Blog Archives

Feature selection: All-relevant selection with the Boruta package

November 15, 2010
By
Feature selection: All-relevant selection with the Boruta package

Feature selection is an important step for practical commercial data mining which is often characterised by data sets with far too many variables for model building. There are two main approaches to selecting the features (variables) we will use for the analysis:...

Read more »

Feature selection: All-relevant selection with the Boruta package

November 15, 2010
By
Feature selection: All-relevant selection with the Boruta package

Feature selection is an important step for practical commercial data mining which is often characterised by data sets with far too many variables for model building. There are two main approaches to selecting the features (variables) we will use for the analysis:...

Read more »

Feature selection: All-relevant selection with the Boruta package

November 15, 2010
By
Feature selection: All-relevant selection with the Boruta package

Feature selection is an important step for practical commercial data mining which is often characterised by data sets with far too many variables for model building. There are two main approaches to selecting the features (variables) we will use for the analysis: the minimal-optimal feature selection which identifies a small (ideally minimal) set of variables that gives the best...

Read more »

Big data for R

August 5, 2010
By
Big data for R

Revolutions Analytics recently announced their "big data" solution for R. This is great news and a lovely piece of work by the team at Revolutions. However, if you want to replicate their analysis in standard R, then you can absolutely do so and we show you how.

Read more »

Big data for R

August 5, 2010
By
Big data for R

Revolutions Analytics recently announced their "big data" solution for R. This is great news and a lovely piece of work by the team at Revolutions. However, if you want to replicate their analysis in standard R, then you can absolutely do so and we show you how.

Read more »

Big data for R

August 5, 2010
By
Big data for R

Revolutions Analytics recently announced their “big data” solution for R. This is great news and a lovely piece of work by the team at Revolutions.

Read more »

Area Plots with Intensity Coloring

July 13, 2010
By
Area Plots with Intensity Coloring

I am not sure apeescape’s ggplot2 area plot with intensity colouring is really the best way of presenting the information, but it had me intrigued enough to replicate it using base R graphics. The key technique is to draw a gradient...

Read more »

Area Plots with Intensity Coloring

July 13, 2010
By
Area Plots with Intensity Coloring

I am not sure apeescape’s ggplot2 area plot with intensity colouring is really the best way of presenting the information, but it had me intrigued enough to replicate it using base R graphics. The key technique is to draw a gradient...

Read more »

Employee productivity as function of number of workers revisited

June 22, 2010
By
Employee productivity as function of number of workers revisited

We have a mild obsession with employee productivity and how that declines as companies get bigger. We have previously found that when you treble the number of workers, you halve their individual productivity which is mildly scary. We revisit the analysis for the...

Read more »

Employee productivity as function of number of workers revisited

June 22, 2010
By
Employee productivity as function of number of workers revisited

We have a mild obsession with employee productivity and how that declines as companies get bigger. We have previously found that when you treble the number of workers, you halve their individual productivity which is mildly scary. We revisit the analysis for the...

Read more »

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