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Coastal Econometrician ViewsThis blog discuss about the empirical aspects of business analytics and addresses the same through econometrics and open source tool viz. R.
http://costaleconomist.blogspot.com/
This blog discuss about the empirical aspects of business analytics and addresses the same through econometrics and open source tool viz. R.
http://costaleconomist.blogspot.com/
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Coastal Econometrician Views | costaleconomist.blogspot.com Reviews
https://costaleconomist.blogspot.com
This blog discuss about the empirical aspects of business analytics and addresses the same through econometrics and open source tool viz. R.
costaleconomist.blogspot.com
Coastal Econometrician Views: 2014/09
http://costaleconomist.blogspot.com/2014_09_01_archive.html
This blog discuss about the empirical aspects of business analytics and addresses the same through econometrics and open source tool viz. R. Sep 4, 2014. Big Data Analytical Services Environment (Success Struggles). Observations are author's personal views after observing big data space over a period of time, he can be reached at mavuluri.pradeep@gmail for further discussion on this topic. Subscribe to: Posts (Atom). View my complete profile. Big Data Insights - IT Support Log Analysis. Awesome Inc. ...
Coastal Econometrician Views: 2016/07
http://costaleconomist.blogspot.com/2016_07_01_archive.html
This blog discuss about the empirical aspects of business analytics and addresses the same through econometrics and open source tool viz. R. Jul 11, 2016. Big Data Insights: Tale of IT Investments and Returns. With respect to my earlier Big Data Insight post. I got many queries about data, hence, herein, I am publishing data used for plotting purposes, for quick play in R. As, just mentioned above, volumes were huge, and all initial volumes were processed in Apache Spark. Data employed for the plot:.
Coastal Econometrician Views: Read Big Text Files Column by Column
http://costaleconomist.blogspot.com/2012/04/read-big-text-files-column-by-column.html
This blog discuss about the empirical aspects of business analytics and addresses the same through econometrics and open source tool viz. R. Apr 27, 2012. Read Big Text Files Column by Column. Dear R Programmers,. There is new package "colbycol" on CRAN, which makes our jobs easier when we have large files i.e. more than a GB to be read in R. Especially, when we don't need all of the columns/variables for our analysis. Kudos for author, Carlos J. Gil Bellosta. Nrow(cbc.data.7.cols). This post brings fort...
Coastal Econometrician Views: Overview of my recently sold model
http://costaleconomist.blogspot.com/2015/08/overview-of-my-recently-sold-model_10.html
This blog discuss about the empirical aspects of business analytics and addresses the same through econometrics and open source tool viz. R. Aug 10, 2015. Overview of my recently sold model. Subscribe to: Post Comments (Atom). View my complete profile. Big Data Insights - IT Support Log Analysis. This post brings forth to the audience, few glimpses (strictly) of insights that were obtained from a case of how predictive analytics. Big Data Insights: Tale of IT Investments and Returns.
Coastal Econometrician Views: 2015/02
http://costaleconomist.blogspot.com/2015_02_01_archive.html
This blog discuss about the empirical aspects of business analytics and addresses the same through econometrics and open source tool viz. R. Feb 24, 2015. Imparting Data Sciences - Industry Practices - Part 1. Rightly define or appropriately refine the business problem e.g. economic reasoning between price and sales help in accurately determine the model or model tasks for analysis. Subscribe to: Posts (Atom). View my complete profile. Big Data Insights - IT Support Log Analysis. Easy way of determining ...
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Coffee and Econometrics in the Morning: Avoiding Loops in R: An Example with Principal Minors
http://novicemetrics.blogspot.com/2011/07/avoiding-loops-in-r-example-with.html
Want a Coffee and Econometrics Mug? Monday, July 18, 2011. Avoiding Loops in R: An Example with Principal Minors. Yesterday, I found myself wanting to compute a large subset of the second order principal minors of a matrix (diagonal-preserving minors; the ones for which the rows and columns kept are the same). Don't judge. Me for wanting to do this, and bear with me, there is a lesson about R programming here (mostly for me, read the comments for testing). And there's a lot of related theory. This is in R.
Coffee and Econometrics in the Morning: Recreational R: Simulating a Card Trick
http://novicemetrics.blogspot.com/2011/05/recreational-r-simulating-card-trick.html
Want a Coffee and Econometrics Mug? Monday, May 30, 2011. Recreational R: Simulating a Card Trick. In this post, I simulate an interesting card trick, which was described by a friend of mine named Xan. Here's Xan's description of the card trick. I put a deck of cards down face up on the table. Meanwhile you think of a secret number between 1 and 10 - for exposition let's say you pick 4. But I don't just stop on any card. I stop on your current special card. Which I'm not supposed to know. Here's the resu...
Coffee and Econometrics in the Morning: Want a Coffee and Econometrics Mug?
http://novicemetrics.blogspot.com/p/want-coffee-and-econometrics-mug.html
Want a Coffee and Econometrics Mug? Want a Coffee and Econometrics Mug? Coffee and Econometrics merchandise (not just coffee mugs) is now available. Check out my Cafe Press site. No cream, no sugar. I like my coffee with econometrics.". When coffee isn't enough, try econometrics". Coffee and Econometrics provides a good fit". Increase your power with Coffee and Econometrics". You want WHAT with your coffee? Econometrics. is that weird? Coffee and Econometrics are complements". Subscribe to: Posts (Atom).
Coffee and Econometrics in the Morning: February 2011
http://novicemetrics.blogspot.com/2011_02_01_archive.html
Want a Coffee and Econometrics Mug? Monday, February 28, 2011. Running a Regression in R. I created another video tutorial on R. This time, I discuss R's lm() command and how to use it for a variety of standard applications. Here is the code that goes with the video:. Posted by Tony Cookson. Links to this post. Friday, February 25, 2011. Tutorial on Distributions in R. Along the way, I also discuss how some of the properties of estimators are reflected in the computations I perform. Posted by Tony Cookson.
Coffee and Econometrics in the Morning: An Application of boot() to IV regression
http://novicemetrics.blogspot.com/2011/05/application-of-boot-to-iv-regression.html
Want a Coffee and Econometrics Mug? Saturday, May 28, 2011. An Application of boot() to IV regression. Bootstrapping standard errors can be a useful technique. When obtaining closed form for the standard error formula is difficult or intractable. In this post, I give an example of how to use R to create a bootstrap sampling distribution in the context of IV regression. Specifically, I use boot(). In my application, I present a function that uses the boot. Function builds on the iv(). On this small sample...
Coffee and Econometrics in the Morning: Splitting Vectors of Uneven Strings
http://novicemetrics.blogspot.com/2011/07/splitting-vectors-of-uneven-strings.html
Want a Coffee and Econometrics Mug? Friday, July 29, 2011. Splitting Vectors of Uneven Strings. Suppose you have a vector of names such that the first three words in the vector contain relevant information, but there is a bunch of extraneous stuff. For example,. Our goal is to collapse the first three words into one contiguous string (without the spaces) and we want to discard the extra words (because they're extraneous infromation). For a situation like this, my first thought is to use the strsplit().
Coffee and Econometrics in the Morning: March 2011
http://novicemetrics.blogspot.com/2011_03_01_archive.html
Want a Coffee and Econometrics Mug? Tuesday, March 29, 2011. How to Bootstrap in R: The Case of R-squared. I recorded a new video tutorial whose original intent was to demonstrate how to write a for loop. As I wanted to make the for loop count for something, I decided that my application would be to write some code that computes the bootstrap approximation to the sampling distribution. This is a common econometric application. Here is the video where I describe the code and the method. Links to this post.
Coffee and Econometrics in the Morning: Using apply() to create a unique id
http://novicemetrics.blogspot.com/2012/02/using-apply-to-create-unique-id.html
Want a Coffee and Econometrics Mug? Monday, February 6, 2012. Using apply() to create a unique id. Suppose you have a data set with two identifiers. For example, maybe you're studying the relationships among firms in an industry and you have a way to link the firms to one another. Each firm has an id, but the unique unit in your data set is a pairing of ids. Here's a stylized example of one such data set:. There's an apply command for that! Using sort(), so c("B", "A") becomes c("A", "B") , and then paste.
Coffee and Econometrics in the Morning: June 2011
http://novicemetrics.blogspot.com/2011_06_01_archive.html
Want a Coffee and Econometrics Mug? Monday, June 20, 2011. A new R user quickly discovers that there are multiple ways to store information into an object - the technical term for this is assignment. There's = as in:. X = c(1,2,3). And there's - as in:. X - c(1,2,3). R help on assignOps offers this explanation of the difference. Assign into the environment in which they are evaluated. The operator. Can be used anywhere, whereas the operator. If(codename = "thedoctor") watch = "yes". Will cause problems a...
Coffee and Econometrics in the Morning: Merging Multiple Data Files into One Data Frame
http://novicemetrics.blogspot.com/2011/04/merging-multiple-data-files-into-one.html
Want a Coffee and Econometrics Mug? Sunday, April 24, 2011. Merging Multiple Data Files into One Data Frame. We often encounter situations where we have data in multiple files, at different frequencies and on different subsets of observations, but we would like to match them to one another as completely and systematically as possible. In R, the merge() command is a great way to match two. Just read the two data frames into R. Mydata1 = read.csv(path1, header=T). Mydata2 = read.csv(path2, header=T). Reduc...
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And moves people to act. We are a bilingual print. Design studio with collaboration at the heart of everything we do. Whether a client is small or large, start-up or established our objective remains the same: to produce custom-tailored solutions that embrace design, technology and business through a lens that is focused on human interaction. Our clients benefit from the knowledge, ability and professionalism founded on our 25 years of experience. Downtown Legal Services (DLS). Branding, Print, Websites.
Coastal Econometrician Views
This blog discuss about the empirical aspects of business analytics and addresses the same through econometrics and open source tool viz. R. Jul 11, 2016. Big Data Insights: Tale of IT Investments and Returns. With respect to my earlier Big Data Insight post. I got many queries about data, hence, herein, I am publishing data used for plotting purposes, for quick play in R. As, just mentioned above, volumes were huge, and all initial volumes were processed in Apache Spark. Data employed for the plot:.
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