[Update: The jvmr package has been replaced by the rscala package.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 used to call Scala sbt projects from R and inline Scala Breeze code in R. In this post … Continue reading 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[Update: The jvmr package has been replaced by the rscala package.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 used to call Scala sbt projects from R and inline Scala Breeze code in R. In this post … Continue reading Calling R from Scala sbt projects
[Update: The CRAN package “jvmr” has been replaced by a new package “rscala”.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(), which works similarly to the function breezeInit() in this post. Usage information is given at the top of the gist.] Introduction In the previous post … Continue reading 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[Update: The CRAN package “jvmr” has been replaced by a new package “rscala”.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(), which works similarly to the function breezeInit() in this post. Usage information is given at the top of the gist.] Introduction In the previous post … Continue reading Inlining Scala Breeze code in R using jvmr and sbt
[Update: the jvmr package has been replaced by a new package called rscala.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 language to use for statistical computing and data science. Despite this, R is very convenient for simple exploratory data … Continue reading 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[Update: the jvmr package has been replaced by a new package called rscala.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 language to use for statistical computing and data science. Despite this, R is very convenient for simple exploratory data … Continue reading Calling Scala code from R using jvmr
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 particular, I deferred introducing notions of hierarchical modelling until the Bayesian part of the course, where I feel it … Continue reading 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 particular, I deferred introducing notions of hierarchical modelling until the Bayesian part of the course, where I feel it … Continue reading One-way ANOVA with fixed and random effects from a Bayesian perspective
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, Matlab and Julia. I presented the talk on Scala. The slides I presented are available, in addition to the code examples and instructions on how to run … Continue reading Statistical computing languages at the RSS
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 the lack of posts on this blog in recent months. The CDT is now established, with 11 students in the first cohort, … Continue reading Statistics for Big Data
