General features

C=strsplit('851+-. ','')[[1]]
i=jpeg::readJPEG(system.file('img/Rlogo.jpg',package='jpeg'))[c(T,F),,2]
i[]=C[findInterval(i,quantile(i,p=seq(0,1,,length(C))))]
cat(apply(i,1,paste,collapse=''),sep='\n')

                  --        -  --   -    ++++++++++++++++++      --  --     -   -  - -+             
                 -    - +  -- ++++155555555555555555555555555555551+++   -+-    +--  +              
                - +- -…

Say I don’t like the default arguments of a particular function. What can I do about it?

The eight queens puzzle is the problem of placing eight chess queens on an 8×8 chessboard so that no two queens threaten each other.

What’s a good way to find the location of a needle in a haystack?

In this post, as an example of using minilexer, I’ll parse the stanford bunny 3D object into an R data structure and display it.

In this post, as an example of using minilexer, I’ll parse chess games into an R data frame.

In a prior post, I introduced the minilexer package, and showed some basic uses of the core functions.

I need to read some foreign data formats into R data structures for manipulation. If the data was csv or yaml or json then I’d just use a package that someone else had written to read in the data. In my case, the data format doesn’t have its own package, so I need to write some parsing code from scratch.

Most (all?) testing packages in R are built around the idea of testing a value at a particular moment in time e.g. “Check that a == 2 right now”.