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Statistics for Big Data
Doctoral programme in cloud computing for big data I’ve spent much of this year working to establish our new EPSRC Centre for Doctoral Training in Cloud Computing for Big Data, which partly explains...
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Statistical computing languages at the RSS
On Friday the Royal Statistical Society hosted a meeting on Statistical computing languages, organised by my colleague Colin Gillespie. Four languages were presented at the meeting: Python, Scala,...
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One-way ANOVA with fixed and random effects from a Bayesian perspective
This blog post is derived from a computer practical session that I ran as part of my new course on Statistics for Big Data, previously discussed. This course covered a lot of material very quickly. In...
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Calling Scala code from R using jvmr
Introduction In previous posts I have explained why I think that Scala is a good language to use for statistical computing and data science. Despite this, R is very convenient for simple exploratory...
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Inlining Scala Breeze code in R using jvmr and sbt
Introduction In the previous post I showed how to call Scala code from R using sbt and jvmr. The approach described in that post is the one I would recommend for any non-trivial piece of Scala code –...
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Calling R from Scala sbt projects
Overview In previous posts I’ve shown how the jvmr CRAN R package can be used to call Scala sbt projects from R and inline Scala Breeze code in R. In this post I will show how to call to R from a Scala...
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Scala for Machine Learning [book review]
Nicolas, Patrick R. (2014) Scala for Machine Learning, Packt Publishing: Birmingham, UK. Full disclosure: I received a free electronic version of this book from the publisher for the purposes of...
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Index to first 50 posts
This is the 50th post to this blog. For my 25th post I provided a catalogue of my first 25 posts, and as promised then, I now provide a similar index for posts 25 to 50. 25. Catalogue of my first 25...
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Calling Scala code from R using rscala
Introduction In a previous post I looked at how to call Scala code from R using a CRAN package called jvmr. This package now seems to have been replaced by a new package called rscala. Like the old...
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Calling R from Scala sbt projects using rscala
Overview In the previous post I showed how the rscala package (which has replaced the jvmr package) can be used to call Scala code from within R. In this post I will show how to call R from Scala code....
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Data frames and tables in Scala
Introduction To statisticians and data scientists used to working in R, the concept of a data frame is one of the most natural and basic starting points for statistical computing and data analysis. It...
View ArticleClik here to view.
One-way ANOVA with fixed and random effects from a Bayesian perspective
This blog post is derived from a computer practical session that I ran as part of my new course on Statistics for Big Data, previously discussed. This course covered a lot of material very quickly. In...
View ArticleClik here to view.
Calling Scala code from R using jvmr
[Update: the jvmr package has been replaced by a new package called rscala. I have a new post which explains it.] Introduction In previous posts I have explained why I think that Scala is a good...
View ArticleClik here to view.
Inlining Scala Breeze code in R using jvmr and sbt
[Update: The CRAN package “jvmr” has been replaced by a new package “rscala”. Rather than completely re-write this post, I’ve just created a github gist containing a new function, breezeInterpreter(),...
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Calling R from Scala sbt projects
[Update: The jvmr package has been replaced by the rscala package. There is a new version of this post which replaces this one.] Overview In previous posts I’ve shown how the jvmr CRAN R package can be...
View ArticleClik here to view.
Scala for Machine Learning [book review]
Nicolas, Patrick R. (2014) Scala for Machine Learning, Packt Publishing: Birmingham, UK. Full disclosure: I received a free electronic version of this book from the publisher for the purposes of...
View ArticleClik here to view.
Index to first 50 posts
This is the 50th post to this blog. For my 25th post I provided a catalogue of my first 25 posts, and as promised then, I now provide a similar index for posts 25 to 50. 25. Catalogue of my first 25...
View ArticleClik here to view.
Calling Scala code from R using rscala
Introduction In a previous post I looked at how to call Scala code from R using a CRAN package called jvmr. This package now seems to have been replaced by a new package called rscala. Like the old...
View ArticleClik here to view.
Calling R from Scala sbt projects using rscala
Overview In the previous post I showed how the rscala package (which has replaced the jvmr package) can be used to call Scala code from within R. In this post I will show how to call R from Scala code....
View ArticleClik here to view.
Data frames and tables in Scala
Introduction To statisticians and data scientists used to working in R, the concept of a data frame is one of the most natural and basic starting points for statistical computing and data analysis. It...
View Article