3740 search results for "gis"

Know India through Visualisations – 1

February 1, 2014
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Know India through Visualisations – 1

I'm going to produce just a couple of charts, a teaser of sorts in this post. In the forthcoming posts I'll dig deeper.I was amazed with the existing list of R packages to work with spatial data, without needing to get into much of the technical detail...

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Bad Bayes: an example of why you need hold-out testing

February 1, 2014
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Bad Bayes: an example of why you need hold-out testing

We demonstrate a dataset that causes many good machine learning algorithms to horribly overfit. The example is designed to imitate a common situation found in predictive analytic natural language processing. In this type of application you are often building a model using many rare text features. The rare text features are often nearly unique k-grams Related posts:

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ShareLaTeX now supports knitr

January 31, 2014
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ShareLaTeX (click here to register a free account) is a wonderful and reliable on-line editor for writing and compiling LaTeX documents “in the cloud” as well as working together in real-time (imagine Google Docs supporting LaTeX => you get ShareLaTeX).…Read more ›

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Python and R: Is Python really faster than R?

January 30, 2014
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A friend of mine asked me to code the following in R:Generate samples of size 10 from Normal distribution with $\mu$ = 3 and $\sigma^2$ = 5;Compute the $\bar{x}$ and $\bar{x}\mp z_{\alpha/2}\displaystyle\frac{\sigma}{\sqrt{n}}$ using the 95% confidence...

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Comparing multiple (g)lm in one graph #rstats

January 29, 2014
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Comparing multiple (g)lm in one graph #rstats

It’s been a while since a user of my plotting-functions asked whether it would be possible to compare multiple (generalized) linear models in one graph (see comment). While it is already possible to compare multiple models as table output, I now managed to build a function that plots several (g)lm-objects in a single ggplot-graph. The

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Analyzing Sleep with Sleep Cycle App and R

January 28, 2014
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Analyzing Sleep with Sleep Cycle App and R

I have been tracking my sleep for almost two years now using my Fitbit. I started with the Fitbit Ultra and then moved on the the Fitbit One after it came out. In October 2013 I found out about the Sleep Cycle (Link) app for the iPhone. For weeks, Sleep Cycle was listed as the … Continue reading...

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Finding out repeated variables in multiple datasets

January 28, 2014
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Finding out repeated variables in multiple datasets

Few days ago I posted on doing a smart job on importing several data files alike from a directory. Today, I want to return to this topic, but stretching it a bit further by adding some complexity. I want to have a snapshot of the datasets even before starting work with them. That is, I

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Emerging Currencies with rCharts + FRED

January 27, 2014
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I liked this chart a lot. #Dailychart: Argentina's plunging peso is not alone: http://t.co/CWnaNLcm4T pic.twitter.com/4Nr6EgRGx9— The Economist (@ECONdailycharts) January 27, 2014 I thought I would show how we can semi-replicate it in R with rCharts.  Here it is with the currencies that are on FRED with

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How to convert odds ratios to relative risks

January 27, 2014
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How to convert odds ratios to relative risks

My short paper on this came out on Friday in the British Medical Journal. The aim is to help both authors and readers of research make sense of this rather confusing but unavoidable statistic, the odds ratio (OR). The fundamental … Continue reading →

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Expected overestimation of Cohen’s d under publication bias

January 27, 2014
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Expected overestimation of Cohen’s d under publication bias

Earlier this week I read this article about “Why Publishing Everything Is More Effective than Selective Publishing of Statistically Significant Results” by Mercal et al (2014). The authors simulated different meta-analytic scenarios and came to the conclusion that publishing everything is more effective for the scientific collective. This got me thinking about...

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