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locals.R
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##' @title Add color legend to a map, possibly reversed
##' @description Add color legend to a map, possibly reversed, possibly You can also manually specify the colors and labels for the legend.
##' @details
##' This builds on the \code{\link[leaflet]{addLegend}} function from the leaflet R package and adds the option to display the labels and corresponding colors in deceasing order. It is cribbed from \url{https://github.com/rstudio/leaflet/issues/256#issuecomment-440290201}.
##'
##' @param map
##' @param position
##' @param pal
##' @param values
##' @param na.label
##' @param bins
##' @param colors
##' @param opacity
##' @param labels
##' @param labFormat
##' @param title
##' @param className
##' @param layerId
##' @param group
##' @param data
##' @param decreasing
##' @seealso \code{\link[leaflet]{addLegend}}
##' @return
##' @author @mpriem89 (on github)
addLegendDecreasing <- function (map, position = c("topright", "bottomright", "bottomleft",
"topleft"), pal, values, na.label = "NA", bins = 7, colors,
opacity = 0.5, labels = NULL, labFormat = labelFormat(),
title = NULL, className = "info legend", layerId = NULL,
group = NULL, data = getMapData(map), decreasing = FALSE) {
position <- match.arg(position)
type <- "unknown"
na.color <- NULL
extra <- NULL
if (!missing(pal)) {
if (!missing(colors))
stop("You must provide either 'pal' or 'colors' (not both)")
if (missing(title) && inherits(values, "formula"))
title <- deparse(values[[2]])
values <- evalFormula(values, data)
type <- attr(pal, "colorType", exact = TRUE)
args <- attr(pal, "colorArgs", exact = TRUE)
na.color <- args$na.color
if (!is.null(na.color) && col2rgb(na.color, alpha = TRUE)[[4]] ==
0) {
na.color <- NULL
}
if (type != "numeric" && !missing(bins))
warning("'bins' is ignored because the palette type is not numeric")
if (type == "numeric") {
cuts <- if (length(bins) == 1)
pretty(values, bins)
else bins
if (length(bins) > 2)
if (!all(abs(diff(bins, differences = 2)) <=
sqrt(.Machine$double.eps)))
stop("The vector of breaks 'bins' must be equally spaced")
n <- length(cuts)
r <- range(values, na.rm = TRUE)
cuts <- cuts[cuts >= r[1] & cuts <= r[2]]
n <- length(cuts)
p <- (cuts - r[1])/(r[2] - r[1])
extra <- list(p_1 = p[1], p_n = p[n])
p <- c("", paste0(100 * p, "%"), "")
if (decreasing == TRUE){
colors <- pal(rev(c(r[1], cuts, r[2])))
labels <- rev(labFormat(type = "numeric", cuts))
}else{
colors <- pal(c(r[1], cuts, r[2]))
labels <- labFormat(type = "numeric", cuts)
}
colors <- paste(colors, p, sep = " ", collapse = ", ")
}
else if (type == "bin") {
cuts <- args$bins
n <- length(cuts)
mids <- (cuts[-1] + cuts[-n])/2
if (decreasing == TRUE){
colors <- pal(rev(mids))
labels <- rev(labFormat(type = "bin", cuts))
}else{
colors <- pal(mids)
labels <- labFormat(type = "bin", cuts)
}
}
else if (type == "quantile") {
p <- args$probs
n <- length(p)
cuts <- quantile(values, probs = p, na.rm = TRUE)
mids <- quantile(values, probs = (p[-1] + p[-n])/2,
na.rm = TRUE)
if (decreasing == TRUE){
colors <- pal(rev(mids))
labels <- rev(labFormat(type = "quantile", cuts, p))
}else{
colors <- pal(mids)
labels <- labFormat(type = "quantile", cuts, p)
}
}
else if (type == "factor") {
v <- sort(unique(na.omit(values)))
colors <- pal(v)
labels <- labFormat(type = "factor", v)
if (decreasing == TRUE){
colors <- pal(rev(v))
labels <- rev(labFormat(type = "factor", v))
}else{
colors <- pal(v)
labels <- labFormat(type = "factor", v)
}
}
else stop("Palette function not supported")
if (!any(is.na(values)))
na.color <- NULL
}
else {
if (length(colors) != length(labels))
stop("'colors' and 'labels' must be of the same length")
}
legend <- list(colors = I(unname(colors)), labels = I(unname(labels)),
na_color = na.color, na_label = na.label, opacity = opacity,
position = position, type = type, title = title, extra = extra,
layerId = layerId, className = className, group = group)
invokeMethod(map, data, "addLegend", legend)
}
my_limits <- function(limits) {
## force axis range to include 0
if(limits[1] > 0) return(c(0, limits[2]))
else return(limits)
}
label_date <- function(variable, value) {
## formatted dates for use with ggplot2 facet_* functions
strftime(unique(value), "%b %d")
}