In “Fitting Distributions with R” Vito Ricci writes;

“Fitting distributions consists in finding a mathematical function which represents in a good way a statistical variable. A statistician often is facing with this problem: he has some observations of a quantitative character and he wishes to test if those observations, being a sample of an unknown population, belong from a...

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The following are from Tom Torsney-Weir’s blog (here’s the repo).

• Simple MathJax and R example

• A more complex example with caching

<!--begin.rcode test2,cache=TRUE x.vals <- runif(10) y.vals

• Another plotting example using ggplot

<!--begin.rcode test3,cache=TRUE, message=FALSE library(ggplot2) c

• Example using googleVis

<!--begin.rcode test4,cache=TRUE, message=FALSE, results='asis' suppressPackageStartupMessages(library(googleVis)) ## Table with embedded links PopTable

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