783 search results for "Register"

10 new R jobs from around the world (2016-04-04)

April 4, 2016
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10 new R jobs from around the world (2016-04-04)

R-users Resumes R-users.com features a Resume section with CVs from over 180 R users. You can submit your resume for free by registering as a “job seeker” (you may also browse the resumes through a paid subscription). Here are the new R Jobs for 2016-04-04. To post your R job on the next post Just visit this link and post a new (free) R job to the R community. To get added...

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Where People Live, part 2

April 4, 2016
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Where People Live, part 2

Following my previous post, I wanted to use another dataset to visualize where people live, on Earth. The dataset is coming from sedac.ciesin.columbia.edu. We you register, you can download the database > base=read.table("glp00ag15.asc",skip=6) The database is a ‘big’ 1440×572 matrix, in each cell (latitude and longitude) we have the population > X=t(as.matrix(base,ncol=1440)) > dim(X) 1440 572 The dataset...

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Election analysis contest entry part 1 – introducing the nzelect R package

April 2, 2016
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Election analysis contest entry part 1 – introducing the nzelect R package

The contest Inspired by Ari Lamstein’s R Election Analysis Contest, I’ve fast-tracked a project that’s been at the back of my mind for a while, to make available in a friendly, tidy R package a range of data about New Zealand elections. My entry for the contest will involve 3 or 4 posts over the next week or...

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Election tRends: An interactive US election tracker (using Shiny and Plotly)

March 29, 2016
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Guest post by Jonathan Sidi Introduction The US primaries are coming on fast with almost 120 days left until the conventions. After building a shinyapp for the Israeli Elections I decided to update features in the app tried out plotly in the shiny framework. As a casual voter trying to gauge the true temperature of … Continue reading...

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Learning from Learning Curves

March 29, 2016
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Learning from Learning Curves

by Bob Horton, Senior Data Scientist, Microsoft This is a follow-up to my earlier post on learning curves. A learning curve is a plot of predictive error for training and validation sets over a range of training set sizes. Here we’re using simulated data to explore some fundamental relationships between training set size, model complexity, and prediction error. Start...

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Trump Losing and Feeling the Bern in Utah

March 24, 2016
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Trump Losing and Feeling the Bern in Utah

Well, it’s been an interesting election season so far, right? Everybody holding up OK? Utah held its caucuses this past Tuesday on March 22 and I thought I would do a bit of plotting to show the results. We can get the JSON data from CNN, as pointed out by Bob Rudis in his post here. Utah’s results...

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Get ready for the New York R Conference

March 24, 2016
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Get ready for the New York R Conference

by Joseph Rickert Last year, I wrote the New York R Conference “set the bar pretty darn high for a first time conference”. Not only was there an outstanding lineup of speakers, but the energy and enthusiasm that conference attendees brought with them, or maybe just generated on the spot, was remarkable. This year I am definitely looking forward...

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satRdays are go!

March 23, 2016
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I’m very pleased to say that the R Consortium agreed to the support the satRday project! The idea kicked off in November and I was over the moon with the response from the community, then we garnered support before submitting to the Consortium and I must have looped the moon a few times as we The post

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Keynotes announced for EARL 2016

March 22, 2016
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Keynotes announced for EARL 2016

We are pleased to announce our two keynote speakers this year at EARL (Effective Application of the R Language) Conference from 13th-15th September. The keynotes will be presenting on the morning of Wednesday 14th September. Kenneth Cukier Kenneth Cukier is … Continue reading →

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R Markdown Custom Formats

March 21, 2016
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R Markdown Custom Formats

The R Markdown package ships with a raft of output formats including HTML, PDF, MS Word, R package vignettes, as well as Beamer and HTML5 presentations. This isn’t the entire universe of available formats though (far from it!). R Markdown formats are fully extensible and as a result there are several R packages that provide additional formats.

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