This is the home page for the following review:
Eglen SJ (2016) Bivariate spatial point patterns in the retina: a
reproducible review. Journal de la Société Française de Statistique
This package contains all the material needed to regenerate the
article for itself. Some key parts of the package are:
- vignettes/eglen2015.Rnw: the source file
for the article in LaTeX format.
- inst/extdata: a folder containing all the data files
studied in this article.
Recompiling the paper
This R package depends on a few other packages, from CRAN and my
personal library. The following sequence should install everything
Rscript -e 'install.packages(c("splancs", "spatstat", "devtools", "knitr", "xtable"))' Rscript -e 'install.packages(c("sjedmin", "sjedrp", "sjevor","sjedist"), type="source", contriburl="http://damtp.cam.ac.uk/user/eglen/r/")' Rscript -e 'devtools::install_github("sje30/eglen2015",build_vignettes=TRUE)'
The last line should load this package. Once it is installed, you can
then view the paper, or view the knitr document that created the paper:
This does of course assume that your system already has R, latex, and
various unix tools. That may not be the case; however, you can still
use the package through the Docker system, see next.
Once you have docker installed on your system,
you can download and run this package using:
docker run -d -p 8787:8787 sje30/eglen2015
to check the status of this Docker package.)
Then visit the web page to start R (username and password are "rstudio"):
http://localhost:8787/ ## linux http://192.168.99.100:8787/ ## mac, windows users
The IP address for mac/windows may vary; you can check it by running
docker-machine ip default
Once you have logged in, you can then do the following commands to
recompile the document:
Then examine the
vignettes folder and you should see
Thanks to the Rocker team for the
R-based docker images, on which this work is based.