2015

Revisiting crimes against women in India

October 15, 2015 | Tinniam V Ganesh

Here I go again, raking the muck about crimes against women in India. My earlier post “A crime map of India in R: Crimes against women in India” garnered a lot of responses from readers. In fact one of the readers even volunteered to create the only choropleth map in ...
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Estimating Quasi-Poisson Regression with GLIMMIX in SAS

October 14, 2015 | statcompute

When modeling the frequency measure in the operational risk with regressions, most modelers often prefer Poisson or Negative Binomial regressions as best practices in the industry. However, as an alternative approach, Quasi-Poisson regression provides a more flexible model estimation routine with at least two benefits. First of all, Quasi-Poisson regression ... [Read more...]

Tests, Power and Significance

October 14, 2015 | arthur charpentier

In the mathematical statistics course today, we started talking about tests, and decision rules. To illustrate all the concepts introduced today, we considered the case where we have a sample  with . And we want to test   against  In the course, we’ve seen that we could use a test based ... [Read more...]

parallelsugar: An implementation of mclapply for Windows

October 14, 2015 | nmv

An easy way to run R code in parallel on a multicore system is with the mclapply() function. Unfortunately, mclapply() does not work on Windows machines because the mclapply() implementation relies on forking and Windows does not support forking. Previously, I published a hackish solution that implemented a fake mclapply() ... [Read more...]

Introducing the ‘gimms’ package

October 14, 2015 | Tim Salabim

This is a guest post by Florian Detsch What it is all about With the most recent update of the AVHRR GIMMS data collection to NDVI3g (Pinzon and Tucker, 2014), we decided to create a package from all functions we … Continue reading →
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Dealing with Imposter Syndrome in Graduate School

October 14, 2015 | strictlystat

In my post of recommendations for first-year students, I discussed some tips and viewpoints to help the practical, pragmatic aspects about being a first year student. In this post, I'd like to discuss the common misconceptions/viewpoints that are destructive to new students. The Dunning-Kruger effect I know something, so ...
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A high quality plot

October 14, 2015 | wszafranski

I’ll keep this post short and sweet. Here’s some code to get a really nice looking plot in R. It has a high pixel count to produce a high resolution output that can be used in a word document. Because of this, the size of everything in the ... [Read more...]

Smoothing Techniques using basis functions: Fourier Basis

October 14, 2015 | Rene Essomba

In this post we will introduce the Fourier basis functions in the context of Functional Data Analysis. The Fourier basis function is method to smooth out data varying over a continuum and exhibiting a cyclical trend. Smoothing techniques play an important role in Functional Data Analysis (FDA) as they provide ... [Read more...]

Angus Deaton, Consumer Demand, & the Nobel Prize

October 13, 2015 | Dave Giles

I was delighted by yesterday's announcement that Angus Deaton has been awarded the Nobel Prize in Economic Science this year. His contributions have have been many, fundamental, and varied, and I certainly won't attempt to summarize them here. Suffice to say that the official citation says that the award is "... [Read more...]

Angus Deaton, Consumer Demand, & the Nobel Prize

October 13, 2015 | Dave Giles

I was delighted by yesterday's announcement that Angus Deaton has been awarded the Nobel Prize in Economic Science this year. His contributions have have been many, fundamental, and varied, and I certainly won't attempt to summarize them here. Suffice to say that the official citation says that the award is "... [Read more...]

Using miniCRAN in Azure ML

October 13, 2015 | Joseph Rickert

by Michele Usuelli Microsoft Data Scientist Azure Machine Learning Studio is a drag-and-drop tool to deploy data-driven solutions. It contains pre-built items including data preparation tools and Machine Learning algorithms. In addition, it allows to include R and Python custom scripts. In order to build powerful R tools, you might ... [Read more...]

New R-Academy course in November 2015: “R in Live Systems“

October 13, 2015 | eoda GmbH

The eoda R-Academy course “R in Live Systems” teaches key aspects of using R in a productive business environment with many practical examples from 16th to 17th November 2015 in Kassel, Germany. The professional use of R indicates special requirements in terms of reproducibility, compatibility, teamwork, load distribution and rights management. ... [Read more...]

Rexer Analytics Survey Results

October 13, 2015 | Bob Muenchen

Rexer Analytics has released preliminary results showing the usage of various data science tools. I’ve added the results to my continuously-updated article, The Popularity of Data Analysis Software. For your convenience, the new section is repeated below. Surveys of Use One … Continue reading →
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Understanding Margin of Error for Small Populations

October 13, 2015 | » R

I got an email today inquiring if the margin of error reported in the newest poll by Datafolha would possibly be misleading. The polling firm often report surveys with regular sizes (1000/2400), so the margin of error calculated is in the range of +/-2% to +/-3%. However, in the latest pool, ...
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Recommendations for First Year Graduate Students

October 12, 2015 | strictlystat

This blog post is a little late; I wanted to get it out sooner. As new students have flooded the halls for the new terms at JHU Biostat, I figured I would give some recommendations to our new students, and biostatistics students in general. Some of these things may be ... [Read more...]
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