1745 search results for "excel"

Trying to reduce the memory overhead when using mclapply

November 14, 2013
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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
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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 →

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Running Back-tests in parallel

November 11, 2013
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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,

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Merge Relational Dataframes

November 11, 2013
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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 →

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

November 10, 2013
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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...

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Hurricanes and Reproducible Research

November 8, 2013
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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

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The R Backpages

November 7, 2013
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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...

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Unsupervised data pre-processing: individual predictors

November 7, 2013
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Unsupervised data pre-processing: individual predictors

I just got the excellent book Applied Predictive Modeling, by Max Kuhn and Kjell Johnson . The book is designed for a broad audience and focus on the construction and application of predictive models. Besides going through the necessary theory in a not-so-technical way, the book provides R code at the end of each chapter.

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NYC R Programming Classes – starting this coming Sunday

November 5, 2013
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NYC R Programming Classes – starting this coming Sunday

Guest post by Vivian Zhang, original post. You can sign up for our Sunday Intensive beginner level R classes at NYC Data Science Academy meetup page or [email protected] more info. Brief: The course (which will meet five Sundays) will start from the basics, introducing the building blocks used for programming in R and building intuition for writing clean and robust code....

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Archival and analysis of #GI2013 Tweets

November 4, 2013
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Archival and analysis of #GI2013 Tweets

I archived and analyzed all Tweets containing #GI2013 from the recent Cold Spring Harbor Genome Informatics meeting, using my previously described code.Friday was the most Tweeted day. Perhaps this was due to Lior Pachter's excellent keynote, "Stories ...

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