Category: Analytics

We had a nice , small and slightly quirky Meetup this weekend in New Delhi. Apart from the weekend traffic that ensured almost everyone was late, and a cieling that started dripping with water – we were in Cafe Coffee Day,CP it was enjoyable meeting with the mix of people present including students, people moving away from SAS, IT people who are R curious- who mostly form the backbone of R Meetups here in New Delhi

I presented on

1) R basics including R Commander

2) Hadoop basics including Hortworks Sandbox

3) Tableau Public basics for visualization

4) Slides from my talk last week of Cloud Computing

Overall with 239 Users, this is growing to be a critical and large piece in the traditionally outsourcing hub of NCR, India. With thousands of SAS license users and programmers in Gurgaon and Noida, we hope we can make a difference in promoting open source awareness.

This error basically means that the SYSTEM user is not able to execute the file (a .msi installer) in that folder.

Right Click and Change the Security Settings to add SYSTEM

Step 0

Right Click to go to Folder Properties 

 

 

 

Step 1 Navigate to Security 

 

 

 

Step 2 Add System

 

Got a message from Packt Publishing-

—

Packt Publishing have launched an exciting campaign to coincide with the release of 2000th title. During this offer they are giving all our customers a chance to enjoy our books by giving them a free e-book copy for every purchase – “Buy One, Get One Free”

The campaign began on 18th-Mar-2014 and will continue up until 26th-Mar-2014. Following are the benefits readers can avail during this campaign.

•     Unlimited purchases during the offer period
•     Offer is automatically applied at checkout

Interested in free e books , here you go- http://bit.ly/1j26nPN

—

Packt Publishing seems an interesting phenomenon in the traditionally slow to change world of book publishing!

FOR ONLY TILL THIS WEEKEND, THIS COURSE IS 60%%%% OFF!! EXPIRES SUNDAY MAR 16. USE COUPON CODE “PROMO-5”.

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90 videos and 140+ exercise questions, over 10 chapters

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.

 

1. Design and Monitoring
2. Design and Analysis
3. Analysis for Specific Designs
4. Analysis in General
5. Meta-Analysis

 

 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)