Stuff I like to Read to Kush: Kush's Blog

RSS
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I am putting together a list of top 500 Blogs on –

 

Some additional points-

  • I like YCombinator‘s Hacker News– so the auto parsed links are like that on main page. They lead to original websites.
  • Comments are disabled, feed is jumbled, only 40 word excerpts are shown.
  • Intent is also to show open source blogs and enterprise blogs at same time (regardless of advertising by vendors 😉 )
  • If your blog feed is there, I will keep it there – either dont write or dont use RSS if you dont want to share
  • If your blog feed is not there, it is probably not there for a reason.
  • No ads will be shown NOW or FOREVER on that site.

And after all that noise- you can see Kush’s Blog –http://www.kushohri.com/

Stuff I like to Read to Kush: Kush’s Blog

RSS
Image via Wikipedia

I am putting together a list of top 500 Blogs on –

 

Some additional points-

  • I like YCombinator‘s Hacker News– so the auto parsed links are like that on main page. They lead to original websites.
  • Comments are disabled, feed is jumbled, only 40 word excerpts are shown.
  • Intent is also to show open source blogs and enterprise blogs at same time (regardless of advertising by vendors 😉 )
  • If your blog feed is there, I will keep it there – either dont write or dont use RSS if you dont want to share
  • If your blog feed is not there, it is probably not there for a reason.
  • No ads will be shown NOW or FOREVER on that site.

And after all that noise- you can see Kush’s Blog –http://www.kushohri.com/

Using Reshape2 for transposing datasets in R

Note Problem Statement-This is quite similar to using Proc Transpose using values in SAS. see http://analytics.ncsu.edu/sesug/2005/TU12_05.PDF
Diagram using geneplotter from R Graph Gallery
In R however this can be done as follow.
convert dataframe
Subject     Item      Score
1 Subject 1     Item 1     1
2 Subject 1     Item 2     0
3 Subject 1     Item 3     1
4 Subject 2     Item 1     1
5 Subject 2     Item 2     1
6 Subject 2      Item 3     0
to
Subject     Item 1 Item 2 Item 3 Item 4
1 Subject 1      1              0               1                 1
5 Subject 2      1              1                0                0
Note- I am using http://www.inside-r.org/pretty-r/tool for auto-generating the color coded R Code.
library("reshape2")
tDat.m<- melt(tDat)tDatCast<- acast(tDat.m,Subject~Item)
and that's it!
Another way (this one is  not recommended as it seems to take longer
 and more memory)
df.wide <- reshape(df, idvar="Subject", timevar="Item", direction="wide")

For R Writers- Inside R

A composite of the GNU logo and the OSI logo, ...
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Hurray I am on Inside -R

http://www.inside-r.org/blogs/2010/11/04/r-apache-next-frontier-r-computing

Thats blog post number 1 there.

Basically Inside R is a go-to site for tips, tricks, packages, as well as blog posts. It thus enhances R Bloggers – but also adds in other multiple features as well.

It is an excellent place for R beginners and learning R. Also it is moderated ( so you wont get the flashy jhing bhang stuff- just your R.

What I really liked is the Pretty R functionality for turning R code -its nifty for color coding R code for use of posting in your blog, journal or article

and when you are there drop them a line for their excellent R support for events (like Pizza, sponsorship) and nifty R packages (doSNOW, foreach, RevoScaler, RevoDeployR) and how much open core makes them look silly?

Come on Revolution- share the open code for RevoScaler package- did you notice any sales dip when you open sourced the other packages? (cue to David Smith to roll his eyes again)

Anyway- all that is part of the R family fun 🙂

Do check http://www.inside-r.org/pretty-r

 

Hey Americano- outsource your job here

Mystiq (Raphael-Raven Darkholme). Art by Tom G...
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Yup Yankee Doodle. Welcome to India. Ancient Land of Mystique. Modern Land of taking your job.

Let me give you how many jobs we created in India from you.

“Generation of employment

The rapid growth in IT-BPO industry has created large number of jobs for the expanding employablepopulation. The employment provided by the industry increased more than 8 times over FY2000-2009and reached 2.2 million in FY2009.”

Thats stratight from the horses mouth  from http://www.nasscom.in/upload/68924/Impact_Study_2010_Exec_Summary.pdf

2.2 million jobs. Assume 50% of jobs catered to US. Thats 1.1 Million . Assume lower productivity by Indians of 10%.

That’s a million jobs, Americano. Thanks for nothing.

Thats 1 million people who went from taking a paycheck and spending it (on Chinese manufactured good) to 1 million welfare checks.

Comprende?

Now I wish we could drink more Coke, buy more Levis, or even more Fighter Aircraft using our 250 $ billion reserves, but we follow China the leader.

See

http://www.stats.gov.cn/english/newsandcomingevents/t20101021_402677638.htm

6. Foreign trade grew rapidly and trade surplus was reduced to some extent. The total value of imports and exports for the first three quarters of this year was US$ 2,148.7 billion, up by 37.9 percent year-on-year. The value of exports was US$ 1,134.6 billion, up by 34.0 percent, and the value of imports was US$ 1,014.0 billion, up by 42.4 percent. The trade surplus was US$ 120.6 billion, a decline of US$ 14.9 billion over the same period last year.”

Thats a lot of money employing a lot of Chinese, maybe even more than the 1 million American jobs that went to India.

From http://www.epi.org/publications/entry/bp260/

The computers, electronic equipment, and parts industries experienced the largest growth in trade deficits with China, leading with 627,700 (26%) of all jobs displaced between 2001 and 2008. As a result, the hardest hit Congressional districts were located in California and Texas, where remaining jobs in those industries are concentrated, and in North Carolina, which was hard hit by job displacement in a variety of manufacturing industries

NOTE- Thats also a very sensitive area in terms of security cyber et all

Anyways, thats all now. Thanks for the jobs Yankee boys

(written by an Indian who dislikes job losses anywhere)

 

Google Maps – Jet Ski across Pacific Ocean

Don’t belive it huh

Go to http://goo.gl/maps/UISY

Instruction 43: (From Japan to China) is Jet Ski for 782 km

Very funny- and maybe an easter egg