3220 search results for "map"

Blog with RStudio, R, RMarkdown, Jekyll and Github.

December 9, 2014
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Blog with RStudio, R, RMarkdown, Jekyll and Github.

In the first post of this new blog I’ll outline how I’ve set the blog up. writing posts in Rmarkdown converting posts to markdown from R push to Github where Jekyll renders the markdown organising all as an RStudio project What I wanted I wanted to be able to write about R related things without having to...

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4th Japan.R meeting on December, 6

December 9, 2014
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4th Japan.R meeting on December, 6

We had an exciting meeting "Japan.R" with many talks on last Saturday.(I should have made an advance notice.) (This is the picture of our venue. Thanks FreakOut!!!)We are so pleased that many participants(over 200!!!) enjoyed the talks and have a great relationship each other in pizza party. The following link is the...

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Next Kölner R User Meeting: Friday, 12 December 2014

December 9, 2014
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Next Kölner R User Meeting: Friday, 12 December 2014

The next Cologne R user group meeting is scheduled for this Friday, 12 December 2014.We have an exciting agenda with two talks on Julia and Dynamic Linear Models:Introduction to Julia for R Users Hans Werner BorchersJulia is a high-performance dynamic programming language for scientific computing, with a syntax that is familiar to users of other technical...

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Going Bananas #1: Superman Was Born In Kentucky!

December 8, 2014
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Going Bananas #1: Superman Was Born In Kentucky!

Who knows? Could be the tropic heat or something that I eat, that makes me gonzo (I’m Going Bananas, Madonna) This is the first post of a new category called “Going Bananas” in which I will post totally crazy experiments. My aim is to try some techniques without taking care of making serious things. These are … Continue reading...

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Thursday Dec 11: Webinar on sports analytics with R and Storm

December 8, 2014
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A quick heads-up that this Thursday (December 11), Allen Day from MapR and Bill Jacobs from Revolution Analytics will be live presenting a new webinar, Batter Up! Advanced Sports Analytics with R and Storm. The analysis will be of baseball data, but the webinar will be of interest to anyone interested in doing large-scale statistical analysis with R of...

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Snowdoop, Part II

December 7, 2014
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Snowdoop, Part II

In my last post, I questioned whether the fancy Big Data processing tools such as Hadoop and Spark are really necessary for us R users.  My argument was that (a) these tools tend to be difficult to install and configure, especially for non-geeks; (b) the tools require learning new computation paradigms and function calls; and … Continue reading...

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A comment on preparing data for classifiers

December 4, 2014
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A comment on preparing data for classifiers

I have been working through (with some honest appreciation) a recent article comparing many classifiers on many data sets: “Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?” Manuel Fernández-Delgado, Eva Cernadas, Senén Barro, Dinani Amorim; 15(Oct):3133−3181, 2014 (which we will call “the DWN paper” in this note). This paper applies 179 Related posts:

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A New Volatility Strategy, And A Heuristic For Analyzing Robustness

December 4, 2014
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A New Volatility Strategy, And A Heuristic For Analyzing Robustness

This post is motivated by a discussion that arose when I tested a strategy by Frank of Trading The Odds … Continue reading →

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Subjective Ways of Cutting a Continuous Variables

December 2, 2014
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Subjective Ways of Cutting a Continuous Variables

You have probably seen @coulmont's maps. If you haven't, you should probably go and spend some time on his blog (but please, come back afterwards, I still my story to tell you). Consider for instance the maps we obtained for a post published in Monkey Cage, a few months ago, The codes were discussed on a blog post (I...

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Ants, snakes, and the hydrophobic-polar model

December 1, 2014
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Ants, snakes, and the hydrophobic-polar model

The other night I was reading Lesk’s Introduction to Protein Science, when I came across this diagram: A lattice model represents the structure of a protein as a connected set of points distributed at discrete and regular positions in space, with simplified interaction rules for calculating the energies of different conformations. For small lattice polymers, it is...

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