September 2016

Bye Ripples, Hi Fronkonstin

September 2, 2016 | aschinchon

Nobody knows how to say goodbye, It seems so easy until you try (Nobody Knows, The Lumineers) I have been user of WordPress.com for (almost) three years and it has been a very good experience. But I want to take more control of my blog: install plugins, manage ads (... [Read more...]

The importance of Data Visualization

September 2, 2016 | Fisseha Berhane

Before we perform any analysis and come up with any assumptions about the distributions of and relationships between variables in our datasets, it is always a good idea to visualize our data in order to understand their properties and identify appropriate analytics techniques. In this post, let’s see the ... [Read more...]

The X-Factors: Where 0 means 1

September 1, 2016 | Murtaza Haider

Hadley Wickham in a recent blog post mentioned that "Factors have a bad rap in R because they often turn up when you don’t want them." I believe Factors are an even bigger concern. They not only turn up where you don't want them, but they also turn things ...
[Read more...]

Updated R Markdown thesis template

September 1, 2016 | chesterismay

In October of 2015, I released an R Markdown senior thesis template R package and discussed it in the blogpost here. It was well-received by students and faculty that worked with it and this past summer I worked on updating … Continue reading → [Read more...]

Variables can synergize, even in a linear model

September 1, 2016 | John Mount

Introduction Suppose we have the task of predicting an outcome y given a number of variables v1,..,vk. We often want to “prune variables” or build models with fewer than all the variables. This can be to speed up modeling, decrease the cost of producing future data, improve robustness, improve ... [Read more...]

R packages for forecast combinations

September 1, 2016 | R on Rob J Hyndman

It has been well-known since at least 1969, when Bates and Granger wrote their famous paper on “The Combination of Forecasts”, that combining forecasts often leads to better forecast accuracy. So it is helpful to have a couple of new R packages whi... [Read more...]
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