Monthly Archives: July 2013

Unicode Tips in Python 2 and R

July 9, 2013
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Unicode Tips in Python 2 and R

Most of time, I don’t need to deal with different encodings at all. When possible, I use ASCII characters. And when there is a little processing in Chinese characters or other Unicode characters, I use .Net languages or JVM languages, in which every string is Unicode and of course when the characters are displayed they are displayed as characters...

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googleVis tutorial at useR!2013

July 9, 2013
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googleVis tutorial at useR!2013

Today Diego and I will give our googleVis tutorial at useR!2013 in Albacete, Spain.googleVis Tutorial at useR! 2013We will cover:Introduction and motivationGoogle Chart ToolsR package googleVisConcepts of googleVisCase studiesgoogleVis on shiny

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A possibility for use R and Hadoop together

July 8, 2013
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(This article was first published on Milano R net, and kindly contributed to R-bloggers) As mentioned in the previous article, a possibility for dealing with some Big Data problems is to integrate R within the Hadoop ecosystem. Therefore, it’s necessary to have a bridge between the two environments. It means that R should be capable of handling data the...

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Modeling Residential Electricity Usage with R – Part 2

July 8, 2013
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Modeling Residential Electricity Usage with R – Part 2

(This article was first published on Commodity Stat Arb, and kindly contributed to R-bloggers) I can’t believe it has been nearly 6 months since I last posted.  Given the sustained heat it seemed like a good idea to finish off this subject. As hinted at in my last post, temperature is the missing variable to make sense of Residential...

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Another view of ordinary regression

July 8, 2013
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Another view of ordinary regression

This is something I’ve been meaning to write for ages. My formal training for most things is limited. Like a lot of folks, I’m an autodidact. This is good in that I’m always learning and always studying those things that I enjoy. At the same time, it means that I take in information in a

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Plotting principal component analysis with ggplot #rstats

July 8, 2013
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Plotting principal component analysis with ggplot #rstats

This script was almost written on parallel to the sjPlotCorr script because it uses a very similar ggplot-base. However, there’s also a very nice posting over at Martin’s Bio Blog which show alternative approaches on plotting PCAs. Anyway, if you … Weiterlesen →

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analyze the american time use survey (atus) with r

July 8, 2013
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the american time use survey collects information about how we spend our time.  it's a pretty simple setup: sampled individuals write down everything they do for a single twenty-four hour period, in ten minute intervals.  those diaries are a...

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Estimating ODE’s parameters

July 7, 2013
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(This article was first published on Just Another R Blog, and kindly contributed to R-bloggers) To leave a comment for the author, please follow the link and comment on their blog: Just Another R Blog. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps,...

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change in weight of cars plot

July 7, 2013
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change in weight of cars plot

Based on last week's faster algorithm I wanted to finish with car weights. Unfortunately a fail again. By now it is a fail of myself, it needs a bit more dedication and grunt than I am willing and able to give for this blog. This week I added...

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Interactive Heatmaps (and Dendrograms) – A Shiny App

July 7, 2013
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Interactive Heatmaps (and Dendrograms) – A Shiny App

Heatmaps are a great way to visualize data matrices. Heatmap color and organization can be used to  encode information about the data and metadata to help learn about the data at hand. An example of this could be looking at the raw data  or hierarchically clustering samples and variables based on their similarity or differences.

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