{"id":16705617,"url":"https://github.com/storopoli/estatistica","last_synced_at":"2025-07-08T21:32:43.648Z","repository":{"id":44633763,"uuid":"323724640","full_name":"storopoli/Estatistica","owner":"storopoli","description":"Tutorial de R da Disciplina de Estatística da UNINOVE","archived":true,"fork":false,"pushed_at":"2022-05-13T09:34:03.000Z","size":59884,"stargazers_count":4,"open_issues_count":0,"forks_count":4,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-03T12:12:07.793Z","etag":null,"topics":["r","r-stats","statistics","tutorial"],"latest_commit_sha":null,"homepage":"https://storopoli.github.io/Estatistica","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-sa-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/storopoli.png","metadata":{"files":{"readme":"README.Rmd","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null}},"created_at":"2020-12-22T20:18:47.000Z","updated_at":"2025-02-15T02:52:40.000Z","dependencies_parsed_at":"2022-09-25T00:27:26.581Z","dependency_job_id":null,"html_url":"https://github.com/storopoli/Estatistica","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/storopoli/Estatistica","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/storopoli%2FEstatistica","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/storopoli%2FEstatistica/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/storopoli%2FEstatistica/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/storopoli%2FEstatistica/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/storopoli","download_url":"https://codeload.github.com/storopoli/Estatistica/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/storopoli%2FEstatistica/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":264352877,"owners_count":23594987,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["r","r-stats","statistics","tutorial"],"created_at":"2024-10-12T19:31:16.159Z","updated_at":"2025-07-08T21:32:38.638Z","avatar_url":"https://github.com/storopoli.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"---\ntitle: \"Estatística com R\"\ndescription: \"Estatística com R\"\noutput: github_document\neditor_options:\n  markdown:\n    mode: gfm\nbibliography: bib/bibliografia.bib\ncsl: bib/apa-cv.csl\nsuppress-bibliography: true\n---\n\n```{r setup, include=FALSE}\nknitr::opts_chunk$set(echo = FALSE)\n# rmarkdown::render(\"README.Rmd\", encoding = \"UTF-8\", output_format = \"github_document\")\n```\n\n[![CC BY-SA 4.0][cc-by-sa-shield]][cc-by-sa]\n\nDisciplina de Estatística da [UNINOVE](https://www.uninove.br)\n\nDisciplina do Mestrado e Doutorado da **UNINOVE**. O conteúdo todo consegue ser acessado num formato interativo [aqui](https://storopoli.github.io/Estatistica).\n\n## Professor\n\n* [Prof. Dr. José Eduardo Storopoli](https://storopoli.github.io) - [Currículo *Lattes*](http://lattes.cnpq.br/2281909649311607) - [ORCID](https://orcid.org/0000-0002-0559-5176) - [josees@uni9.pro.br](mailto:josees@uni9.pro.br)\n* [Prof. Dr. Leonardo Vils - Currículo *Lattes*](http://lattes.cnpq.br/3969955798466284 ) - [ORCID](https://orcid.org/0000-0003-3059-1967) - [leonardo.vils@uni9.pro.br](mailto:leonardo.vils@uni9.pro.br)\n\n## Como usar esse conteúdo?\n\nEste conteúdo possui *licença livre para uso*. Caso queira utilizar o conteúdo para um curso ou estudos, por favor colabore nesse repositório quaisquer aprimorações que foram realizadas.\n\n### Para configurar um ambiente local:\n\n1. Clone o repositório do GitHub: `git clone https://github.com/storopoli/Estatistica.git`\n2. Acesse o diretório: `cd Estatistica`\n3. Instale os pacotes necessários: `Rscript .binder/install.R`\n\n### Para usar na **RStudio** na nuvem gratuito\n\nClique aqui: [![Binder](http://mybinder.org/badge_logo.svg)](http://mybinder.org/v2/gh/storopoli/Estatistica/master?urlpath=rstudio)\n\n## Por que R?\n\nR é uma linguagem criada por estatísticos para estatísticos. Possui um vasto ecossistema de bibliotecas e é amplamente usado na ciência e em especial nas ciências aplicadas. Fizemos toda uma argumentação de porque você deve usar R [aqui](https://storopoli.github.io/Estatistica/0-Por_que_R.html)\n\n## Aulas\n\nAcesse o site dos tutoriais em [storopoli.github.io/Estatistica](https://storopoli.github.io/Estatistica).\n\n### Conteúdos Principais\n\n1. [Comandos Básicos de R](https://storopoli.github.io/Estatistica/1-Comandos_Basicos.html)\n2. [$p$-Valores, Hipóteses Nula e Pressupostos](https://storopoli.github.io/Estatistica/2-p-valores.html)\n3. [Teste de Hipóteses e Teste $t$](https://storopoli.github.io/Estatistica/3-Teste_t.html)\n4. [Análise de Variância (ANOVA)](https://storopoli.github.io/Estatistica/4-ANOVA.html)\n5. [Correlações](https://storopoli.github.io/Estatistica/5-Correlacoes.html)\n6. [Regressão Linear](https://storopoli.github.io/Estatistica/6-Regressao_Linear.html)\n7. [Regressão Logística](https://storopoli.github.io/Estatistica/7-Regressao_Logistica.html)\n### Conteúdos Auxiliares\n\n* [Quarteto de Anscombe](https://storopoli.github.io/Estatistica/aux-Anscombe.html)\n* [Dados Faltantes](https://storopoli.github.io/Estatistica/aux-Dados_Faltantes.html)\n* [Tamanho de Amostra e Tamanho de Efeito](https://storopoli.github.io/Estatistica/aux-Tamanho_Amostra.html)\n* [Likert e Escalas Ordinais](https://storopoli.github.io/Estatistica/aux-Likert.html)\n* [Tabelas para Publicação](https://storopoli.github.io/Estatistica/aux-Tabelas_para_Publicacao.html)\n\n## Referências\n\n### Livros\n\n* Dancey, Christine P.; Reidy, John; Viali, Lori (2013): Estatística sem matemática para psicologia. 5. ed. Porto Alegre, RS: Penso.\n* Hair, Joseph F.; Sant'Anna, Adonai Schlup; Gouvêa, Maria Aparecida (2009): Análise multivariada de dados. 6. ed. Porto Alegre: Bookman.\n* Levin, Jack; Fox, James Alan; Forde, David R.; Ritter, Jorge; Bonafini, Fernanda (2014, 2012): Estatística para ciências humanas. 11. ed. São Paulo: Pearson Education do Brasil.\n* Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). L. Erlbaum Associates.\n\n\n### Artigos\n\n#### Básicos\n\n* Ioannidis, J. P. A. (2005). Why most published research findings are false. PLoS Medicine, 2(8), e124.\n* Ioannidis, J. P. A. (2019). What Have We (Not) Learnt from Millions of Scientific Papers with P Values? The American Statistician, 73(sup1), 20–25. https://doi.org/10.1080/00031305.2018.1447512\n* Cassidy, S. A., Dimova, R., Giguère, B., Spence, J. R., \u0026 Stanley, D. J. (2019). Failing Grade: 89% of Introduction-to-Psychology Textbooks That Define or Explain Statistical Significance Do So Incorrectly. Advances in Methods and Practices in Psychological Science, 2(3), 233–239. https://doi.org/10.1177/2515245919858072\n* Smaldino, P. (n.d.). How to translate a verbal theory into a formal model. https://doi.org/10.31222/OSF.IO/N7QSH\n* Cumming, G. (2014). The New Statistics: Why and How. Psychological Science, 25(1), 7–29. https://doi.org/10.1177/0956797613504966\n* Bedeian, A. G. (2014). “More than meets the eye”: A guide to interpreting the descriptive statistics and correlation matrices reported in management research. Academy of Management Learning and Education, 13(1), 121–135. https://doi.org/10.5465/amle.2013.0001\n* Murphy, K. R., \u0026 Aguinis, H. (2019). HARKing: How Badly Can Cherry-Picking and Question Trolling Produce Bias in Published Results? Journal of Business and Psychology, 34(1). https://doi.org/10.1007/s10869-017-9524-7\n* Wasserstein, R. L., \u0026 Lazar, N. A. (2016). The ASA’s Statement on p-Values: Context, Process, and Purpose. American Statistician, 70(2), 129–133. https://doi.org/10.1080/00031305.2016.1154108\n* Greenland, S., Senn, S. J., Rothman, K. J., Carlin, J. B., Poole, C., Goodman, S. N., \u0026 Altman, D. G. (2016). Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations. European Journal of Epidemiology, 31(4), 337–350. https://doi.org/10.1007/s10654-016-0149-3\n* Smaldino, P. E. (2017). Models Are Stupid, and We Need More of Them. In Computational Social Psychology (Issue March, pp. 311–331). Routledge. https://doi.org/10.4324/9781315173726-14\n* Stark, P. B., \u0026 Saltelli, A. (2018). Cargo-cult statistics and scientific crisis. Significance, 15(4), 40–43. https://doi.org/10.1111/j.1740-9713.2018.01174.x\n* Kerr, N. L. (1998). HARKing: Hypothesizing after the results are known. Personality and Social Psychology Review, 2(3), 196–217. https://doi.org/10.1207/s15327957pspr0203_4\n* Whetten, D. A. (2009). Modeling theoretical propositions. In Designing research for publication (pp. 217–250).\n\n#### Complementares\n\n* Etz, A. (2019). Technical Notes on Kullback-Leibler Divergence. https://doi.org/10.31234/OSF.IO/5VHZU\n* Pearl, J. (2014). Comment: Understanding Simpson’s Paradox. The American Statistician, 68(1), 8–13. https://doi.org/10.1080/00031305.2014.876829\n* Gelman, A., \u0026 Vehtari, A. (2020). What are the most important statistical ideas of the past 50 years? https://arxiv.org/abs/2012.00174\n* Aguinis, H., Edwards, J. R., \u0026 Bradley, K. J. (2017). Improving Our Understanding of Moderation and Mediation in Strategic Management Research. Organizational Research Methods, 20(4), 665–685. https://doi.org/10.1177/1094428115627498\n* Aguinis, H., Gottfredson, R. K., \u0026 Joo, H. (2013). Best-Practice Recommendations for Defining, Identifying, and Handling Outliers. In Organizational Research Methods (Vol. 16, Issue 2, pp. 270–301). https://doi.org/10.1177/1094428112470848\n* Wilson, G., Bryan, J., Cranston, K., Kitzes, J., Nederbragt, L., \u0026 Teal, T. K. (2017). Good enough practices in scientific computing. PLOS Computational Biology, 13(6), e1005510. https://doi.org/10.1371/journal.pcbi.1005510\n* Tierney, N. J., \u0026 Ram, K. (2020). A Realistic Guide to Making Data Available Alongside Code to Improve Reproducibility. https://arxiv.org/abs/2002.11626\n\n## Como citar esse conteúdo\n\nPara citar o conteúdo use:\n\n```\nStoropoli \u0026 Vils (2021). Estatística com R. Retrieved from https://storopoli.github.io/Estatistica\n```\n\nOu em formato BibTeX para LaTeX:\n\n```\n@misc{storopoli2021estatisticaR,\n  author = {Storopoli, Jose and Vils, Leonardo},\n  title = {Estatística com R},\n  url = {https://storopoli.github.io/Estatistica},\n  year = {2021}\n}\n```\n## Licença\n\nEste obra está licenciado com uma Licença\n[Creative Commons Atribuição-CompartilhaIgual 4.0 Internacional][cc-by-sa].\n\n[![CC BY-SA 4.0][cc-by-sa-image]][cc-by-sa]\n\n[cc-by-sa]: http://creativecommons.org/licenses/by-sa/4.0/\n[cc-by-sa-image]: https://licensebuttons.net/l/by-sa/4.0/88x31.png\n[cc-by-sa-shield]: https://img.shields.io/badge/License-CC%20BY--SA%204.0-lightgrey.svg\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstoropoli%2Festatistica","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstoropoli%2Festatistica","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstoropoli%2Festatistica/lists"}