Monthly Archives: June 2010

Reminder: Supercharging BI with R webinar tomorrow

June 1, 2010
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If you haven't done so already, it's not too late to register for tomorrow's 1-hour webinar, Supercharge BI and Dashboards with Predictive Analytics. I'll be one of the presenters, talking about R and its applications for business intelligence. The topics and speakers will be: Introduction: Analytics and BI (Steve Miller, OpenBI) How BI Complements Predictive Analytics (Andrew Lampitt, Jaspersoft)...

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Program for useR! 2010 announced

June 1, 2010
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The program of invited lectures, contributed talks and posters for this year's annual R user conference useR! 2010 is now available, and it looks to be another excellent event. (Revolution Analytics is a sponsor of useR! 2010.) Of note this year is an increasing focus on commercial applications of R, with no less than three multi-talk sessions on applications...

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MLB Baseball Pitching Matchups ~ grabbing pitcher and/or batter codes by specify game date using R XML

June 1, 2010
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MLB Baseball Pitching Matchups ~ grabbing pitcher and/or batter codes by specify game date using R XML

MLB Gameday stores its game data in XML format, with the players denoted in ID numbers. To find out who is who, the codes are stored in pitchers.xml or batters.xml of each game. My DownloadPitchFX.R script can download the ID numbers, but it doesn’t look to see who the ID is because of the extra

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Data mining with R

June 1, 2010
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Data mining with R

Good long weekend... Ready to get back into R and data mining...After a personal appointment this morning, I'm now reading an early draft of Data Mining with R: Learning with Case Studies (Chapman & Hall/CRC Data Mining and Knowledge Discovery Seri...

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Recent picture of my niece Lily

June 1, 2010
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Recent picture of my niece Lily

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Access attribute_hidden Functions in R Packages

June 1, 2010
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Access attribute_hidden Functions in R Packages

Maybe the title should have been prepended with “Don’t…” The source code of R is littered with “attribute_hidden” declarations. These declarations attempt to ensure that the variable or function may only be accessed by code in the core R distribution, and not by R extension packages. Generally there is a good reason for this. For

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