Animal track reconstruction for high frequency 2-dimensional 2D or 3-dimensional 3D movement data. Bayesian bandwidth estimation and semi-metric selection for the functional kernel regression with unknown error density.
Functions to fit cell volume distributions and thereby estimate cell growth rates and division times. Calculate AUC-type measure when gold standard is continuous and the corresponding optimal linear combination of variables with respect to it.
Plot and add custom coloring to Venn diagrams for 2-dimensional, 3-dimensional and 4-dimensional data. Create stunning multi-layered graphics with ease. A consistent, simple and easy-to-use set of wrappers around the fantastic 'stringi' package. Shiny makes it incredibly easy to build interactive web applications with R. Use R Markdown to develop your code and ideas in a reproducible document. Knit plots, tables, and results together with narrative text, and create analyses ready to be shared.
Use flexdashboard to publish groups of related data visualizations as a dashboard. Any packages that need to be loaded as dependencies will be loaded first, before the named package is loaded.
After loading a package, the functions exported by that package will be attached to the top of the search list after the workspace. What is R packages? After installation, you must first load the package for using the functions in the package.
Installing R packages Packages can be installed either from CRAN for general packages , from Bioconductor for biology-related packages or from Github developing versions of packages. The syntax is as follow: install. Install a package from Bioconductor Bioconductor contains packages for analyzing biological related data.
R" biocLite "limma". Install a package from Github GitHub is a repository useful for all software development and data analysis, including R packages.
View the list of installed packages To view the list of the already installed packages on your computer, type : installed. Folder containing installed packages R packages are installed in a directory called library. Load and use an R package To use a specific function available in an R package, you have to load the R package using the function library.
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