This is a delicious movie meant to be savored by everyone. It shows how a stood up traditional bride decides to go on her planned honeymoon trip alone. Above all, it shows brown and yellow and white people and black people can have lots of fun together once they shed their stereotypes. Watch it for the lovely colors and nice acting. Great songs and great humor, which you can relate to especially if you are Punjabi /North India.
Go watch and dance with the Queen
There is a dedicated CRAN task view on the various options within the R ecosystem for Clinical Trails
CRAN Task View: Clinical Trial Design, Monitoring, and Analysis http://cran.r-project.org/web/views/ClinicalTrials.html This task view gathers information on specific R packages for design, monitoring and analysis of data from clinical trials. It focuses on including packages for clinical trial design and monitoring in general plus data analysis packages for a specific type of design. Also, it gives a brief introduction to important packages for analyzing clinical trial data . It has the following sub headings.
and an additional one on PharmaKinetic Data
CRAN Task View: Analysis of Pharmacokinetic Data http://cran.r-project.org/web/views/Pharmacokinetics.html The primary goal of pharmacokinetic (PK) data analysis is to determine the relationship between the dosing regimen and the body’s exposure to the drug as measured by the nonlinear concentration time curve or related summaries (e.g. the area under the curve). Base R contains nls which can be used to calculate nonlinear least-squares estimates of the parameters from a PK model. It returns an object of the class "nls" having methods coef(),formula(), resid(), print(), summary(), AIC(), fitted() and vcov(). Four packages are available in CRAN that directly aid in PK data analysis, including; the packages PK, PKfit, nlmeODE which incorporates nlme and deSolve, and the package PKtools. While PK provides basic pharmacokinetics functions which implement non-compartmental analysis methods, the latter three packages focus on modeling methods.
A relatively new [package] is Greport
http://biostat.mc.vanderbilt.edu/wiki/Main/Greport The greport package contains many functions useful for monitoring and reporting the results of clinical trials and other experiments in which treatments are compared. LaTeX is used to typeset the resulting reports, recommended to be in the context of knitr. The Hmisc and lattice packages are used by greport for high-level graphics.
(NOTE- I wish there was some way to group packages and functions along business domains like finance, telecom, pharma, retail , entertainment) the current system of CRAN views is purely a clustering of packages of similar techniques but not business domains)
Nice tool here courtesy Microsoft
What is Erdos Number
The Erdős number (Hungarian pronunciation: [ˈɛrdøːʃ]) describes the “collaborative distance” between a person and mathematician Paul Erdős, as measured by authorship of mathematical papers.
The same principle has been proposed for other eminent people in other fields.
http://academic.research.microsoft.com/VisualExplorer#486937&1112639
Here are two of them-
you can see how prolific Hadley and Ripley are
http://academic.research.microsoft.com/Author/2867732/hadley-wickham
A very basic example of why R Documentation is “expert friendly” while SAS language documentation is “user friendly”
From- a Quora thread 
The New Delhi R User Group has now 218 members. We have been meeting regularly since Ocr 2012, and last year we even took Revolution’s generous offer of basic sponsorship with an application this year for a higher level sponsorship.
Meetups are something are new here. We are looking to expand the analytics open source ecosystem here in India- and we welcome any analytics company near NCR area willing to donate office space in Gurgaon , Noida, Delhi once a month to host us.
It is great to see the energy of the next analytics generation and I feel honored to be surrounded by so many bright and young engineers.
related- http://www.revolutionanalytics.com/r-user-group-sponsorship-program
I was reading a review copy of this fine book ” R for Quantitative Finance” when I came across a GUI for Finance in R – its called the GUIDE package and it’s absolutely is a must for people wanting to try out R based Quant Finance for a risk free trial 😉
I think it can be used to further spread R in the area of teaching finance courses.
See it yourself-
an email I get from a student when i am teaching R
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Hello Ajay,
DECISION STATS 