|
Post by Admin on Oct 6, 2018 20:53:23 GMT
www.tuscl.net/discussion.php5?id=60693In hand now, Statistics With R, A Beginner's Guide, by Robert Stinerock 2018. Book is so so, general overview of statistics, more statistics appreciation. Not like math text book, laying things our rigorously and proving all assertions. I guess this is how Busness students do things. Geometric Mean, as opposed to ordinary Mean, Permutations and Combinations, Bayes Thm, Binomial Thm, and Regression. Worth understanding and using, but not that difficult. As far as R itself, not that much info about how to program it. Wants us to download from www.r-project.org/and also rstudio www.rstudio.com/Interesting, author said he considered writing his book around Excel. Is there an open source Linux alternative to Excel? Spread sheets are useful. Decades ago you could by source code for libraries which would link from C code to Excel file format. But now I think they have got it so you can use Dynamic Linking to write directly into Excel. Explains here: www.amazon.com/Python-Programming-Win32-Windows-Programmers/dp/1565926218/ref=sr_1_1?ie=UTF8&qid=1538859067&sr=8-1&keywords=Python+programming+on+Win32+%2F+Mark+Hammond+and+Andy+RobinsonSo next R books to get:
|
|
|
Post by Admin on Oct 6, 2018 21:11:28 GMT
So next R books to get:
The book of R : a first course in programming and statistics / by Tilman M. Davies. (2016) Business analytics using R - A practical approach / Dr. Umesh R. Hodeghatta, Umesha Nayak. (2017) Deep learning with R / François Chollet ; with J.J. Allaire. (2018) Getting started with RStudio / John Verzani. (2011) Learn business analytics in six steps using SAS and R : a practical, step-by-step guide to learning business analytics / Subhashini Sharma Tripathi. (2016) Learning R / Richard Cotton. (2013) R for data science : import, tidy, transform, visualize, and model data / Hadley Wicham and Garrett Grolemund. (2017) R for Microsoft Excel users : making the transition for statistical analysis / Conrad Carlberg. (2017) R packages / Hadley Wickham. (2015) R projects / by Joseph Schmuller, PhD. (2018)
Functional data analysis with R and MATLAB / J.O. Ramsay, Giles Hooker, Spencer Graves (2009)
Note this: Power electronic systems : walsh analysis with MATLAB / Anish Deb, Suchismita Ghosh (2014)
|
|
|
Post by Admin on Oct 23, 2018 21:47:03 GMT
|
|