1632 search results for "excel"

Bayesian linear regression analysis without tears (R)

November 17, 2013
By
Bayesian linear regression analysis without tears (R)

Bayesian methods are sure to get some publicity after Vale Johnson’s PNAS paper regarding the use of Bayesian approaches to recalibrate p-value cutoffs from 0.05 to 0.005. Though the paper itself is bound to get some heat (see the discussion in Andrew Gelman’s blog and Matt Briggs’s fun-to-read deconstruction), the controversy might stimulate people to explore

Read more »

Dutch Rainwater Composition 1992-2005.

November 17, 2013
By
Dutch Rainwater Composition 1992-2005.

After reading Blog About Stats' Open Data Index Blog Post I decided to browse a bit in the Open Data Index. Choosing Netherlands and following Emission of Pollutants I ended on a page from National Institute for Public Health. The page&n...

Read more »

What Data Science can learn from small-data Statistics

November 15, 2013
By

Last month I joined Gregory Piatetsky (KDnuggets editor) for a webinar presentation Data Science: Not Just for Big Data, hosted by Kalido. In my portion of the prentation (you can see my slides below), I wanted to react to the Big Data focus which is so much a part of the Data Science movement today, to focus on the...

Read more »

Trying to reduce the memory overhead when using mclapply

November 14, 2013
By
Trying to reduce the memory overhead when using mclapply

I am currently trying to understand how to reduce the memory used by mclapply. This function is rather complicated and others have explained the differences versus parLapply (A_Skelton73, 2013; Read more »

Beads Summary Plot of Ranges for R

November 12, 2013
By
Beads Summary Plot of Ranges for R

The beadsplot function is designed for a data frame with a factor column and many observation columns.  This function summarize the data visually.  The builtin iris data is suitable to … Continue reading →

Read more »

Running Back-tests in parallel

November 11, 2013
By
Running Back-tests in parallel

Once you start experimenting with many different asset allocation algorithms, the computation time of running the back-tests can be substantial. One simple way to solve the computation time problem is to run the back-tests in parallel. I.e. if the asset allocation algorithm does not use the prior period holdings to make decision about current allocation,

Read more »

Merge Relational Dataframes

November 11, 2013
By
Merge Relational Dataframes

A Question Recently, a student, working on her Senior Thesis at Northland College, asked me the following question: Attached is an Excel file with three “important to R” worksheets. The only thing that connects all 3 worksheets is the Lift.ID … Continue reading →

Read more »

What’s in my Pocket? (Part II) – Analysis of Pocket App Article Tagging

November 10, 2013
By
What’s in my Pocket? (Part II) – Analysis of Pocket App Article Tagging

IntroductionYou know what's still awesome? Pocket.As I noted in an earlier post (oh god, was that really more than a year ago?!) I started using the Pocket application, previously known as Read It Later, in July of 2011 and it has changed my readi...

Read more »

Hurricanes and Reproducible Research

November 8, 2013
By
Hurricanes and Reproducible Research

On vacation with my family this week and that means I have a few minutes now and again to read. One of the books I brought along is Christopher Gandrud’s excellent “Reproducible Research with R and RStudio”. Looking for some data as a test project, I latched onto Hurricane data. Folly Beach was hit pretty

Read more »

The R Backpages

November 7, 2013
By
The R Backpages

by Joseph Rickert As an avid newspaper reader (I still get the print edition of the New York Times delivered every Sunday morning) I have always thought that some of the most interesting news is to be found in the back pages. So, in that spirit here are some things that I thought might be fit to print. Plotly...

Read more »

Sponsors

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)