1881 search results for "time series"

Classification of the Hyper-Spectral and LiDAR Imagery using R (mostly). Part 3: Shadow Removal

May 8, 2014
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Classification of the Hyper-Spectral and LiDAR Imagery using R (mostly). Part 3: Shadow Removal

This is my third post in this series, here are the links to the Part 1 and Part 2. Sorry for the delay, but at that time I got completely consumed with my PhD thesis and this story just went out of my mind. To the point. There were 2 types of shadows I had...

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Sales Dashboard in R with qplot and ggplot2 – Part 2

May 8, 2014
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Sales Dashboard in R with qplot and ggplot2 – Part 2

In Part 1 of this series we moved the first steps into building our Sales Dashboard in R. In this Part 2 we explore additional ways to display sales related data. If you haven't read Part 1, it is highly … Continue reading →

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analyze the censo demografico no brasil (censo) with r and monetdb

May 6, 2014
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almost a century older than its own capital city, the decennial censo demografico no brasil (censo) forms the basis of every major survey product in the country.  the pesquisa nacional por amostra de domicilios (pnad), the pesquisa de orcamentos f...

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Importing 100 years of climate change into R

May 5, 2014
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Importing 100 years of climate change into R

This is a flashback post, I was working on species distribution shifts over the last 40 years last summer and recently Rémi Genevest contacted me asking me how I managed to import the CRU TS 1.2 dataset into R. As always a more readable version of the code can be found here. At that time I

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Five Reasons to Teach Elementary Statistics With R: #3

May 4, 2014
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Five Reasons to Teach Elementary Statistics With R:  #3

Introduction Reason #3: RStudio’s shiny Examples “Slow” Simulation Understanding Model Assumptions Types of Error Illustrating Fine Points Playing Games

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Five Reasons to Teach Elementary Statistics With R: #3

May 4, 2014
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Five Reasons to Teach Elementary Statistics With R:  #3

Introduction Reason #3: RStudio’s shiny Examples “Slow” Simulation Understanding Model Assumptions Types of Error Illustrating Fine Points Playing Games

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Dave Giles on "MCMC for Econometrics Students"

April 29, 2014
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Dave Giles on "MCMC for Econometrics Students"

In an excellent four part series of posts in March, Dave Giles introduces Markov Chain Monte Carlo (MCMC) and Gibbs samplers.  In these posts he gives a cogent explanation for the reasoning and mechanics involved in this branch of econometrics/sta...

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R Helps With Employee Churn

April 24, 2014
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R Helps With Employee Churn

by Joseph Rickert Pasha Roberts, Chief Scientist at Talent Analytics, is writing a series of articles on Employee Churn for the Predictive Analytics Times that comprise a really instructive and valuable example of using R to do some basic predictive modeling. So far, Pasha has published Employee Churn 201 in which he makes a case for the importance of...

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Singleton Remover CSV v0.3

April 21, 2014
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Singleton Remover CSV v0.3

I created a small program called Singleton Remover CSV to help researchers process files quickly that might otherwise take a long time to be handled by hand. The program simply compares ID values given in the first two columns of a .csv file, saves any...

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Vectorization in R: Why?

April 16, 2014
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Here are my notes from a recent talk I gave on vectorization at a Davis R Users’ Group meeting. Thanks to Vince Buffalo, John Myles White, and Hadley Wickham for their input as I was preparing this. Feedback welcome! Beginning R users are often told to “vectorize” their code. Here, I try to explain...

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