References

Armstrong, Whit, Dirk Eddelbuettel, and John Laing. 2022. Rblpapi: R Interface to Bloomberg. https://dirk.eddelbuettel.com/code/rblpapi.html.
Bache, Stefan Milton, and Hadley Wickham. 2022. Magrittr: A Forward-Pipe Operator for r. https://magrittr.tidyverse.org.
Chang, Winston, Joe Cheng, JJ Allaire, Carson Sievert, Barret Schloerke, Yihui Xie, Jeff Allen, Jonathan McPherson, Alan Dipert, and Barbara Borges. 2021. Shiny: Web Application Framework for r. https://CRAN.R-project.org/package=shiny.
Dancho, Matt, and Davis Vaughan. 2023. Tidyquant: Tidy Quantitative Financial Analysis. https://github.com/business-science/tidyquant.
Dragulescu, Adrian, and Cole Arendt. 2020. Xlsx: Read, Write, Format Excel 2007 and Excel 97/2000/XP/2003 Files. https://github.com/colearendt/xlsx.
Eddelbuettel, Dirk, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Inaki Ucar, Douglas Bates, and John Chambers. 2023. Rcpp: Seamless r and c++ Integration. https://www.rcpp.org.
Garmonsway, Duncan. 2023. Tidyxl: Read Untidy Excel Files. https://github.com/nacnudus/tidyxl.
Gomolka, Matthias. 2023. Simfinapi: Accessing SimFin Data. https://github.com/matthiasgomolka/simfinapi.
Harrison, John. 2022. RSelenium: R Bindings for Selenium WebDriver. https://docs.ropensci.org/RSelenium/.
Hester, Jim, Hadley Wickham, and Gábor Csárdi. 2023. Fs: Cross-Platform File System Operations Based on Libuv. https://fs.r-lib.org.
Johnston, Myfanwy, and David Robinson. 2023. Gutenbergr: Download and Process Public Domain Works from Project Gutenberg. https://docs.ropensci.org/gutenbergr/.
Klik, Mark. 2022. Fst: Lightning Fast Serialization of Data Frames. http://www.fstpackage.org.
Mirai Solutions GmbH. 2023. XLConnect: Excel Connector for r. https://mirai-solutions.ch https://github.com/miraisolutions/xlconnect.
Müller, Kirill, Hadley Wickham, David A. James, and Seth Falcon. 2023. RSQLite: SQLite Interface for r. https://rsqlite.r-dbi.org.
Ooms, Jeroen. 2023. Writexl: Export Data Frames to Excel Xlsx Format. https://docs.ropensci.org/writexl/.
Perlin, Marcelo. 2023. yfR: Downloads and Organizes Financial Data from Yahoo Finance. https://github.com/ropensci/yfR.
Perlin, Marcelo S. 2023a. afedR3: Data and Functions for Third Edition of Book "Analyzing Financial and Economical Data with r". https://github.com/msperlin/afedR3/.
———. 2023b. GetQuandlData: Fast and Cached Import of Data from Quandl Using the Json API. https://github.com/msperlin/GetQuandlData/.
R Core Team. 2023a. Foreign: Read Data Stored by Minitab, s, SAS, SPSS, Stata, Systat, Weka, dBase, ... https://svn.r-project.org/R-packages/trunk/foreign/.
———. 2023b. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Raymond McTaggart, Gergely Daroczi, and Clement Leung. 2021. Quandl: API Wrapper for Quandl.com. https://github.com/quandl/quandl-r.
Ryan, Jeffrey A., and Joshua M. Ulrich. 2023. Quantmod: Quantitative Financial Modelling Framework. http://www.quantmod.com.
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Temple Lang, Duncan. 2023. XML: Tools for Parsing and Generating XML Within r and s-Plus. https://www.omegahat.net/RSXML/.
Vaughan, Davis, and Matt Dancho. 2022. Furrr: Apply Mapping Functions in Parallel Using Futures. https://github.com/DavisVaughan/furrr.
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  1. Use software Calibre for reading ebooks in your desktop computer.↩︎

  2. In R, you can type path.expand('~') to see exactly where is your “Documents” folder located.↩︎

  3. https://github.com/msperlin/afedR3↩︎

  4. https://www.msperlin.com/post/2023-03-09-compiling-exercises-afedR3/↩︎

  5. https://www.msperlin.com/publication/2020_book-afedr-en/↩︎

  6. https://www.r-project.org/foundation/↩︎

  7. https://www.r-consortium.org/↩︎

  8. https://cran.r-project.org/web/views↩︎

  9. https://cran.r-project.org/web/views/Finance.html↩︎

  10. https://cran.r-project.org/web/views/Econometrics.html↩︎

  11. http://www.r-project.org/↩︎

  12. https://posit.co/↩︎

  13. https://code.visualstudio.com/↩︎

  14. https://www.msperlin.com↩︎

  15. https://www.r-bloggers.com/↩︎

  16. https://feeds.feedburner.com/RBloggers↩︎

  17. https://www.facebook.com/rbloggers/?fref=ts↩︎

  18. https://twitter.com/Rbloggers↩︎

  19. https://jumpingrivers.github.io/meetingsR/index.html↩︎

  20. https://google.github.io/styleguide/Rguide.xml↩︎

  21. https: //cloud.r- project.org/web/packages/available_packages_by_date.html↩︎

  22. https://www.google.com/sheets/about/↩︎

  23. https://www.r-bloggers.com/↩︎

  24. https://github.com/msperlin/afedR3/blob/main/inst/extdata/others/S_Example_Script.R↩︎

  25. https://www.iso.org/iso-8601-date-and-time-format.html↩︎

  26. https://support.posit.co/hc/en-us/articles/200526207-Using-Projects↩︎

  27. https://r-pkgs.org/↩︎

  28. https://cran.r-project.org/web/packages/policies.html↩︎

  29. https://cran.r-project.org/web/packages/available_packages_by_date.html↩︎

  30. https://cran.r-project.org/web/views/↩︎

  31. https://github.com/↩︎

  32. http://stackoverflow.com/↩︎

  33. https://www.dropbox.com/↩︎

  34. https://drive.google.com/↩︎

  35. https://www.msperlin.com/files/afedr-files/afedR-code-and-data.zip↩︎

  36. https://notepad-plus-plus.org/↩︎

  37. https://kate-editor.org/↩︎

  38. http://www.fstpackage.org/↩︎

  39. http://www.gutenberg.org/↩︎

  40. https://simfin.com/↩︎

  41. https://data.nasdaq.com/↩︎

  42. https://www.msperlin.com/post/2019-10-01-new-package-getquandldata/↩︎

  43. https://data.nasdaq.com/↩︎

  44. https://docs.data.nasdaq.com/docs/parameters-2↩︎

  45. https://simfin.com/↩︎

  46. https://simfin.com/↩︎

  47. https://simfin.com/simfin-plus↩︎

  48. https://simfin.com/data/access/api↩︎

  49. https://business-science.github.io/tidyquant/↩︎

  50. https://cran.r-project.org/↩︎

  51. https://en.wikipedia.org/wiki/List_of_S%26P_500_companies↩︎

  52. https://www.quandl.com/↩︎