The development version of flowPloidy is working well, and corrects a number of issues present in the stable version. However, the documentation is now (2017-03-03) out-dated! Work to update the help files and vignettes is ongoing.
flowPloidy is available in Bioconductor.
To install it, you need to install the
bioconductor R package (more
details on the Bioconductor site ):
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite()
Once that's installed, you can install
flowPloidy using the Bioconductor
biocLite("flowPloidy") biocLite("flowPloidyData") # (optional) data for the examples
This should pull in all the package dependencies for
which you can load the package with the normal function
Bioconductor focuses on stable software, and consequently only releases
updates once every 6 months. Development on
flowPloidy is currently
(March 2017) proceeding at a faster rate. You may install the development
version directly from the GitHub repository if you wish to use the latest
## Install Bioconductor tools first: source("https://bioconductor.org/biocLite.R") biocLite() ## Install flowCore from Bioconductor: biocLite("flowCore") ## Install devtools so you can directly access GitHub install.packages(devtools) library(devtools) ## Install flowPloidy: install_github("plantarum/flowPloidy", dependencies = TRUE, build_vignettes = TRUE)
flowPloidy workflow is documented in the vignette, which you can view
fpVig <- vignette("flowPloidy-overview") fpVig ## open vignette in a browser edit(name = fpVig) ## open vignette source code in a text editor
For general help using the package, you can post questions on
the Bioconductor Support Site. Use the
flowploidy to ensure your question is brought to my attention.
The development repository for
on Github, and you can file bugs
there using the issues tab. You are also welcome to contribute features
or bug-fixes via pull requests!
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