Jan 31, 2019
Just had a discussion with my supervisor that I need to start learning R on my own time. Programming language number 3, let’s go! At least this one will be somewhat similar to MATLAB... 😂
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Just had a discussion with my supervisor that I need to start learning R on my own time. Programming language number 3, let’s go! At least this one will be somewhat similar to MATLAB... 😂
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In 1876 A. Légé & Co., 20 Cross Street, Hatton Gardens, London completed the first “tide calculating machine” for William Thomson (later Lor
I came across this article on R Bloggers and I think it's a wonderful example of the necessity of subject-matter familiarity in data science. For all the bells and whistles, modern data science techniques were not able to outperform a 19th century hand-cranked machine. The purpose of the machine, and more modern algorithm, was to predict tidal water displacement. The machine had 99% predictive accuracy and was able to extrapolate long beyond the input of initial values. The data science had 80% predictive accuracy and fell apart as it time went along.
What gives? Aren't we supposed to be better at this kind of stuff with the advent of advanced computers and statistical techniques? Yes, but as it turns out, the frequency of data collection doesn't resonate (e.g., is not a factor or product of) with the period of the moon's orbit around the earth. You know: The thing primarily responsible for the tides. This mismatch caused the lack of accuracy and the drift. If it wasn't for the author's deep subject-matter knowledge, and familiarity with their data, all the algorithms in the world wouldn't have helped make the model's accuracy as good as a single-purpose, hand-cranked computer.
An R Tutorial: Visual Representation of Complex Multivariate Relationships Using the R 'qgraph' Package, Part Two
An R Tutorial: Visual Representation of Complex Multivariate Relationships Using the R ‘qgraph’ Package, Part Two
An R programming tutorial by D.M. Wiig
This post is contained in a .pdf document. To access the document click on the green link shown below.
qgraphpost3
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After fighting a couple of rounds with BP’s global oil data. Finallly, success! My 1st R bar chart, of global oil production since 1965!
Some seriously cool Open R statistics tools
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Statistics with R - Beginner Level ☞ http://hii.to/Ny8wMeoTe #statistical #r #program #business
Statistics with R - Beginner Level ☞ http://hii.to/Ny8wMeoTe #statistical #r #program #business
Installing Packages
Manually Download and Install Packages
On your Internet browser, go to the R website, click CRAN, select a server, and click Packages under the Software heading. You are presented with a list of user-contributed package (x), use Cmd + F to search.
You need to download the .pdf and the package according to the OS.
Once in R, follow the path Packages & Data > Package Installer > Local Source Package > Install... Then select the file.
R shows you the progress.