{"id":175,"date":"2017-04-26T00:11:11","date_gmt":"2017-04-26T00:11:11","guid":{"rendered":"http:\/\/blog.ufes.br\/fabiomolinares\/?p=175"},"modified":"2017-04-26T00:11:11","modified_gmt":"2017-04-26T00:11:11","slug":"free-100-online-tutorials-for-r-programming-statistics-and-graphics","status":"publish","type":"post","link":"https:\/\/blog.ufes.br\/fabiomolinares\/2017\/04\/26\/free-100-online-tutorials-for-r-programming-statistics-and-graphics\/","title":{"rendered":"Free 100 Online tutorials for R programming, Statistics and Graphics"},"content":{"rendered":"

Here is a list of FREE R tutorials hosted in official website of universities around the world. The tutorials are listed \u00a0in no particular order, actually based on when I have discovered it. They will be categorised soon. Please kindly suggest me other university-hosted online R tutorials by email to me@pairach.com.<\/p>\n

A list of R tutorials, which are not hosted in the webpages of academic institutes can be found here<\/a>.<\/h2>\n
    \n
  1. University of Oxford
    \n<\/strong>\u00a0Modern Applied Statistics with S, 4edn (On-line material)[    url<\/a>]
    \nby \u00a0W. N. Venables and B. D. Ripley<\/li>\n
  2. University of California at Davis<\/strong>
    \nGetting Started with the R Data Analysis Package [    url<\/a>]
    \nby\u00a0    Norm Matloff<\/a><\/li>\n
  3. Clarkson University<\/strong>
    \nR Tutorial [    url<\/a>]
    \n<\/strong>by\u00a0    Kelly Black<\/a><\/li>\n
  4. York University<\/strong>
    \nGetting started with R [    url<\/a>]<\/li>\n
  5. University of Waterloo<\/strong>
    \nR Tutorial For \u00a0    Windows<\/a>\u00a0and\u00a0\u00a0Unix<\/a>\u00a0Environment [url<\/a>]<\/li>\n
  6. University of California at Los Angles, UCLA<\/strong>
    \nResources to help you learn and use R [    url<\/a>]<\/li>\n
  7. University of California at Riverside<\/strong>
    \nProgramming in R [    url<\/a>]<\/li>\n
  8. University of Illinois<\/strong>
    \nA Brief Introduction to R [    url<\/a>]<\/li>\n
  9. University of\u00a0Texas\u00a0at Austin<\/strong>
    \nR Tutorial Videos [    url<\/a>]
    \n<\/strong>by\u00a0Brandon K. Vaughn<\/li>\n
  10. University of California at Berkeley<\/strong>
    \nAn Introduction to R (    pdf<\/a>)
    \nby\u00a0Phil Spector<\/li>\n
  11. Chiang Mai University
    \nEconometrics with R\u00a0(in Thai) [    url<\/a>]
    \nby\u00a0    Pairach Piboonrungroj<\/a><\/strong><\/li>\n
  12. University of California at Santa Babara<\/strong>
    \nR Programming Resource Centre [    url<\/a>]
    \nby\u00a0National Center for Ecological Analysis and Synthesis<\/li>\n
  13. University of Carnegie Mellon<\/strong>
    \nA Tutorial: Some Fundamentals of R [    url<\/a>]
    \nby Bruce E. Trumbo<\/li>\n
  14. University of Illinois State<\/strong>
    \nR Tutorial [    url<\/a>]
    \nby Dong-Yun Kim<\/li>\n
  15. University of MacMaster<\/strong>
    \nIntroduction to the R Statistical Computing Environment [    url<\/a>]
    \nby John Fox.<\/li>\n
  16. University of Princeton<\/strong>
    \nIntroducing R [    url<\/a>]
    \nby Germ\u00e1n Rodr\u00edguez<\/li>\n
  17. University of Amsterdam<\/strong>
    \nHow to draw graphs with R\u00a0(Graphics) [    url<\/a>]
    \nby Angelos-Miltiadis Krypotos<\/li>\n
  18. University of North Texas<\/strong>
    \nDo it yourself \u2013 Introduction to R\u00a0(Intro) [    url<\/a>]<\/li>\n
  19. University of Warwick<\/strong>
    \nR programming page [    url<\/a>]
    \n(Biosciences: Molecular Organisation and Assembly in Cells)
    \nby     Peter Cock<\/a>.<\/li>\n
  20. University of Illinois at Urbana-Champaign<\/strong>
    \nR tutorial for Applied Econometrics [    url<\/a>]
    \n<\/a>by\u00a0    Prof. Roger Koenker<\/a>
    \n<\/a><\/li>\n
  21. Coastal Carolina University<\/strong>
    \nR tutorials\u00a0(General) [    url<\/a>]
    \nby \u00a0    William B. King<\/a><\/li>\n
  22. University of Colorado Denver<\/strong>
    \nR Tutorial\u00a0(General)[    url<\/a>]
    \nby \u00a0Stephanie Santorico and\u00a0Mark Shin<\/li>\n
  23. Stanford School of Medicine (Biomedical Informatics)<\/a><\/strong>
    \nR Tutorial (VDO on Introduction +\u00a0Translational Bioinformatics (    url<\/a>)<\/li>\n
  24. Harding University<\/strong>
    \nProducing Simple Graphs with R\u00a0(basic graphic e.g., line, bar, hist, line) (    url<\/a>)
    \nby\u00a0    Frank McCown<\/a><\/li>\n
  25. University of Kentucky,\u00a0Department of Statistics<\/a><\/strong>
    \nUse Software R to do Survival Analysis and\u00a0Simulation [    pdf<\/a>]
    \nby     Mai Zhou<\/a><\/li>\n
  26. University of\u00a0Pittsburgh, Department of Statistics<\/a><\/strong>
    \nTime Series Analysis and Its Applications: With R Examples[    url<\/a>]
    \nby\u00a0    R.H. Shumway<\/a>\u00a0&\u00a0D.S. Stoffer<\/a><\/li>\n
  27. University of Toronto<\/strong>
    \nR Tutorial\u00a0(for Ecology) [    url<\/a>]
    \nby\u00a0the Cadotte Lab<\/li>\n
  28. Florida State University<\/strong>
    \nUse R for Climate research [    url<\/a>]
    \nby\u00a0James B. Elsner & Thomas H. Jagger<\/li>\n
  29. University of Washington<\/strong>
    \nIntroduction to R [    url<\/a>]
    \nby \u00a0Jinyoung Kim<\/li>\n
  30. Lancaster University<\/strong> (UK)
    \nR tutorial [    url<\/a>]
    \nby \u00a0    Joe Whittaker<\/a><\/li>\n
  31. University of Georgia\u00a0Athens
    \n<\/strong>A short R tutorial [    pdf<\/a>]
    \nby\u00a0Steven M. Holland<\/li>\n
  32. University of Twente<\/strong>
    \nR\u00a0tutorials [    url<\/a>]
    \n(more than 1o tutorials about R in pdf + data & code)
    \nby\u00a0D G Rossiter<\/li>\n
  33. Vrijie University Amsterdam, Netherlands<\/strong>
    \nHandleiding\u00a0R (in Dutch) [    pdf<\/a>]
    \nby\u00a0A.W. van der Vaart<\/li>\n
  34. University of Wisconsin-Madison<\/strong>
    \nIntroduction to R [    url<\/a>]
    \nby\u00a0Karl W Broman<\/li>\n
  35. City University of New York<\/strong>
    \nsimpleR Using R for Introductory Statistics [    url<\/a>]
    \nby\u00a0\u00a0    John Verzani<\/a><\/li>\n
  36. Pomona College<\/strong>
    \nAn R tutorial [    pdf<\/a>]
    \nby\u00a0Jo Hardin<\/li>\n
  37. University of Alaska Fairbanks\u00a0<\/strong>
    \nUsing R [    url<\/a>]
    \nby\u00a0the Biology & Wildlife Department computer<\/li>\n
  38. University of Bath<\/strong>
    \nPractical Regression and Anova using R [    pdf<\/a>]
    \nJulian J. Faraway<\/li>\n
  39. University of Goettingen<\/strong>
    \nTime Series Analysis with R \u2013\u00a0Part I [    pdf<\/a>]
    \nby\u00a0Walter Zucchini and Oleg Nenad\u00edc
    \nStatistical Analysis with R\u00a0\u2013 a quick start \u2013 [    pdf<\/a>]
    \nby\u00a0\u00a0Oleg Nenad\u00edc and\u00a0Walter Zucchini<\/li>\n
  40. University of Washington, Department of Economics
    \n<\/strong>Working with Time Series Data in R [    pdf<\/a>]
    \nby Eric Zivot<\/li>\n
  41. University of Li\u00e8ge, Faculty of Engineering<\/strong>
    \nUsing R for Linear regression [    pdf<\/a>, 9 pages]
    \nby\u00a0Kristel Van Steen<\/li>\n
  42. University of Cambridge<\/strong>
    \nLocal tips for R [    url<\/a>] \u00a0\u2013 in both statistics & graphics
    \nby Rudolf Cardinal<\/li>\n
  43. Montana State University<\/a>, Department of Mathematical Sciences<\/strong>
    \nIntroduction to Sweave (R+LaTeX) [    url<\/a>]
    \nby\u00a0Jim Robison-Cox<\/li>\n
  44. Stanford University<\/strong>
    \nSocial Network Analysis in R [    url<\/a>] including source R files and outputs
    \nby \u00a0McFarland, Daniel A., Solomon Messing, Michael Nowak and Sean J. Westwood.<\/li>\n
  45. Ludwig-Maximilians-University Munich\u00a0<\/strong>(Germany)
    \nSweave (R + LaTeX) [    url<\/a>] including manuals and example files
    \nby Friedrich Leisch<\/li>\n
  46. Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne<\/strong>
    \nSweave = R\u00a0\u2022 LaTeX^2 (    pdf<\/a>, slides)
    \nby Nicola Sartori<\/li>\n
  47. University of Auckland<\/strong>
    \nFour course on Statistical Computing and Graphics including document, R codes (    pdf<\/a>)
    \nby Ross Ihaka<\/li>\n
  48. Nova Southeastern University<\/strong>
    \nMany R tutorials using\u00a0Tegrity-based video tutorials\u00a0(    url<\/a>)
    \nby \u00a0Thomas W. MacFarland<\/li>\n
  49. Penn State University<\/strong>
    \n\u2013 Introduction to R (get started) [    url<\/a>]
    \n\u2013 Welcome to STAT 497C \u2013 Topics in R Statistical Language! [    url<\/a>]<\/li>\n
  50. Carnegie Mellon University<\/strong>
    \nOpen & Free Course on Statistics (with applications in R among other software) [    url<\/a>]<\/li>\n
  51. Centre for Mathematical Sciences, Lund University<\/strong>
    \nException handling in R [    url<\/a>]
    \nObject-oriented programming with references using S3\/UseMethod [    url<\/a>]
    \nby Henrik Bengtsson<\/li>\n
  52. University of Edinburgh<\/strong>
    \nData Mining and\u00a0Exploration (with examples with R) [    url<\/a>]
    \nby \u00a0    Charles Sutton<\/a><\/li>\n
  53. University of\u00a0Washington<\/strong>
    \nSurvey analysis in R [    url<\/a>]
    \nby\u00a0Thomas Lumley<\/li>\n
  54. Department of Psychology, University of Pennsylvania<\/strong>
    \nNotes on the use of R for psychology experiments and questionnaires [    url<\/a>]
    \nby\u00a0Jonathan Baron and\u00a0Yuelin Li<\/li>\n
  55. College of Staten Island,\u00a0Department of Mathematics
    \n<\/strong>simpleR: Using R for Introductory Statistics [    url<\/a>]
    \nBy John Verzani<\/li>\n
  56. Vanderbilt University<\/strong>
    \nrApache Manual [    url<\/a>]<\/li>\n
  57. University of Aarhus,\u00a0Department of Computer Science \u2013 Daimi,\u00a0Faculty of Science<\/strong>
    \nRPy \u2014 R from Python [    url<\/a>]<\/li>\n
  58. University of Auckland<\/strong>
    \nMany documents and links about R [    url<\/a>]
    \nBy Paul \u00a0Murrell<\/li>\n
  59. National Institute of Genetics (Japan)<\/strong>
    \nR Graphical Manual [    url<\/a>]
    \nBy     Osamu Ogasawara and IMS Lab Inc. Japan<\/a><\/li>\n
  60. Montana State University<\/strong>
    \nR Labs for Vegetation Ecologists [    url<\/a>]<\/li>\n
  61. University of Auckland<\/strong>
    \nIntroduction to Data Technologies: Basic introduction to a number of computer technologies for working with data (HTML, XML, Databases, SQL, regular expressions, and R) [    url<\/a>]
    \nby\u00a0Paul \u00a0Murrell<\/li>\n
  62. Department of Statistics and Actuarial Science, SFU<\/strong>
    \nTechnical Notes on the R programming language [    url<\/a>]
    \nby\u00a0Sigal Blay<\/li>\n
  63. University of Vienna<\/strong>
    \nStattconn Project [    url<\/a>]
    \nby\u00a0Thomas Baier and Erich Neuwirth<\/li>\n
  64. Gunma University (Japan)<\/strong>
    \nR \u306b\u3088\u308b\u7d71\u8a08\u51e6\u7406 \u00a0[    url<\/a>]
    \nby     Shigenobu AOKI<\/a><\/li>\n
  65. Tsukuba Office, Agriculture, Forestry and Fisheries Research Council\u00a0<\/strong>Secretariat<\/strong>
    \nR Tips (in Japancese) [    url<\/a>]<\/li>\n
  66. University of Western Ontario,\u00a0Department of Statistical & Actuarial Sciences<\/strong>
    \nDebugging in R [    url<\/a>]
    \nby\u00a0Duncan Murdoch<\/li>\n
  67. University of Sunderland<\/strong>
    \nProgramming in R [    url<\/a>]
    \nby\u00a0Harry Erwin<\/li>\n
  68. Smith College,\u00a0Department of Mathematics and Statistics<\/strong>
    \nUse of R as a toolbox for mathematical statistics exploration [    url<\/a>]
    \nby\u00a0    Nicholas J. Horton<\/a>,\u00a0Elizabeth R.Brown<\/a>\u00a0and\u00a0Linjuan Qian<\/a><\/li>\n
  69. Katholieke Universiteit Leuven\u00a0<\/strong>
    \nR and Statistics [    url<\/a>]
    \nby\u00a0Guido Wyseure<\/li>\n
  70. Iowa State University<\/strong>
    \nIntroduction to R [    url<\/a>]
    \nby Di Cook<\/li>\n
  71. Cambridge University<\/strong>
    \nGraph redesign in R [    url<\/a>]
    \nby Stephen J. Murdoch<\/li>\n
  72. Trinity College Dublin<\/strong>
    \nR Podcasts [    url<\/a>]
    \nby Andrew Jackson<\/li>\n
  73. University of\u00a0Arizona<\/strong>
    \nIntroduction to R [    url<\/a>]
    \nby\u00a0Caroline R.H. Wiley<\/li>\n
  74. Cambridge University<\/strong>
    \nESS: Emacs Speak Statistics [    url<\/a>]
    \nby Stephen Eglen<\/li>\n
  75. Columbia University<\/strong>
    \nRunning WinBugs and OpenBugs from R [    url<\/a>]
    \nAndrew Gelman<\/li>\n
  76. University of Bremen<\/strong>
    \nvim R plugin for Linux\/Unix [    url<\/a>]
    \nJohannes Ranke<\/li>\n
  77. Montana State University<\/strong>
    \nR Web: Statistical Analysis on the web. [    url<\/a>]
    \nby\u00a0    Jeff Banfield<\/a><\/li>\n
  78. University of Florida<\/strong>
    \nR for Categorical data analysis [    html<\/a>]
    \nby \u00a0Brett D. Presnell<\/li>\n
  79. University of Auckland\u00a0<\/strong>
    \nAn S (and R) Programming Workshop in 2003 (including slides, data and codes) [    html<\/a>]
    \nby The Quartet (affiliations at that moment)
    \n(1) Bill Venables (CSIRO, Australia)
    \n(2) Robert Gentleman (Harvard University)
    \n(3) Ross Ihaka (University of Auckland)
    \n(4) Paul Murrell (University of Auckland)<\/li>\n
  80. Australian National University , Mathematical Science Institute<\/strong>
    \nData Analysis and Graphics Using R \u2013 An Example-Based Approach [    url<\/a>]
    \nby     John Maindonald<\/a>\u00a0and\u00a0John Braun<\/a><\/li>\n
  81. The Hebrew University<\/strong>
    \nIntroduction to Statistical Thinking\u00a0(With R, Without Calculus) [    pdf<\/a>]
    \nby\u00a0Benjamin Yakir<\/li>\n
  82. Basel Institute for Clinical Epidemiology and Biostatistics
    \n<\/strong>Tutorial: ggplot2 [    pdf<\/a>, 14 p.]
    \nby\u00a0Ramon Saccilotto,\u00a0Universit\u00e4tsspital Basel<\/li>\n
  83. UC, Davis: Bioinformatics<\/strong>
    \n    Data Analysis and Visualization Course, 2012<\/a>\u00a0(links to many sessions during two days of the course)
    \nby \u00a0Vince Buffalo,\u00a0Joe Fass, Jie Peng and\u00a0Dawei Lin<\/li>\n
  84. University of Warwick<\/strong>
    \n    R useR! Conference 2011<\/a>\u00a0(links to materials and documents of the tutorials, invited talks and presentations)
    \nby \u00a0Department of Statistics, University of Warwick<\/li>\n
  85. Vanderbilt University\u00a0<\/strong>
    \n    R useR! Conference 2012<\/a> (links to materials and documents of short courses, tutorials, invited talks and presentations)
    \nby Department of Statistics, Vanderbilt University<\/li>\n
  86. Technische Universit\u00e4t Wien, Vienna, Austria\u00a0<\/strong>
    \n    useR! 2004<\/a>: The 5th International R useRs Conference\u00a0(links to materials of the conference)
    \n    DSC 1999<\/a>: The 1st\u00a0conference for the developers of statistical software and researchers in statistical computing
    \n    DSC 2001<\/a>:\u00a0The 2nd conference for the developers of statistical software and researchers in statistical computing
    \n    DSC 2003<\/a>:\u00a0The 3rd conference for the developers of statistical software and researchers in statistical computing
    \nby\u00a0 Department of Statistics and Probability Theory,Technische Universit\u00e4t Wien<\/li>\n
  87. The University of Auckland<\/strong>
    \n    DSC 2007<\/a>:\u00a0The 5th conference for the developers of statistical software and researchers in statistical computing
    \n(Workshops, Program, papers and posters)
    \nby Department of Statistics,\u00a0The University of Auckland<\/li>\n
  88. University of Oxford<\/strong>
    \n    APTS Computer-Intensive Statistics 2012<\/a> (html) \u2013 Lecture note, datasets and codes
    \nby Prof. Brain Ripley<\/li>\n
  89. Simon Fraser University<\/strong>
    \n    Technical Notes on the R programming language<\/a>
    \nby Sigal Blay<\/li>\n
  90. University of Florida<\/strong>
    \n    Introducing Monte Carlo Methods with R<\/a>\u00a0(pdf)
    \nby Christian P. Robert George Casella<\/li>\n
  91. University of Tennessee<\/strong>
    \n    pbdR \u2014 Programming with Big Data in R<\/a> (html)
    \nRemote Data Analysis and Visulization Center<\/li>\n
  92. National Center for Ecological Analysis and Synthesis <\/strong>
    \nThe Regents of the University of California<\/strong>
    \n\u2013     Integrate C Language Functions into R With an R Package<\/a>
    \n    \u2013 R: A self-learn tutorial<\/a><\/li>\n
  93. Ghent\u00a0University<\/strong>
    \nTeaching materials (slides, codes and datasets) for using lavaan package for Structural Equation Modeling (    link<\/a>)
    \nby Yves Rosseel<\/li>\n
  94. Calvin College<\/strong>
    \nComputational Statistics Using R and R Studio \u2013 An Introduction for Scientists (    pdf<\/a>)
    \nby\u00a0Randall Pruim<\/li>\n
  95. Department of Mathematical Sciences<\/strong>
    \nAalborg University, Denmark<\/strong>
    \nGraphical Models with R (    pdf<\/a>)
    \nSoren Hojsgaard<\/li>\n
  96. Statistics Department <\/strong>
    \nCarnegie Mellon University<\/strong>
    \nWriting R Functions (    pdf<\/a>)
    \nby\u00a0Cosma Shalizi<\/li>\n
  97. Institute for Environmental Sciences<\/strong>
    \nUniversity Koblenz-Landau<\/strong>
    \nLecture \u201cApplied Multivariate Statistics\u201d 2011\/2012 (    url<\/a>)
    \nby Ralf Sch\u00e4fer<\/li>\n
  98. University of Groningen, The Netherlands<\/strong>
    \nR Tutorial for Applied Statistics (    URL<\/a>)
    \nby Anne Boomsma<\/li>\n
  99. University of Florida<\/strong>
    \nTutorial on Making Simple R Packages (    URL<\/a>)<\/li>\n
  100. University of G\u00f6ttingen \u2013 Georg-August-Universit\u00e4t G\u00f6ttingen<\/strong>
    \nTime Series Analysis with R \u2013 Part I (    PDF<\/a>)
    \nby\u00a0Walter Zucchini, Oleg Nenadi\u00b4c<\/li>\n
  101. Harvard University<\/strong>
    \nQuick Introduction to Graphics in R Introduction to the R language     (pdf<\/a>)
    \nby\u00a0Aedin Culhane<\/li>\n
  102. University of Pennsylvania<\/strong>
    \nR Study Group (General guide to R) (    URL<\/a>)
    \nJosef Fruehwald<\/li>\n<\/ol>\n
    <\/div>\n","protected":false},"excerpt":{"rendered":"

    Here is a list of FREE R tutorials hosted in official website of universities around the world. The tutorials are listed \u00a0in no particular order, actually based on when I have discovered it. They will be categorised soon. Please kindly suggest me other university-hosted online R tutorials by email to me@pairach.com. A list of R […]<\/p>\n","protected":false},"author":38,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"_uag_custom_page_level_css":"","footnotes":""},"categories":[5],"tags":[],"class_list":["post-175","post","type-post","status-publish","format-standard","hentry","category-r"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"Fabio Fajardo","author_link":"https:\/\/blog.ufes.br\/fabiomolinares\/author\/fabio-molinares\/"},"uagb_comment_info":629,"uagb_excerpt":"Here is a list of FREE R tutorials hosted in official website of universities around the world. The tutorials are listed \u00a0in no particular order, actually based on when I have discovered it. They will be categorised soon. Please kindly suggest me other university-hosted online R tutorials by email to me@pairach.com. A list of R…","_links":{"self":[{"href":"https:\/\/blog.ufes.br\/fabiomolinares\/wp-json\/wp\/v2\/posts\/175","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.ufes.br\/fabiomolinares\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.ufes.br\/fabiomolinares\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.ufes.br\/fabiomolinares\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.ufes.br\/fabiomolinares\/wp-json\/wp\/v2\/comments?post=175"}],"version-history":[{"count":1,"href":"https:\/\/blog.ufes.br\/fabiomolinares\/wp-json\/wp\/v2\/posts\/175\/revisions"}],"predecessor-version":[{"id":176,"href":"https:\/\/blog.ufes.br\/fabiomolinares\/wp-json\/wp\/v2\/posts\/175\/revisions\/176"}],"wp:attachment":[{"href":"https:\/\/blog.ufes.br\/fabiomolinares\/wp-json\/wp\/v2\/media?parent=175"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.ufes.br\/fabiomolinares\/wp-json\/wp\/v2\/categories?post=175"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.ufes.br\/fabiomolinares\/wp-json\/wp\/v2\/tags?post=175"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}