2905 search results for "TwitteR"

The R-Podcast Episode 9: Adventures in Data Munging Part 1

August 5, 2012
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It’s great to be back with a new episode after an eventful break! This episode begins a series on my adventures in data munging, a.k.a data processing. I discuss three issues that demonstrate the flexibility and versatility R brings for recoding messy values, important inconsistent data files, and pinpointing problematic observations and variables. We also have an extended listener feedback segment with an audio installment...

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Building a presentation, report or paper in R

August 1, 2012
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If you need to build a presentation, obviously you have following options: Powerpoint alike presentation Online engines LaTex The first two are beloved by business people and the third one is widely used in academia. The objective of the first group is shiny presentation, contrary to the second where asceticism and demand for automation are

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Edge Prediction in a Social Graph: My Solution to Facebook’s User Recommendation Contest on Kaggle

July 31, 2012
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Edge Prediction in a Social Graph: My Solution to Facebook’s User Recommendation Contest on Kaggle

A couple weeks ago, Facebook launched a link prediction contest on Kaggle, with the goal of recommending missing edges in a social graph. I love investigating social networks, so I dug around a little, and since I did well enough to score one of the coveted prizes, I’ll share my approach here. (For some background, the contest provided...

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Edge Prediction in a Social Graph: My Solution to Facebook’s User Recommendation Contest on Kaggle

July 30, 2012
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Edge Prediction in a Social Graph: My Solution to Facebook’s User Recommendation Contest on Kaggle

A couple weeks ago, Facebook launched a link prediction contest on Kaggle, with the goal of recommending missing edges in a social graph. I love investigating social networks, so I dug around a little, and since I did well enough to score one of the coveted prizes, I’ll share my approach here. (For some background, the...

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Plotting 95% Confidence Bands in R

July 24, 2012
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Plotting 95% Confidence Bands in R

I am comparing estimates from subject-specific GLMMs and population-average GEE models as part of a publication I am working on. As part of this, I want to visualize predictions of each type of model including 95% confidence bands. First I … Continue reading →

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How to tell when error bars correspond to a significant p-value

July 24, 2012
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How to tell when error bars correspond to a significant p-value

Can you tell when error bars based on 95 % CIs or standard errors correspond to a significant p-value? Don’t fret if you think it’s hard, a study from 2005 showed that researchers in psychogoly, behavior neuroscience and medicine had a hard time judging when error bars from two independent groups signified a significant difference.

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Outer Product of Character Vectors in R

July 19, 2012
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Outer Product of Character Vectors in R

What follows is like a kata to strengthen your R fundamentals. The lovely stats in the wild recently posted some hott data analysis of Olympians’ ages and sexes. Because I’m annoyingly picky about graphics, I asked for his code so I could ...

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Using integer programming in R to optimize cargo loads

July 16, 2012
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Using integer programming in R to optimize cargo loads

Linear Programming is a mathematical technique used to find the values of some variables (within the bounds of some defined constraints) to find the maximum value of a quantity. For example, consider this problem from the FishyOperations blog: A trading company is looking for a way to maximize profit per transportation of their goods. The company has a train...

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Dynamical systems: Mapping chaos with R

July 13, 2012
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Dynamical systems: Mapping chaos with R

Chaos. Hectic, seemingly unpredictable, complex dynamics. In a word: fun. I usually stick to the warm and fuzzy world of stochasticity and probability distributions, but this post will be (almost) entirely devoid of randomness. While chaotic dynamics are entirely deterministic, their sensitivity to initial conditions can trick the observer into seeing iid. In ecology, chaotic

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