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Probably the most useful R function I’ve ever written

August 15, 2016
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The function in question is scriptSearch. I’m not much for superlatives — “most” and “best” imply one dimension, but we live in a multi-dimensional world. I’m making an exception. The statistic I have in mind for this use of “useful” is the waiting time between calls to the function divided by the human time saved The post Probably the...

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Probably the most useful R function I’ve ever written

August 15, 2016
By

The function in question is scriptSearch. I’m not much for superlatives — “most” and “best” imply one dimension, but we live in a multi-dimensional world. I’m making an exception. The statistic I have in mind for this use of “useful” is the waiting time between calls to the function divided by the human time saved The post Probably the...

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Source for the marketAgent R package

May 21, 2016
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I recently gave a talk at the R in Finance conference in which I introduced the marketAgent package for R. Here is the source for the package if you’d like to play with it: marketAgent_0.000.tar I’ll be giving more details of the talk real soon now.   Update:  The Portfolio Probe website now has a The post Source for...

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Source for the marketAgent R package

May 21, 2016
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I recently gave a talk at the R in Finance conference in which I introduced the marketAgent package for R. Here is the source for the package if you’d like to play with it: marketAgent_0.000.tar I’ll be giving more details of the talk real soon now. The post Source for the marketAgent R package appeared first on Burns Statistics.

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Review of ‘Advanced R’ by Hadley Wickham

May 24, 2015
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Review of ‘Advanced R’ by Hadley Wickham

Executive summary Surprisingly good. And it’s not like my expectations were especially low. Structure There are 20 chapters.  I mostly like the chapters and their order. Hadley breaks the 20 chapters into 4 parts.  He’s wrong.  Figure 1 illustrates the correct way to formulate parts. Figure 1: Chapters and Parts of Advanced R.    Introductory R There The post Review of...

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The wings of a programmer

April 12, 2015
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The wings of a programmer

Programmers think programming is really hard.  Non-programmers think it’s even harder than that. Figure 1: The perceived difficulty of programming.  Why is programming so arduous? There are a few reasons.  Here is one. Wings Programming is exacting, programming needs creativity. These are absolutely at odds with each other. One wing wants the programmer to respect every The post The wings...

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An experience of EARL

January 2, 2015
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An experience of EARL

Coordinates: 2014 September 15-17 in the London borough of #rstats. 15th, evening I had just the right number of R bugs so that I could walk to the drinks and arrive fashionably late.  On the way, I realized that I hadn’t been near the Tower of London since the first year I moved to London even The post An experience...

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21 R navigation tools

August 17, 2014
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21 R navigation tools

Navigation gets you from where you are to where you want to be. Speaking of navigation, you can jump to selected sections of this post: Navigation; R-bloggers; Task views; Rdocumentation.org; sos package; ??; apropos; ls; methods; getAnywhere; :::; find; args; grep; %in%; str; getwd; file.choose; Spyglass summary; browser; See also. Overview Figure 1: A map The post 21 R...

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The TaoTeProgramming R package

June 29, 2014
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The TaoTeProgramming R package

I’d like to do a song of great social and political import. The code that created the illustrations in Tao Te Programming is now available as the TaoTeProgramming package on CRAN. The sea is just flat hills And they are both just smooth mountains. The package contains just over 1000 lines of code.  More than The post The TaoTeProgramming...

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An xts R Inferno-ism

February 7, 2014
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Another of the all ye entering here. Issue When subscripting an xts object, columns that don’t exist in the object are silently ignored. Example First, create an xts object: xtx xtx a b c 2014-02-07 1 11 21 2014-02-08 2 12 22 2014-02-09 3 The post An xts R Inferno-ism appeared first on Burns Statistics.

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