« For users with little or no experience with command-lines (CLI) a graphical user interface (GUI) offers intuitive access that counteracts the perceived steep learning curve of a CLI »
Creating a plot: a common task in R
« Sharing shiny applications is simple and there are multiple ways to do so! »
- Streamline common tasks (eg. plotting data)
- Lay the foundation for a common analysis platform (see Shiny-Server)
Current content of
jscolorInput(inputId, label, value, position = 'bottom',
popover(title, content, header = NULL, html = TRUE,
class = 'btn btn-default', placement = c('right', 'top', 'left',
'bottom'), trigger = c('click', 'hover', 'focus', 'manual')) Create a bootstrap button with popover, i.e. a small overlays of content for housing secondary information.
tooltip(refId, text, attr = NULL, animation = TRUE, delay = 100, html = TRUE, placement = 'auto', trigger = 'hover') Create bootstrap tooltips for any HTML element to be used in shiny applications.
« R allows the creation of complex and transparent data analysis routines for experimental protocols that are not available in existing software. »
For routine luminescence dating applications the commonly used [measurement devices] are bundled with analysis software, such as Viewer or Analyst. These software solutions are appropriate for most of the regular dating and publication jobs, and enable assessment of luminescence characteristics and provide basic statistical data treatment. However, for further statistical analysis and data treatments, this software may reach its limits. In such cases, open programming languages are a more appropriate approach.
A potpourri of functions
Since its release in 2012 the functionality of the R package
Luminescence drastically increased.
What started with a handful of functions to apply a very specific type of signal
analysis and to plot the data is now a collection of >100 functions for all sorts
of (non-)specialised tasks.
Current content of
It is generally hard to measure and keep track of the distribution and reception of
the R package
RLumShiny). The official CRAN download statistics,
however, may provide at least some indication on how many and where people are using
our package. The data you see on the right-hand side are generated from the raw CRAN logs.