In NVE/Flood_forecasting: Title: A list a functions to support the Flomvarsling Shiny app

A list a functions to support the Flomvarsling Shiny app

Authors: Florian Kobierska Baffie [aut, cre]

Version: 0.1

License: see license.md

Description

This package was developed for the FlomKart project. It contains functions used by the shiny app

Imports

leaflet, tidyverse

Suggests

testthat, packagedocs

r suppressWarnings(suppressMessages( library(FlomvarslingApp, quietly = TRUE, warn.conflicts = FALSE, verbose = FALSE ) ))

Package Functions

dygraph_mod

dygraph_mod

This was an attempt to modularize Bymans functions. Server module. May not work...

Usage

dygraph_mod(input, output, session, selected_stations, model_1, model_2, model_3, model_4 = NULL)

Arguments

input

This was an attempt to modularize Bymans functions. Server module. May not work...

output

This was an attempt to modularize Bymans functions. Server module. May not work...

session

This was an attempt to modularize Bymans functions. Server module. May not work...

selected_stations

This was an attempt to modularize Bymans functions. Server module. May not work...

model_1

This was an attempt to modularize Bymans functions. Server module. May not work...

model_2

This was an attempt to modularize Bymans functions. Server module. May not work...

model_3

This was an attempt to modularize Bymans functions. Server module. May not work...

model_4

This was an attempt to modularize Bymans functions. Server module. May not work...

dygraph_mod2

dygraph_mod2

This was an attempt to modularize Bymans functions. Server module. May not work...

Usage

dygraph_mod2(input, output, session, selected_stations, model_1, model_2, model_3, model_4 = NULL)

Arguments

input

This was an attempt to modularize Bymans functions. Server module. May not work...

output

This was an attempt to modularize Bymans functions. Server module. May not work...

session

This was an attempt to modularize Bymans functions. Server module. May not work...

selected_stations

This was an attempt to modularize Bymans functions. Server module. May not work...

model_1

This was an attempt to modularize Bymans functions. Server module. May not work...

model_2

This was an attempt to modularize Bymans functions. Server module. May not work...

model_3

This was an attempt to modularize Bymans functions. Server module. May not work...

model_4

This was an attempt to modularize Bymans functions. Server module. May not work...

dygraph_modUI

dygraph_modUI

This was an attempt to modularize Bymans functions. UI module to be used with "dygraph_mod". May not work...

Usage

dygraph_modUI(id)

Arguments

id

This was an attempt to modularize Bymans functions. UI module to be used with "dygraph_mod". May not work...

forecast_plot

forecast_plot

Usage

forecast_plot(dat)

Arguments

dat

forecast_plot_mod

forecast_plot_mod

Shiny server module to plot ...

Usage

forecast_plot_mod(input, output, session, map_input, dat)

Arguments

input

Shiny server module to plot ...

output

Shiny server module to plot ...

session

Shiny server module to plot ...

map_input

Shiny server module to plot ...

dat

Shiny server module to plot ...

forecast_plot_mod_shading

forecast_plot_mod_shading

Shiny server module to plot ... Same plot as forecast_plot_mod but without plotly to get the shading for the current day

Usage

forecast_plot_mod_shading(input, output, session, map_input, dat)

Arguments

id

Shiny server module to plot ... Same plot as forecast_plot_mod but without plotly to get the shading for the current day

forecast_plot_mod_shadingUI

forecast_plot_mod_shadingUI

Shiny UI module to be used with "forecast_plot_mod_shading"

Usage

forecast_plot_mod_shadingUI(id)

Arguments

id

Shiny UI module to be used with "forecast_plot_mod_shading"

forecast_plot_modUI

forecast_plot_modUI

Shiny UI module to plot ...

Usage

forecast_plot_modUI(id)

Arguments

id

Shiny UI module to plot ...

forecast_plot_shading

forecast_plot_shading

This function only produces "static" ggplot for the moment, but I need to find a way to do the shading with plotly

Usage

forecast_plot_shading(dat)

Arguments

dat

This function only produces "static" ggplot for the moment, but I need to find a way to do the shading with plotly

Examples

# forecast_plot_shading(Mistake, Mist)
# This is dummy example

mapModule

mapModule

Shiny server module to map ...

Usage

mapModule(input, output, session)

Arguments

input

Shiny server module to map ...

output

Shiny server module to map ...

session

Shiny server module to map ...

mapModule_polygonFeature

mapModule_polygonFeature

Shiny server module to map ...

Usage

mapModule_polygonFeature(input, output, session)

Arguments

input

Shiny server module to map ...

output

Shiny server module to map ...

session

Shiny server module to map ...

mapModule_polygonFeatureUI

mapModule_polygonFeatureUI

Shiny UI module to be used with "mapModule_polygonFeature" ...

Usage

mapModule_polygonFeatureUI(id)

Arguments

id

Shiny UI module to be used with "mapModule_polygonFeature" ...

mapModuleUI

mapModuleUI

Shiny UI module to be used with "mapModule" ...

Usage

mapModuleUI(id, multiple_choice = FALSE)

Arguments

id

Shiny UI module to be used with "mapModule" ...

multiple_choice

Shiny UI module to be used with "mapModule" ...

multimod_forecast_plot

multimod_forecast_plot

Usage

multimod_forecast_plot(dat_1 = NULL, dat_2 = NULL, dat_3 = NULL, dat_4 = NULL, return_levels = NULL, gg_plot = FALSE)

Arguments

dat_1

dat_2

dat_3

dat_4

return_levels

gg_plot

multimod_forecast_plot_EXP

multimod_forecast_plot_EXP

Shiny server module to do multi-model plots. Needs tidy up with other functions... To tidy up probable double up with multimod_forecast_plot

Usage

multimod_forecast_plot_EXP(dat_1 = NULL, dat_2 = NULL, dat_3 = NULL, dat_4 = NULL)
multimod_forecast_plot_EXP(dat_1 = NULL, dat_2 = NULL, dat_3 = NULL, dat_4 = NULL)

Arguments

dat_1

Shiny server module to do multi-model plots. Needs tidy up with other functions... To tidy up probable double up with multimod_forecast_plot

dat_2

Shiny server module to do multi-model plots. Needs tidy up with other functions... To tidy up probable double up with multimod_forecast_plot

dat_3

Shiny server module to do multi-model plots. Needs tidy up with other functions... To tidy up probable double up with multimod_forecast_plot

dat_4

Shiny server module to do multi-model plots. Needs tidy up with other functions... To tidy up probable double up with multimod_forecast_plot

input

Shiny server module to do multi-model plots. Needs tidy up with other functions... To tidy up probable double up with multimod_forecast_plot

output

Shiny server module to do multi-model plots. Needs tidy up with other functions... To tidy up probable double up with multimod_forecast_plot

session

Shiny server module to do multi-model plots. Needs tidy up with other functions... To tidy up probable double up with multimod_forecast_plot

selected_stations

Shiny server module to do multi-model plots. Needs tidy up with other functions... To tidy up probable double up with multimod_forecast_plot

model_1

Shiny server module to do multi-model plots. Needs tidy up with other functions... To tidy up probable double up with multimod_forecast_plot

model_2

Shiny server module to do multi-model plots. Needs tidy up with other functions... To tidy up probable double up with multimod_forecast_plot

model_3

Shiny server module to do multi-model plots. Needs tidy up with other functions... To tidy up probable double up with multimod_forecast_plot

model_4

Shiny server module to do multi-model plots. Needs tidy up with other functions... To tidy up probable double up with multimod_forecast_plot

multimod_forecast_plot_mod

multimod_forecast_plot_mod

Shiny server module to do multi-model plots. Needs new parametrization!

Usage

multimod_forecast_plot_mod(input, output, session, map_input, model_1, model_2, model_3, model_4, return_levels = NULL)

Arguments

input

Shiny server module to do multi-model plots. Needs new parametrization!

output

Shiny server module to do multi-model plots. Needs new parametrization!

session

Shiny server module to do multi-model plots. Needs new parametrization!

map_input

Shiny server module to do multi-model plots. Needs new parametrization!

model_1

Shiny server module to do multi-model plots. Needs new parametrization!

model_2

Shiny server module to do multi-model plots. Needs new parametrization!

model_3

Shiny server module to do multi-model plots. Needs new parametrization!

model_4

Shiny server module to do multi-model plots. Needs new parametrization!

return_levels

Shiny server module to do multi-model plots. Needs new parametrization!

multimod_forecast_plot_modUI

multimod_forecast_plot_modUI

Shiny UI module to be used with multimod_forecast_plot

Usage

multimod_forecast_plot_modUI(id)

Arguments

id

Shiny UI module to be used with multimod_forecast_plot

multimod_forecast_selection_modUI

multimod_forecast_selection_modUI

Shiny UI module...

Usage

multimod_forecast_selection_modUI(id)

Arguments

id

Shiny UI module...

multiple_station_map

multiple_station_map

mapping function

Usage

multiple_station_map(stations, selected_regine_main = NULL, selected_name = NULL, selected_long = NULL, selected_lat = NULL, single_poly = FALSE, variable2plot = "none", radius_function = TRUE, popups = FALSE)

Arguments

stations

mapping function

selected_regine_main

mapping function

selected_name

mapping function

selected_long

mapping function

selected_lat

mapping function

single_poly

mapping function

variable2plot

mapping function

radius_function

mapping function

popups

mapping function

mydygraphModule

mydygraphModule

This was an attempt to modularize Bymans functions. Server module. May not work...

Usage

mydygraphModule(input, output, session)

Arguments

input

This was an attempt to modularize Bymans functions. Server module. May not work...

output

This was an attempt to modularize Bymans functions. Server module. May not work...

session

This was an attempt to modularize Bymans functions. Server module. May not work...

mydygraphModuleUI

mydygraphModuleUI

This was an attempt to modularize Bymans functions. UI module to be used with "mydygraphModule". May not work...

Usage

mydygraphModuleUI(id)

Arguments

id

This was an attempt to modularize Bymans functions. UI module to be used with "mydygraphModule". May not work...

NEW_mapModule_polygonFeature

NEW_mapModule_polygonFeature

Shiny server module to map... TO tidy up with mapModule_polygonFeature

Usage

NEW_mapModule_polygonFeature(input, output, session)

Arguments

input

Shiny server module to map... TO tidy up with mapModule_polygonFeature

output

Shiny server module to map... TO tidy up with mapModule_polygonFeature

session

Shiny server module to map... TO tidy up with mapModule_polygonFeature

NEW_mapModule_polygonFeatureUI

NEW_mapModule_polygonFeatureUI

Shiny UI module to be used with "NEW_mapModule_polygonFeature"

Usage

NEW_mapModule_polygonFeatureUI(id)

Arguments

id

Shiny UI module to be used with "NEW_mapModule_polygonFeature"

OLD_forecast_plot_modUI

OLD_forecast_plot_modUI

Shiny UI module to plot ...

Usage

OLD_forecast_plot_modUI(id)

Arguments

id

Shiny UI module to plot ...

OLD_mapModule_polygonFeature

OLD_mapModule_polygonFeature

Shiny server module to map... TO tidy up with mapModule_polygonFeature

Usage

OLD_mapModule_polygonFeature(input, output, session)

Arguments

input

Shiny server module to map... TO tidy up with mapModule_polygonFeature

output

Shiny server module to map... TO tidy up with mapModule_polygonFeature

session

Shiny server module to map... TO tidy up with mapModule_polygonFeature

OLD_mapModule_polygonFeatureUI

OLD_mapModule_polygonFeatureUI

Shiny UI module to be used with "OLD_mapModule_polygonFeature"

Usage

OLD_mapModule_polygonFeatureUI(id)

Arguments

id

Shiny UI module to be used with "OLD_mapModule_polygonFeature"

OLD_multimod_forecast_plot

OLD_multimod_forecast_plot

Shiny server module to do multi-model plots. Needs tidy up with previous function

Usage

OLD_multimod_forecast_plot(input, output, session, selected_stations = NULL, model_1, model_2, model_3, model_4, return_levels = NULL, variable_1, variable_2, variable_3, variable_4, type_rl)

Arguments

input

Shiny server module to do multi-model plots. Needs tidy up with previous function

output

Shiny server module to do multi-model plots. Needs tidy up with previous function

session

Shiny server module to do multi-model plots. Needs tidy up with previous function

selected_stations

Shiny server module to do multi-model plots. Needs tidy up with previous function

model_1

Shiny server module to do multi-model plots. Needs tidy up with previous function

model_2

Shiny server module to do multi-model plots. Needs tidy up with previous function

model_3

Shiny server module to do multi-model plots. Needs tidy up with previous function

model_4

Shiny server module to do multi-model plots. Needs tidy up with previous function

return_levels

Shiny server module to do multi-model plots. Needs tidy up with previous function

variable_1

Shiny server module to do multi-model plots. Needs tidy up with previous function

variable_2

Shiny server module to do multi-model plots. Needs tidy up with previous function

variable_3

Shiny server module to do multi-model plots. Needs tidy up with previous function

variable_4

Shiny server module to do multi-model plots. Needs tidy up with previous function

type_rl

Shiny server module to do multi-model plots. Needs tidy up with previous function

single_station_map

single_station_map

mapping function

Usage

single_station_map(stations, selected_nbname = NULL, selected_long = NULL, selected_lat = NULL, variable2plot = "none", map_layer = "open streetmap", catchments = FALSE, colored_markers = FALSE, radius_function = TRUE, popups = FALSE)

Arguments

stations

mapping function

selected_nbname

mapping function

selected_long

mapping function

selected_lat

mapping function

variable2plot

mapping function

map_layer

mapping function

catchments

mapping function

colored_markers

mapping function

radius_function

mapping function

popups

mapping function

table_mod

table_mod

Shiny server module to render data tables

Usage

table_mod(input, output, session, dat)

Arguments

input

Shiny server module to render data tables

output

Shiny server module to render data tables

session

Shiny server module to render data tables

dat

Shiny server module to render data tables

table_modUI

table_modUI

Shiny UI module to be used with table_mod

Usage

table_modUI(id)

Arguments

id

Shiny UI module to be used with table_mod

taylor_mod

taylor_mod

This was an attempt to modularize Bymans functions. Server module. May not work...

Usage

taylor_mod(input, output, session, selected_stations, model_1, model_2, model_3, model_4 = NULL)

Arguments

input

This was an attempt to modularize Bymans functions. Server module. May not work...

output

This was an attempt to modularize Bymans functions. Server module. May not work...

session

This was an attempt to modularize Bymans functions. Server module. May not work...

selected_stations

This was an attempt to modularize Bymans functions. Server module. May not work...

model_1

This was an attempt to modularize Bymans functions. Server module. May not work...

model_2

This was an attempt to modularize Bymans functions. Server module. May not work...

model_3

This was an attempt to modularize Bymans functions. Server module. May not work...

model_4

This was an attempt to modularize Bymans functions. Server module. May not work...

taylor_modUI

taylor_modUI

This was an attempt to modularize Bymans functions. UI module to be used with "taylor_mod". May not work...

Usage

taylor_modUI(id)

Arguments

id

This was an attempt to modularize Bymans functions. UI module to be used with "taylor_mod". May not work...

which_station_in_polygon

which_station_in_polygon

Sub-function use to find which stations are in the polygon the user has drawn

Usage

which_station_in_polygon(stations, map_selection)

Arguments

stations

Sub-function use to find which stations are in the polygon the user has drawn

map_selection

Sub-function use to find which stations are in the polygon the user has drawn

NVE/Flood_forecasting documentation built on May 7, 2019, 6:04 p.m.