, learn how to do data analysis that's both fast and friendly with jamovi. Instructor Barton Poulson demonstrates how to install jamovi and third-party modules, import and wrangle data, create visualizations based on ggplot2, and analyze data using advanced methods. Plus, see how to share your work with unified files and collaborate with the Open Science Framework (OSF).

Topics include:
  • Navigating jamovi
  • jamovi modules
  • Entering and importing data
  • Working with box, dot, and bar plots
  • T-tests
  • Analysis of variance (ANOVA)
  • Linear and binomial logistic regression
  • Log-linear regression
  • Exploratory factor analysis

 jamovi lynda

 

 

udemy课程

https://www.udemy.com/course/jamovicourse/

Jamovi: A Powerful R-based Statistical Analyses Tool
Create Cool Awesome Visualizations and Analyse Data using an Open Source Free R-based GUI.

 

听了得到app,卓克.科技参考
088 人口1:剧烈波动的历史,提及《柳叶刀》(The Lancet)杂志2020年6月发表的一篇论文,预测了2100年的世界人口,找来看看,很有意思。
 
Vollset, S. E., Goren, E., Yuan, C.-W., Cao, J., Smith, A. E., Hsiao, T., Bisignano, C., Azhar, G. S., Castro, E., Chalek, J., Dolgert, A. J., Frank, T., Fukutaki, K., Hay, S. I., Lozano, R., Mokdad, A. H., Nandakumar, V., Pierce, M., Pletcher, M., … Murray, C. J. L. (2020). Fertility, Mortality, Migration, and Population Scenarios for 195 Countries and Territories from 2017 to 2100: A Forecasting Analysis for the Global Burden of Disease Study. The Lancet, 396(10258), 1285–1306. https://doi.org/10.1016/S0140-6736(20)30677-2
 
 
论文全文
https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(20)30677-2/fulltext
附录1

https://www.thelancet.com/cms/10.1016/S0140-6736(20)30677-2/attachment/6e4b1654-0659-429e-a974-a3eed5412a48/mmc1.pdf

附录2

population2017

 

population2100


数据分享
To download GBD data used in these analyses, please visit the Global Health Data Exchange GBD 2017 website. For more information on the data included in these analyses, see appendix 1, section 2.
Editorial note: the Lancet Group takes a neutral position with respect to territorial claims in published maps and institutional affiliations.
程序代码(python)

http://ghdx.healthdata.org/gbd-2017/code

gbd2017A

gbd2017b



数据可视化

https://vizhub.healthdata.org/population-forecast/

世界人口结构变化1950-2100(2017年以后为预测值)

 
 
 
 
 
 
 中国人口结构变化1950-2100(2017年以后为预测值)

 

 

population1950China

 

 

population1978China

 

 

population2000China

 

 

population2017China

 

population2050China

 

 

population2100China

 

 
 
 

TED: Giorgia Lupi: How we can find ourselves in data

视频时长:11:30

发布时间:2017年3月

观看次数:1322757次观看(2021-1-26)

 

te How we can find ourselves in data

 

 

腾讯视频(英文字幕)
https://v.qq.com/x/page/t0391sn6g42.html



网盘视频(中文字幕)

链接: https://pan.baidu.com/s/1E503na-wGGxYKgPz8T4cYw

提取码: w9hg 

  


Lupi, G., Posavec, S., Popova, M. (2016). Dear Data: A Friendship in 52 Weeks of Postcards. Princeton Architectural Press. https://www.amazon.com/dp/1616895322

 

 

 

 

作者:尤瓦尔·诺亚·赫拉利(Yuval Noah Harari)牛津大学历史学博士,希伯来大学的历史系教授,代表作品《人类简史:从动物到上帝》(Sapiens: A Brief History of Humankind

cover 人类简史

cover Sapiens A Brief History of Humankind

 

视频网址:

https://www.ted.com/talks/yuval_noah_harari_what_explains_the_rise_of_humans

https://v.qq.com/x/cover/f4d38nttc23jj1p/i0169izn04i.html

https://www.bilibili.com/video/BV19W411h79z

 

(1)个体层面,人类与动物没有显著差异,甚至我们的能力不如动物。

(2)群体层面,我们人类是地球的霸主。我们通过语言,可以让陌生人大规模、灵活的的合作;我们合作的广度、深度,都是动物无法比拟的

(3)我们为什么可以大规模灵活的合作呢?我们生活在两个真实之中:reality、imagined reality

(4)随着人类的发展,想象的真实(reality)越来越重要。


TED:

 

腾讯视频:人类如何称霸地球


《盗梦空间》(Inception)

Christopher Nolan (Producer, Writer, Director), & Emma Thomas (Producer). (2010). Inception [Film]. Warner Bros., Syncopy. USA.

克里斯托弗.诺兰(导演、编剧、制片)、 艾玛.托马斯 (制片). (2010). 盗梦空间 [电影]. 华纳兄弟娱乐公司. 美国


1.影评网站

1.1 豆瓣网
https://movie.douban.com/subject/3541415/
https://site.douban.com/106310/

 

盗梦空间 Inception (2010)

导演克里斯托弗·诺兰
编剧克里斯托弗·诺兰
主演莱昂纳多·迪卡普里奥 / 约瑟夫·高登-莱维特 / 艾利奥特·佩吉 / 汤姆·哈迪 / 渡边谦 / 更多...
类型: 剧情 / 科幻 / 悬疑 / 冒险
制片国家/地区: 美国 / 英国
语言: 英语 / 日语 / 法语
上映日期: 2010-09-01(中国大陆) / 2020-08-28(中国大陆重映) / 2010-07-16(美国)
片长: 148分钟
又名: 潜行凶间(港) / 全面启动(台) / 奠基 / 心灵犯案 / 记忆迷阵 / 记忆魔方
IMDb链接: tt1375666
官方小站: 盗梦空间-Inception
inception douban
 

1.2 imdb
https://www.imdb.com/title/tt1375666/

inception imb

1.3 allmovie

https://www.allmovie.com/movie/v480818

 

1.4 Rotten Tomatoes

https://www.rottentomatoes.com/m/inception

Dom Cobb (Leonardo DiCaprio) is a thief with the rare ability to enter people's dreams and steal their secrets from their subconscious. His skill has made him a hot commodity in the world of corporate espionage but has also cost him everything he loves. Cobb gets a chance at redemption when he is offered a seemingly impossible task: Plant an idea in someone's mind. If he succeeds, it will be the perfect crime, but a dangerous enemy anticipates Cobb's every move.

 

Rating:PG-13 (Sequences of Violence|Sequences of Action) 
Genre:Sci Fi, Mystery And Thriller, Action 
Original Language:English 

 Release Date (Theaters):  Wide 

Release Date (Streaming): 
Box Office (Gross USA):$292.6M 
Runtime: 
Production Co:Warner Bros., Syncopy 
Sound Mix:DTS, Dolby Digital, SDDS 
Aspect Ratio:Scope (2.35:1)

2.播放网址
2.1 腾讯视频
https://v.qq.com/x/cover/h0meep6p766jgqh.html

2.2 优酷视频
https://v.youku.com/v_show/id_XMjI4OTQ0MDky.html

2.3 哔哩哔哩
https://www.bilibili.com/bangumi/play/ss28586 

2.4 爱奇艺
https://www.iqiyi.com/v_19rra64i9c.html

 


 3.相关书籍