This R package contains additional code for producing (and reproducing) experiment data in publication of SPIA-PCC
This is an R package. So you should first have R installed on your OS. (here's how).
To install this package from source code (and in this case, source code from Github), devtools should be installed once R is in place. Also, you need to have BiocManager installed so that all R package dependencies are kept consistent under BioConductor. This code is guaranteed to work under BioConductor version 3.9. Some packages may be unavailable in higher versions of BioConductor.
SPIA-PCC should be installed.
Afterwards, launch your R session, and use the following commands to install spiapcc-demo:
library(devtools)
# If installing from Github
devtools::install_github("allenaigit/spiapcc.demo")
# If installing from downloaded and unzipped source code
devtools::install("/path_to_spiapcc/spiapcc.demo-master")
If being prompted to install any updates or missing dependencies, please accept and install following prompts.
Note: under *nix systems, default path for R package installation is "/usr/local/lib" which usually requires root access to write into it.
library(spiapcc.demo)
# Man page for spiapcc.demo
?run
This code comes with no warrenty or whatsoever, please use at your own risk. You're welcome to submit issues to Issues page, but please be sure to attach descriptions and materials needed to reproduce the problem you've encountered.
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