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I almost missed out on the R Journal for this month- great reading,
and I liked Dr Hadley’s article on stringr package the best. Really really useful package and nice writing too
(incidentally I just downloaded a local copy of his ggplot website at http://had.co.nz/ggplot2/ggplot-static.zip
I aim to really read that one up
Okay, announcement time
I just signed a contract with Springer for a book on R, some what in first half of 2011
” R for Business Analytics“
its going to be a more business analytics than a stats perspective ( I am a MBA /Mech Engineer)
and use cases would be business analytics cases. Do write to me if you need help doing some analytics in R (business use cases)- or want something featured. Big focus would be on GUI and easier analytics, using the Einsteinian principle to make things as simple as possible but no simpler)
- Analysis of Facebook status updates (revolutionanalytics.com)
- Winners of 2010 ggplot2 case study competition (revolutionanalytics.com)
- Springer launchers new service tool for usage and trends (teleread.com)
- High Impact Analytics Introduces First Real-Time, Software Business Analytics For Small- to Mid-Size Walmart and Sam’s Club Suppliers (prweb.com)
- Top 5 Methods to Choose a Thesis Topic (psipsychologytutor.org)
- Modern football journalism… (scissorskick.wordpress.com)
/* three methods: */
/* 1. Call R directly – Some errors are not reported to log */
x “’C:\Program Files\R\R-2.12.0\bin\r.exe’–no-save –no-restore <”"&rsourcepath\tsdiag.r”">”"&rsourcepath\tsdiag.out”"”;
/* include the R log in the SAS log */7data _null_;
put ’R LOG: ’ _infile_;
/* include the image in the sas output.Specify a file if you are not using autogenerated html output */
put “<IMG SRC=’” “&rsourcepath\plot.png” “’ border=’0’>”;
put “<IMG SRC=’” “&rsourcepath\acf.png” “’ border=’0’>”;
put “<IMG SRC=’” “&rsourcepath\pacf.png” “’ border=’0’>”;
put “<IMG SRC=’” “&rsourcepath\spect.png” “’ border=’0’>”;
put “<IMG SRC=’” “&rsourcepath\fcst.png” “’ border=’0’>”;
ods html close;
The R code to create a time series plot is quite elegant though-
library(tseries) air <- AirPassengers #Datasetname ts.plot(air) acf(air) pacf(air) plot(decompose(air)) air.fit <- arima(air,order=c(0,1,1), seasonal=list(order=c(0,1,1), period=12) #The ARIMA Model Based on PACF and ACF Graphs tsdiag(air.fit) library(forecast) air.forecast <- forecast(air.fit) plot.forecast(air.forecast)
About the Author-
Sam Croker has a MS in Statistics from the University of South Carolina and has over ten years of experience in analytics. His research interests are in time series analysis and forecasting with focus on stream-flow analysis. He is currently using SAS, R and other analytical tools for fraud and abuse detection in Medicare and Medicaid data. He also has experience in analyzing, modeling and forecasting in the finance, marketing, hospitality, retail and pharmaceutical industries.
- SAS claims innovation boost with analytics updates (v3.co.uk)
- Forecasting with long seasonal periods (r-bloggers.com)
- Summary plots (r-bloggers.com)
- SAS chief says global software sales up 5 pct (reuters.com)
- Business Analytics Leader SAS Joins White House Education Effort (eon.businesswire.com)
- Plotting Time Series data using ggplot2 (r-bloggers.com)
- Econometrics and R (r-bloggers.com)
- The Spectrum of Time Series Forms (datamining.typepad.com)
Oracle announced Unbreakable Oracle Linux (which is the first time I have seen Unbreakable word used in a formal software name)- Hats off to good ol’ Larry chutzpah. It is also quite a fast form of Linux for Enterprises-as the stats say at http://www.oracle.com/us/technologies/linux/ubreakable-enterprise-kernel-linux-173350.html
LibreOffice is a new fork from OpenOffice- Basically people who want to ensure OpenOffice remains free. It basically consists of efforts from everybody except Apple, Microsoft and Oracle (http://www.documentfoundation.org/supporters/) and it’s a new kind of workable office productivity suite-determined to remain free. I have used it- a bit shaky- but I really liked the new design and willingly will test it (and auto submit bugs) . It would be interesting to see the reaction of enterprise vendors like SAS, IBM,Dell, HP (and Lenovo) and etc -as their support would be critical to both Unbreakable Oracle Linux and Unshakable LibreOffice.
See more here-http://www.documentfoundation.org/download/-
- OpenOffice leaves Oracle. Forks LibreOffice (instantfundas.com)
- Oracle updates Linux for speed and reliability (v3.co.uk)
From the monthly newsletter- which I consider quite useful for keeping updated on application of R
Every month, we’ll bring you the latest news about Revolution’s products and events in this section. Follow us on Twitter at @RevolutionR for up-to-the-minute news and updates from Revolution Analytics!
Revolution R Enterprise 4.0 for Windows now available. Based on the latest R 2.11.1 and including the RevoScaleR package for big-data analysis in R, Revolution R Enterprise is now available for download for Windows 32-bit and 64-bit systems. Click here to subscribe, or available free to academia.
New! Integrate R with web applications, BI dashboards and more with web services. RevoDeployR is a new Web Services framework that integrates dynamic R-based computations into applications for business users. It will be available September 30 with Revolution R Enterprise Server on RHEL 5. Click here to learn more.
Free Webinar, September 22: In a joint webinar from Revolution Analytics and Jaspersoft, learn how to use RevoDeployR to integrate advanced analytics on-demand in applications, BI dashboards, and on the web. Register here.
Revolution in the News: SearchBusinessAnalytics.com previews the forthcoming Revolution R GUI; Channel Register introduces RevoDeployR, while IT Business Edge shows off the Web Services architecture; and ReadWriteWeb.com looks at how RevoScaleR tackles the Big Data explosion.
Inside-R: A new site for the R Community. At www.inside-R.org you’ll find the latest information about R from around the Web, searchable R documentation and packages, hints and tips about R, and more. You can even add a “Download R” badge to your own web-page to help spread the word about R.
R News, Tips and Tricks from the Revolutions blog
The Revolutions blog brings you daily news and tips about R, statistics and open source. Here are some highlights from Revolutions from the past month.
R’s key role in the oil spill response: Read how NIST’s Division Chief of Statistical Engineering used R to provide critical analysis in real time to the Secretaries of Energy and the Interior, and helped coordinate the government’s response.
Animating data with R and Google Earth: Learn how to use R to create animated visualizations of geographical data with Google Earth, such as this video showing how tuna migrations intersect with the location of the Gulf oil spill.
Are baseball games getting longer? Or is it just Red Sox games? Ryan Elmore uses nonparametric regression in R to find out.
Keynote presentations from useR! 2010: the worldwide R user’s conference was a great success, and there’s a wealth of useful tips and information in the presentations. Video of the keynote presentations are available too: check out in particular Frank Harrell’s talk Information Allergy, and Friedrich Leisch’s talk on reproducible statistical research.
Looking for more R tips and tricks? Check out the monthly round-ups at the Revolutions blog.
Every month, we’ll highlight some upcoming events from R Community Calendar.
September 23: The San Diego R User Group has a meetup on BioConductor and microarray data analysis.
September 28: The Sydney Users of R Forum has a meetup on building world-class predictive models in R (with dinner to follow).
September 28: The Los Angeles R User Group presents an introduction to statistical finance with R.
September 28: The Seattle R User Group meets to discuss, “What are you doing with R?”
September 29: The Raleigh-Durham-Chapel Hill R Users Group has its first meeting.
October 7: The NYC R User Group features a presentation by Prof. Andrew Gelman.
subscribe here for Revo’s Monthly newsletter-
Latest version of Rattle just went online-
Here is the change log- Dr Graham Williams is also coming out with a book on using Rattle- the R GUI devoted to data mining.
rattle (2.5.42) unstable; urgency=low * Update rattle.info() to recursively identify all dependencies, report their version number and any updates available from CRAN and generate command to update packages that have updates available. See ?rattle.info for the options. * Fix bug causing R Dataset option of the Evaluate window to always revert to the first named dataset. * Fix bug in transforms where weights were not being handled in refreshing of the Data tab. * Fix a bug in box plots when trying to label outliers when there aren't any. -- Graham Williams <Graham.Williams@togaware.com> Sun, 19 Sep 2010 05:01:51 +1000 rattle (2.5.41) unstable; urgency=low * Use GtkBuilder for Export dialog. * Test use of glade vs GtkBuilder on multiple platforms. * Rename rattle.info to rattle.version. * Add weight column to data tab. * Support weights for nnet, multinom, survival. * Add weights information to PMML as a PMML Extension. * Ensure GtkFrame is available as a data type whilst waiting for updated RGtk2. * Bug fix to packageIsAvailable not reruning any result. * Replace destroy with withdraw for plot window as the former has started crashing R. * Improve Log formatting for various model build commands. * Be sure to include the car package for Anova for multinom models. * Release pmml 1.2.24: Bug fix glm binomial regression - note as classification model. -- Graham Williams <Graham.Williams@togaware.com> Wed, 15 Sep 2010 14:56:09 +1000 And a video I did of exploring various Rattle options using Camtasia, a very useful software for screen capture and video tutorials from http://www.techsmith.com/download/camtasiatrial.asp Updated- my video skils being quite bad- I replaced it with another video. However Camtasia is the best screen capture video tool Also , an update Analyticdroid is on hold for now. see- for more details http://rattle.togaware.com/