1028 search results for "latex"

MathJax Syntax Change

May 25, 2012
By
MathJax Syntax Change

We’ve just a made a change to the syntax for embedding MathJax equations in R Markdown documents. The change was made to eliminate some parsing ambiguities and to support future extensibility to additional formats. The revised syntax adds a “latex” qualifier to the $ or $$ equation begin delimiter. It looks like this: This change

Read more »

A course in statistical programming

May 25, 2012
By
A course in statistical programming

Graduate students in statistics often take (or at least have the opportunity to take) a statistical computing course, but often such courses are focused on methods (like numerical linear algebra, the EM algorithm, and MCMC) and not on actual coding. For example, here’s a course in “advanced statistical computing” that I taught at Johns Hopkins

Read more »

RStudio v0.96.225 Update

May 24, 2012
By
RStudio v0.96.225 Update

There’s an updated release of RStudio v0.96 available that includes some small enhancements and bugfixes, including: Comment/uncomment for Sweave and LaTeX Additional in-product documentation for R Markdown Offline support for MathJax previews More flexible handling of MathJax inline equations The release notes include a full list all of the changes. We’ve also published some additional documentation on

Read more »

knitR Performance Report 3 (really with knitr) and dprint

May 23, 2012
By
knitR Performance Report 3 (really with knitr) and dprint

please see knitr Performance Report–Attempt 3, knitr Performance Report-Attempt 2 and knitr Performance Report-Attempt 1 alstated’s asked a very good question in his comment on knitr Performance Report–Attempt 3, and I’m not sure I could have a...

Read more »

CFP: the 10th Australasian Data Mining Conference (AusDM 2012)

May 20, 2012
By
CFP: the 10th Australasian Data Mining Conference (AusDM 2012)

The Tenth Australasian Data Mining Conference (AusDM 2012) Sydney, Australia 5-7 December 2012 http://ausdm12.togaware.com/ Data mining, the art and science of intelligent analysis of (usually large) data sets for meaningful (and previously unknown) insights, is now being actively applied in … Continue reading →

Read more »

Example Reproducible Report using R Markdown: Analysis of California Schools Test Data

May 18, 2012
By
Example Reproducible Report using R Markdown:  Analysis of California Schools Test Data

This is a quick set of analyses of the California Test Score dataset. The post was produced using R Markdown in RStudio 0.96. The main purpose of this post is to provide a case study of using R Markdown to prepare a quick reproducible report. It provides examples of using plots, output, in-line R code, and...

Read more »

Reproducible research with markdown, knitr and pandoc

May 17, 2012
By
Reproducible research with markdown, knitr and pandoc

Over the last few weeks I was trying to optimise my workflow using markdow in combination with knitr and pandoc. Knitr is a grea new package by Yihui, expanding R’s capabilities for reproducible research. I will illustrate my work flow … Continue reading →

Read more »

Getting Started with R Markdown, knitr, and Rstudio 0.96

May 16, 2012
By
Getting Started with R Markdown, knitr, and Rstudio 0.96

This post examines the features of R Markdown using knitr in Rstudio 0.96. This combination of tools provides an exciting improvement in usability for reproducible analysis. Specifically, this post (1) discusses getting started with R Markdown and knitr in Rstudio 0.96; (2) provides a basic example of producing console output and plots...

Read more »

garch() uncertainty

May 16, 2012
By
garch() uncertainty

As part of an on-going paper with Kerrie Mengersen and Pierre Pudlo, we are using a GARCH(1,1) model as a target. Thus, the model is of the form which is a somehow puzzling object: the latent (variance) part is deterministic and can be reconstructed exactly given the series and the parameters. However, estimation is not

Read more »

Submitting a package to CRAN

May 16, 2012
By

The process is relatively smooth, I think - especially if you start off with a Linux machine. However, when I had to compile the package and documentation for BCEA, I still had a couple of blips. The first problem was in the documentation. R tries...

Read more »