PMean » Teaching resources http://blog.pmean.com A blog about statistics, evidence-based medicine, and research ethics Sat, 22 Jun 2024 17:10:26 +0000 en-US hourly 1 https://wordpress.org/?v=3.7.41 Recommended: Assessment Resource Tools for Improving Statistical Thinking http://blog.pmean.com/artist/ http://blog.pmean.com/artist/#comments Thu, 02 May 2019 12:30:35 +0000 http://blog.pmean.com/?p=1848 This page is moving to a new website.

]]> http://blog.pmean.com/artist/feed/ 0 Recommended: Data science curriculum roadmap http://blog.pmean.com/data-science-curriculum/ http://blog.pmean.com/data-science-curriculum/#comments Thu, 25 Apr 2019 14:19:37 +0000 http://blog.pmean.com/?p=1835 This page is moving to a new website.

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]]> http://blog.pmean.com/think-positively/feed/ 0 Recommended: Accessible R Markdown Documents http://blog.pmean.com/accessible-r-markdown/ http://blog.pmean.com/accessible-r-markdown/#comments Tue, 23 Oct 2018 19:46:18 +0000 http://blog.pmean.com/?p=1640 This page is moving to a new website.

]]> http://blog.pmean.com/accessible-r-markdown/feed/ 0 PMean: A simple structure for documentation http://blog.pmean.com/structure-for-documentation/ http://blog.pmean.com/structure-for-documentation/#comments Tue, 24 Jul 2018 16:02:01 +0000 http://blog.pmean.com/?p=1560 This page is moving to a new website.

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]]> http://blog.pmean.com/grading-rubric/feed/ 0 Recommended: Section 508 CoP: PDF Accessibility – Part One http://blog.pmean.com/pdf-accessibility/ http://blog.pmean.com/pdf-accessibility/#comments Tue, 03 Jul 2018 19:57:11 +0000 http://blog.pmean.com/?p=1537 This page is moving to a new website.

]]> http://blog.pmean.com/pdf-accessibility/feed/ 0 Recommended: Textbook Examples Applied Survival Analysis http://blog.pmean.com/ucla-software/ http://blog.pmean.com/ucla-software/#comments Sat, 24 Mar 2018 20:08:19 +0000 http://blog.pmean.com/?p=1417 This page is moving to a new website.

I’m teaching an online workshop for The Analysis Factor on survival analysis. It’s not announced yet, and I have a LOT of work to do before it is ready. One thing that will save me time is that I am taking many of my examples from the excellent textbook, Applied Survival Analysis Second Edition. One nice perk of this book is that the helpful folks at UCLA have taken every textbook example, and written up code (with comments!) to reproduce the book’s results. With the exception of a few advanced methods in later chapters, where only one or two software packages have the right capability, the code is written in parallel in R, SAS, SPSS, and Stata. They also have links to the raw data at the publishers website, and datasets stored in SAS format and SPSS format. How nice! Browse around and you’ll find software code for all the examples in other popular statistics textbooks as well.

Warning! The R examples look like they are from the first edition, not the second edition. A small nitpick for an otherwise very nice resource.

UCLA Institute for Digital Research and Education. Textbook Examples Applied Survival Analysis. Second edition by David W. Hosmer, Jr., Stanley Lemeshow, and Susanne May. Available at https://stats.idre.ucla.edu/other/examples/asa2/.

]]> http://blog.pmean.com/ucla-software/feed/ 0 Recommended: Welcome to developerWorks http://blog.pmean.com/developer-works/ http://blog.pmean.com/developer-works/#comments Fri, 23 Mar 2018 16:08:40 +0000 http://blog.pmean.com/?p=1404 This page is moving to a new website.

I got this recommendation from a friend. IBM has a large number of free resources explaining things like cloud computing and blockchain. I’m most interested in their section on analytics. There’s a nice introduction, for example, to natural language processing.

IBM. Welcome to developerWorks. Find tutorials, tools, and communities for developers. Available at https://www.ibm.com/developerworks/.

]]> http://blog.pmean.com/developer-works/feed/ 0 PMean: Resources for R http://blog.pmean.com/resources-for-r/ http://blog.pmean.com/resources-for-r/#comments Wed, 22 Nov 2017 16:39:17 +0000 http://blog.pmean.com/?p=849 This page is moving to a new website.

I attended several talks about R at the Joint Statistics meetings and noted some interesting packages and other resources during these talks. I lost track of that list until recently, but they are still relevant, so here they are.

Data Science with R, Garrett Grolemund, http://garrettgman.github.io

gitlab, https://about.gitlab.com

profvis, https://rstudio.github.io/profvis/

sparklyr, http://spark.rstudio.com

readr, http://blog.revolutionanalytics.com/2015/04/new-packages-for-reading-data-into-r-fast.html

purrr, https://blog.rstudio.org/2015/09/29/purrr-0-1-0/

tibble, https://blog.rstudio.org/2016/03/24/tibble-1-0-0/

haven, https://www.r-bloggers.com/reading-spss-data-into-r-with-haven/

 

 

 

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