#' NormNumericInput
#'
#' Creates a Numeric input with a SD input as well
#' @import shinyBS
#' @export
NormNumericInput <- function(paramID, varName, infoId="foo", infoText ="", #specID,
E_value=50, E_min=1, E_max=100, E_step=1,
SD_value=50, SD_min=1, SD_max=100, SD_step=1,
via_InsertUI = FALSE,Button=TRUE,cellWidths="30%"){
if(via_InsertUI==FALSE){
toolTip <- shinyBS::bsTooltip(
id = infoId,
title = infoText,
options = list(container = "body"),
placement = "right", trigger = "hover")
}else{
toolTip <- NULL
}
div(
splitLayout(
cellWidths = cellWidths,
numericInput(inputId = paste0(paramID, "_E_numInput"),
label = label.help(varName, infoId),
min = E_min, max = E_max, step = E_step,
value = E_value, width = '90%'),
numericInput(inputId = paste0(paramID, "_SD_numInput"),
label = paste0("SD of ", varName),
min = SD_min, max = SD_max, step = SD_step,
value = SD_value, width = '90%'),
if(Button==TRUE){
actionButton(inputId = paramID,
label = "View plot", width = '90%')
}
),
toolTip
)
}
# Get wind farm width function ---------------------------------------------
#' Get windfarm width
#'
#' Returns the width of the windfarm in kilometers for use in the flux calculations.
#'
#' @param polyg A polygon. A polygon in WGS84 for calculating the distances between vertices.
#'
#' @return
#' The maximum distance between polygon vertices
#'
#' @importFrom geosphere distm
#' @importFrom geosphere distGeo
get_wf_width <- function(polyg){
#Get the vertices of the polygon and apply the distGeo funcion
vertices <- polyg@polygons[[1]]@Polygons[[1]]@coords
dists <- geosphere::distm(vertices, fun = geosphere::distGeo)
#Get the maximum distance between vertices, which represents the width of the windfarm
#maxDist <- round(dists[which(dists==max(dists))][1]/1000,3)
#### Switch to mean distance (nov 2022) as per suggestion by M Trinder
meanDist <- round(mean(dists[dists>0])/1000,3)
#return(maxDist)
return(meanDist)
}
# Functions for Plotting --------------------------------------------------
#' function for Truncated Normal density plot of model input parameters
#' @importFrom hrbrthemes theme_ipsum
#' @importFrom msm dtnorm
#' @importFrom msm qtnorm
#' @importFrom data.table between
#' @importFrom dplyr mutate
#' @importFrom dplyr filter
#' @importFrom dplyr select
#'
#' @export
truncNormPars_densPlots <- function(mu, stdev, lower = -Inf, upper = Inf, fill="olivedrab", xlab){
req(mu, stdev)
yaxixUpLimBands <- data.frame(start = c(0.0, 0.25, 0.5, 1, 2, 4, 6), end = c(0.25, 0.5, 1, 2, 4, 6, 10))
if(stdev == 0){
if(mu <= lower){
NULL
}else{
data.frame(x = seq(mu-500, mu+500, by = 1), y = 0) %>% #%>% mutate(y = if_else(x == mu, 0.5, 0)) %>%
ggplot(aes(x=x, y=y)) +
geom_path() +
geom_segment(aes(x = mu, xend = mu, y = 0, yend = Inf), size = 1) +
coord_cartesian(xlim = c(0, mu*1.65), ylim = c(0, 0.5)) + hrbrthemes::theme_ipsum(axis_title_size = 14)+
scale_y_continuous(expand=c(0,0)) +
labs(y="Density", x = xlab)
}
}else{
if(stdev>0){
distTails <- msm::qtnorm(c(0.00001, 0.999999), mean = mu, sd = stdev, lower = lower, upper = upper)
xaxisUpLim <- distTails[2]*1.1
xaxisLowLim <- ifelse(distTails[1]*0.5 > mu/2.5, distTails[1]*0.7, 0)
yaxisMax <- max(msm::dtnorm(seq(mu-500, mu+500, by = 1), mean = mu, sd = stdev, lower = lower, upper = upper))
yaxisUpLim <- yaxixUpLimBands %>%
dplyr::mutate(yaxisMax = yaxisMax) %>%
dplyr::filter(data.table::between(yaxisMax, start, end)) %>%
dplyr::select(end)
if(nrow(yaxisUpLim) == 0){
yaxisUpLim <- data.frame(end = yaxisMax)
}
data.frame(qtls = msm::qtnorm(c(0.0001, 0.9999), mean = mu, sd=stdev, lower = lower, upper = upper)) %>%
ggplot(aes(qtls)) +
stat_function(fun=msm::dtnorm, args = list(mean = mu, sd = stdev, lower = lower, upper = upper), col = "black", size = 1) +
stat_function(fun=msm::dtnorm, args = list(mean = mu, sd = stdev, lower = lower, upper = upper), geom="area",
fill = fill, col = "black", alpha = 0.3)+ hrbrthemes::theme_ipsum(axis_title_size = 14)+
scale_y_continuous(expand=c(0,0)) +
labs(y="Density", x = xlab) +
coord_cartesian(xlim = c(xaxisLowLim, max(0, xaxisUpLim, na.rm=TRUE)), ylim = c(0, yaxisUpLim$end))
}else{
NULL
}
}
}
#' Sum the standard deviations
#' @export
sum_stdevs <- function(x){
return(sqrt(sum(sapply(x,function(x) x^2),na.rm=T)))
}
# Customised TRUE-FALSE switch button for Rshiny
# Only sing CSS3 code (No javascript)
#
# Sébastien Rochette
# http://statnmap.com/en/
# April 2016
#
# CSS3 code was found on https://proto.io/freebies/onoff/
# For CSS3 customisation, refer to this website.
#' A function to change the Original checkbox of rshiny
#' into a nice true/false or on/off switch button
#' No javascript involved. Only CSS code.
#'
#' To be used with CSS script 'button.css' stored in a 'www' folder in your Shiny app folder
#'
#' @param inputId The input slot that will be used to access the value.
#' @param label Display label for the control, or NULL for no label.
#' @param value Initial value (TRUE or FALSE).
#' @param col Color set of the switch button. Choose between "GB" (Grey-Blue) and "RG" (Red-Green)
#' @param type Text type of the button. Choose between "TF" (TRUE - FALSE), "OO" (ON - OFF) or leave empty for no text.
switchButton <- function(inputId, label, value=FALSE, col = "GB", type="TF") {
# color class
if (col != "RG" & col != "GB") {
stop("Please choose a color between \"RG\" (Red-Green)
and \"GB\" (Grey-Blue).")
}
if (!type %in% c("OO", "TF", "YN")){
warning("No known text type (\"OO\", \"TF\" or \"YN\") have been specified,
button will be empty of text")
}
if(col == "RG"){colclass <- "RedGreen"}
if(col == "GB"){colclass <- "GreyBlue"}
if(type == "OO"){colclass <- paste(colclass,"OnOff")}
if(type == "TF"){colclass <- paste(colclass,"TrueFalse")}
if(type == "YN"){colclass <- paste(colclass,"YesNo")}
# No javascript button - total CSS3
# As there is no javascript, the "checked" value implies to
# duplicate code for giving the possibility to choose default value
if(value){
tagList(
tags$div(class = "form-group shiny-input-container",
tags$div(class = colclass,
tags$label(label, class = "control-label"),
tags$div(class = "onoffswitch",
tags$input(type = "checkbox", name = "onoffswitch", class = "onoffswitch-checkbox",
id = inputId, checked = ""
),
tags$label(class = "onoffswitch-label", `for` = inputId,
tags$span(class = "onoffswitch-inner"),
tags$span(class = "onoffswitch-switch")
)
)
)
)
)
} else {
tagList(
tags$div(class = "form-group shiny-input-container",
tags$div(class = colclass,
tags$label(label, class = "control-label"),
tags$div(class = "onoffswitch",
tags$input(type = "checkbox", name = "onoffswitch", class = "onoffswitch-checkbox",
id = inputId
),
tags$label(class = "onoffswitch-label", `for` = inputId,
tags$span(class = "onoffswitch-inner"),
tags$span(class = "onoffswitch-switch")
)
)
)
)
)
}
}
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