I like to take photos for run.  However, I have never really got into very serious photography, but it is always fun to play with some powerful small camera.  I have acquired a few digital cameras since late 90’s. Although none of them are in the domain of DSLR, I always try to find some slightly more powerful P&S camera so I can play some tricks when I get a chance.   I have a Canon G9 which is quite capable, but I keep seeking an even smaller camera so I can actually not hesitate to bring it with me all the time.  Canon S90 seems fit this purpose quite well.  Small, easy to carry around while it still gives necessary control for fun.

The traffic was usually light in my commuting routes this morning so I did get some time for a short excursion before getting into my office at work.  After passing San Mateo bridge, I tried to take some quick landscape photos for fun.  What I always wanted to do was trying out taking some HDR photos and the short excursion was a great opportunity for me to try it out.  The following few photos I put in Flickr are the results from my quick HDR experiment.  Not too bad, although I need to some post-processing.  The color might not look so natural, but anything in modern digital photograph is done with some sort of processing anyway.  The most important thing is probably to have fun to take and develop the pictures anyway.   And, I feel good to have a chance to stop by and observe beautiful thing that has been ignored most of time in my commute route.

I get this from a Linkedin R user forum.  I think it will helps people outside that group so I ask permission to post the list here.  The original list from http://in.linkedin.com/in/harshsinghal

http://had.co.nz/plyr/plyr-intro-090510.pdf for data manipulation

http://www.stats.ox.ac.uk/~ruth/RCourse/Rcourse3.pdf

http://cran.r-project.org/doc/contrib/usingR.pdf for R basics

http://www.ats.ucla.edu/stat/r/dae/default.htm with annotated outputs in R

http://cran.r-project.org/doc/contrib/Rossiter-RIntro-ITC.pdf tutorial with info on plots

http://www.statmethods.net/stats/regression.html

http://www.rmetrics.org/ provides an Open Source framework for Financial Analysis.

http://www.econ.uiuc.edu/~econ472/e-Tutorial.html has lecture notes with R code

A brief guide to R and Economics http://people.su.se/~ma/R_intro/R_intro.pdf

http://www.stat.pitt.edu/stoffer/tsa2/index.html has a good beginner’s tutorial for Time Series

http://www.quantmod.com/ provides a great analysis and visualization framework for quantitative trading

http://www.wise.xmu.edu.cn/2007summerworkshop/download/Advanced%20Topics%20in%20Time%20Series%20Econometrics%20Using%20R1_ZongwuCAI.pdf advanced time series in R

Interesting time series packages in R http://robjhyndman.com/software

A Data Mining tool in R http://rattle.togaware.com/

An online e-book for Data Mining with R http://www.liaad.up.pt/~ltorgo/DataMiningWithR/

Advanced Statistics using R http://www.statmethods.net/advstats/index.html

Guide to Credit Scoring using R http://cran.r-project.org/doc/contrib/Sharma-CreditScoring.pdf

http://addictedtor.free.fr/graphiques/ is a graph gallery of R plots and charts with supporting code

A tutorial for Lattice http://osiris.sunderland.ac.uk/~cs0her/Statistics/UsingLatticeGraphicsInR.htm

Ggplot R graphics http://had.co.nz/ggplot2/

Ggplot Vs Lattice @ http://had.co.nz/ggplot/vs-lattice.html

Multiple tutorials for using ggplot2 and Lattice http://learnr.wordpress.com/tag/ggplot2/

Introduction to the Text Mining package in R http://cran.r-project.org/web/packages/tm/vignettes/tm.pdf

Social Network Analysis http://www.r-project.org/conferences/useR-2008/slides/Bojanowski.pdf

Web Scraping in R http://www.programmingr.com/content/webscraping-using-readlines-and-rcurl

http://learnr.wordpress.com/2009/10/06/export-data-frames-to-multi-worksheet-excel-file/ to embed R data frames in Excel via multiple approaches.

http://www.statconn.com/ provides a tool to make R usable from Excel

Connect to MySQL from R http://erikvold.com/blog/index.cfm/2008/8/20/how-to-connect-to-mysql-with-r-in-wndows-using-rmysql

http://www.statmethods.net/input/importingdata.html provides info about pulling data from SAS, STATA, SPSS, etc.

Thematic Maps with R http://stackoverflow.com/questions/1260965/developing-geographic-thematic-maps-with-r

http://smartdatacollective.com/Home/22052 for geographic maps in R

Google Charts with R http://www.iq.harvard.edu/blog/sss/archives/2008/04/google_charts_f_1.shtml

Intro to using RGoogleMaps @ http://cran.r-project.org/web/packages/RgoogleMaps/vignettes/RgoogleMaps-intro.pdf

http://www.stat.uni-muenchen.de/~leisch/Sweave/

R2HTML http://www.feferraz.net/en/P/R2HTML

Poor Man GUI for R http://wiener.math.csi.cuny.edu/pmg/

R Commander is a robust GUI for R http://socserv.mcmaster.ca/jfox/Misc/Rcmdr/installation-notes.html

JGR is a Java-based GUI for R http://jgr.markushelbig.org/Screenshots.html

Tinn-R makes for a good R editor http://www.sciviews.org/Tinn-R/

An Eclipse plugin for R @ http://www.walware.de/goto/statet

Instructions to install StatET in Eclipse http://www.splusbook.com/Rintro/R_Eclipse_StatET.pdf

Komodo Edit R editor http://www.sciviews.org/SciViews-K/index.html

http://www.omegahat.org/ has a very interesting list of packages that is seriously worth a look

Commercial versions of R @ http://www.revolution-computing.com/

A very informative blog http://blog.revolution-computing.com/

Red R for R tasks http://code.google.com/p/r-orange/

KNIME for R http://www.knime.org/introduction/screenshots and is worth a serious look.