2015

The R Consortium Gears Up For Business

September 24, 2015 | Joseph Rickert

by Joseph Rickert This week, the Infrastructure Steering Committee (ISC) of the R Consortium unanimously elected Hadley Wickham as its chair thereby also giving Hadley a seat on the R Consortium board of directors. Congratulations Hadley!! This is a major step forward towards putting the R Consortium in business. Not ... [Read more...]

Convergence and Asymptotic Results

September 24, 2015 | arthur charpentier

Last week, in our mathematical statistics course, we’ve seen the law of large numbers (that was proven in the probability course), claiming that given a collection  of i.i.d. random variables, with To visualize that convergence, we can use __ m=100 __ mean_samples=function(n=10){ + X=matrix(rnorm(n*... [Read more...]

Rentrez 1_0 released

September 24, 2015 | rOpenSci Blog - R

A new version of rentrez, our package for the NCBI's EUtils API, is making it's way around the CRAN mirrors. This release represents a substantial improvement to rentrez, including a new vignette that documents the whole package. This posts describes some of the new things in rentrez, and gives us ... [Read more...]

Rentrez 1.0 released

September 24, 2015 | rOpenSci Blog - R

A new version of rentrez, our package for the NCBI's EUtils API, is making it's way around the CRAN mirrors. This release represents a substantial improvement to rentrez, including a new vignette that documents the whole package. This posts describes some of the new things in rentrez, and gives us ... [Read more...]

Chinese R conference

September 24, 2015 | R on Rob J Hyndman

I will be speaking at the Chinese R conference in Nanchang, to be held on 24-25 October, on “Forecasting Big Time Series Data using R”. Details (for those who can read Chinese) are at china-r.org. [Read more...]

Chinese R conference

September 24, 2015 | Rob J Hyndman

I will be speaking at the Chinese R conference in Nanchang, to be held on 24–25 October, on “Forecasting Big Time Series Data using R”. Details (for those who can read Chinese) are at china-r.org. [Read more...]

Running Back and Wide Receiver Gold Mining – Week 3

September 23, 2015 | Michael Griebe

The graphs below summarize the projections from a variety of sources. This week’s summary includes projections from: CBS: CBS Average, Yahoo Sports, NFL, FOX Sports, NumberFire, FantasySharks, ESPN and FantasyFootballNerd.[...] The post Running Back and Wide Receiver Gold Mining – Week 3 appeared first on Fantasy Football Analytics. [Read more...]

subsetting data in ggtree

September 23, 2015 | R on Guangchuang Yu

Subsetting is commonly used in ggtree as we would like to for example separating internal nodes from tips. We may also want to display annotation to specific node(s)/tip(s). Some software may stored clade information (e.g. bootstrap value) as internal node labels. Indeed we want to manipulate ...
[Read more...]

Interpolation and smoothing functions in base R

September 23, 2015 | Andrie de Vries

by Andrie de Vries Every once in a while I try to remember how to do interpolation using R. This is not something I do frequently in my workflow, so I do the usual sequence of finding the appropriate help page: ?interpolate Help pages: stats::approx Interpolation Functions stats::NLSstClosestX ... [Read more...]

Kasseler useR Group: Data Science and Networking

September 23, 2015 | eoda GmbH

From October, the Kasseler useR Group meeting will be held on the second Wednesday of each month at 6.30 pm. The events will take place at Science Park Kassel. The Kasseler useR Group supports active exchange of information between R users. Discussions about experiences with R and news of R are ... [Read more...]

Fitting a neural network in R; neuralnet package

September 23, 2015 | Michy Alice

Neural networks have always been one of the most fascinating machine learning model in my opinion, not only because of the fancy backpropagation algorithm, but also because of their complexity (think of deep learning with many hidden layers) and structure inspired by the brain. Neural networks have not always been ... [Read more...]

Plotting 2

September 22, 2015 | wszafranski

In this post we’ll cover go into more detail on plotting commands. We’ll use a scatterplot (X-Y plot) as our example plot. Again we’ll use the command plot. ##First let's make some data x
[Read more...]

More on the Heteroscedasticity Issue

September 22, 2015 | matloff

In my last post, I dsciussed R software, including mine, that handles heteroscedastic settings for linear and nonlinear regression models. Several readers had interesting comments and questions, which I will address here. To review: Though most books and software assume homoscedasticity, i.e. constancy of the variance of the response ... [Read more...]

VW Big Data Play

September 22, 2015 | Gregory Kanevsky

Volkswagen made headlines lately for cheating U.S. EPA regulators. But let's pay some respect to their engineers.Apparently, there is no button or switch that tells car it's being tested - indeed - that would be obvious flaw in the emission test protoc... [Read more...]

Version 0.9.0 of eeptools released!

September 22, 2015 | Jared Knowles

A long overdue overhaul of my eeptools package for R was released to CRAN today and should be showing up in the mirrors soon. The release notes for this version are extensive as this represents a modernization of the package infrastructure and the reim... [Read more...]

How do you know if your model is going to work?

September 22, 2015 | Nina Zumel

Authors: John Mount (more articles) and Nina Zumel (more articles). Our four part article series collected into one piece. Part 1: The problem Part 2: In-training set measures Part 3: Out of sample procedures Part 4: Cross-validation techniques “Essentially, all models are wrong, but some are useful.” George Box Here’s a caricature of ...
[Read more...]
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