Monthly Archives: January 2013

Tracking down errors in R

January 29, 2013
By

It's that moment we all know and love, somewhere in our code something has gone wrong. We think we have done everything right, but instead of expected glory we find only terse red text lain below our lintel. This can be very frustrating, and trouble shooting these issues can often be very time consuming. All is not lost. There are a...

Read more »

Another Benchmark for Joining Two Data Frames

January 29, 2013
By
Another Benchmark for Joining Two Data Frames

In my post yesterday comparing efficiency in joining two data frames, I overlooked the computing cost used to convert data.frames to data.tables / ff data objects. Today, I did the test again with the consideration of library loading and data conversion. After the replication of 10 times in rbenchmark package, the joining method with data.table

Read more »

Hilary: the most poisoned baby name in US history

January 29, 2013
By
Hilary: the most poisoned baby name in US history

I’ve always had a special fondness for my name, which — according to Ryan Gosling in “Lars and the Real Girl” — is a scientific fact for most people (Ryan Gosling constitutes scientific proof in my book). Plus, the root … Continue reading →

Read more »

Strata’s Data Driven Business Day

January 29, 2013
By

The tagline for O'Reilly Strata conference series — Making Data Work — has meant that it's always been popular with practitioners, primarily data scientists working with Big Data in real-world environments. Recent Strata events have also attracted more business-oriented attendees, with events focused more on processes and outcomes than on the implementation details. On Tuesday February 26, Strata Santa...

Read more »

Disruptive Data Science – Transforming Your Company into a Data Science-Driven Enterprise

January 29, 2013
By
Disruptive Data Science – Transforming Your Company into a Data Science-Driven Enterprise

Big Data is the latest technology wave impacting C-Level executives across all areas of business, but amid the hype, there remains confusion about what it all means. The name emphasizes the exponential growth of data volumes worldwide (collectively, 5 Exabytes/ day in the latest estimate I saw from IDC), but more nuanced definitions of Big Data incorporate the following...

Read more »

Public and Public plus Private debt to GDP

January 29, 2013
By
Public and Public plus Private debt to GDP

Update 2: Put up a second graph showing debt of Spain.Update: I just read the most recent article of Stiglitz. I mostly agree. However, I'm not quite sure what he means when he says thatSpain and Ireland had fiscal surpluses and low debt/GDP ratios bef...

Read more »

Follow the ants to richness

January 29, 2013
By
Follow the ants to richness

A friend of mine told me the secret of making money at the stock market. "It's easy", he said.All I would have to do is to buy a big jar of ants. Then I should observe the ants movement on my kitchen table, while following the stock market. I shall keep the ants which walk in line with...

Read more »

Method of Simulated Moments with R

January 29, 2013
By

Second update on my research, details here.

Read more »

Efficiency in Joining Two Data Frames

January 28, 2013
By
Efficiency in Joining Two Data Frames

In R, there are multiple ways to merge 2 data frames. However, there could be a huge disparity in terms of efficiency. Therefore, it is worthwhile to test the performance among different methods and choose the correct approach in the real-world work. For smaller data frames with 1,000 rows, all six methods shown below seem

Read more »

Chances of making an NFL field goal

January 28, 2013
By
Chances of making an NFL field goal

If the scores are tied in this weekend's Super Bowl and the game rests on the outcome of a field goal attempt, the chart below will tell you the chances of the goal being made. All you need to know is the distance of the kick: What this says that if the kick is longer than 50 yards, there's...

Read more »

Sponsors

Mango solutions



plotly webpage

dominolab webpage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

datasociety

http://www.eoda.de





ODSC

ODSC

CRC R books series





Six Sigma Online Training









Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)