Monthly Archives: April 2013

R and social media

April 10, 2013
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R is a piece of software, but it is also a community. Help community The most visible aspect of the R community is help.  This is also the most useful to new users.  The initial sense of cooperation with R was driven mainly by people helping each other. You don’t need to actively participate in The post R...

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A few lists for data scientists and statisticians

April 10, 2013
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Looking for more resources on the web or people to follow on Twitter? Here are some lists you may find useful: 100 Savvy Sites on Statistics, which includes 17 sites that focus on R Programming Kalido offers this list of 30 influential data scientists on Twitter Big Data Republic is taking votes for this list of 100 influential tweeters...

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Highlight cells in markdown tables

April 10, 2013
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Highlight cells in markdown tables

Although I have always wanted to add such feature to pander, a recent question on SO urged me to create some helper functions so that users could easily highlight some rows, columns or even just a few cells in a table and export the result to markdown,...

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Video: Using R for causal inference in a study of expensive public policy decisions

April 10, 2013
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Video: Using R for causal inference in a study of expensive public policy decisions

This post shares the video from a talk presented on 9th April 2013 by Jim Savage at Melbourne R Users. Billions of dollars a year are spent subsidising tuition of Australian university students. A controversial report last year by the … Continue reading →

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Spring Cleaning Data: 3 of 6- The Little but Big Correction

April 10, 2013
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Building on the previous posts (post 1 & post 2) I found there were 12 instances with the type of credit where there was a "Primary*" which means the lender borrowed twice in the same day, in the 2010 q4 data. It would seem simple enough in Excel, ...

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highlight 0.4.1

April 10, 2013
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The highlight package has been missing from CRAN for quite some time Now it is back, with fewer dependencies. It used to depend on Rcpp and parser, but since the code logic from parser has been brought to R, highlight … Continue reading →

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Mobile version of the graph gallery

April 10, 2013
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Mobile version of the graph gallery

The R Graph Gallery has been a popular website for many years now. The number of graphics keeps growing as people send me their code. When browsing the website with a mobile device the experience was frustrating, as too much … Continue reading →

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Milano (Italy). April 18, 2013. Third Milano R net meeting: agenda

April 10, 2013
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Milano (Italy). April 18, 2013. Third Milano R net meeting: agenda

April 18, 2013 - 18:00 - 21:00 Fiori Oscuri Bistrot & Bar (www.fiorioscuri.it) Via Fiori Oscuri, 3 - Milano (Zona Brera) 18.00 - 18.15 Registration 18.15 - 18.30 Welcome presentation Andrea Spanò, Partner at Quantide 18.30 - 19.00 Digit recognition Machine … Continue reading →

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Finding the Distribution Parameters

April 9, 2013
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Finding the Distribution Parameters

This is a brief description on one way to determine the distribution of given data. There are several ways to accomplish this in R especially if one is trying to determine if the data comes from a normal distribution. Rather than focusing on hypothesis testing and determining if a distribution is actually the said distribution

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2013-4 Generating Structured and Labelled SVG

April 9, 2013
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This article discusses the importance of providing structure and labelling within SVG code, particularly when the SVG code is generated indirectly by a high-level system and when the SVG code describes a complex image such as a statistical plot. We … Continue reading →

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