Description Usage Arguments Details Value Author(s) See Also
shiny app combining most tools of the extreme value analysis using the generalized extreme value (GEV) and generalized Pareto (GP) distribution and providing an interface to most of the functionality of the climex package.
1 2 |
list.data.sources |
A named |
data.frame.positions |
Either a |
resource.directory |
Folder all the resources of the app,
like JavaScript scripts, images etc., will be copied in. If
|
This app needs its own .css, .js files, and
images. In order to assure its correct behavior, the folder
resource.directory
will be generated to store all the
necessary configuration scripts. The configuration files
themselves are provided along with the climexUI package.
The data, which will be handled by the app, has to be provided
using list.data.sources
in a format as described in the
parameter section. In addition, the data.frame.positions
argument has to contain further information about the data
linking the names of the individual stations (contained in the
names of the list
elements in the second level of
hierarchy in list.data.sources
) to their longitude and
latitude. Both inputs will be checked using the
check.input
function and only if it was successful,
the data can be accessed in the application. If not, the
fallback data list.data.sources.fallback
and
data.frame.positions.fallback
will be used instead. You
can also use them as a general guide for the format the
climexUI package is able to handle internally.
If you are lacking time series altogether, you can use the https://gitlab.com/theGreatWhiteShark/dwd2r package to download large sets of climatological quantities from the FTP servers of the German weather service (DWD).
After checking the data, the function will save them in a input.RData file, which will be loaded by the starting shiny application. This way it can be use easily both locally and via shiny-server.
Starts a shiny app
Philipp Mueller
Other top-level: climex.server
,
climex.ui
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