2019-02-14 15:50:58 +01:00
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#' Quick Apex Chart
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#'
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#' @param data Default dataset to use for chart. If not already a \code{data.frame}, it will be coerced to with \code{as.data.frame}.
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#' @param mapping Default list of aesthetic mappings to use for chart
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#' @param type Specify the chart type. Available Options: \code{"column"}, \code{"bar"}, \code{"line"},
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2019-02-14 16:37:40 +01:00
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#' \code{"area"}, \code{"spline"}, \code{"pie"}, \code{"donut"}, \code{"radialBar"}, \code{"scatter"}, \code{"bubble"}, \code{"heatmap"}.
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2019-02-14 15:50:58 +01:00
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#' @param ... Other arguments passed on to methods. Not currently used.
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#' @param width A numeric input in pixels.
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#' @param height A numeric input in pixels.
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#' @param elementId Use an explicit element ID for the widget.
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#'
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#' @export
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#'
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#' @importFrom rlang eval_tidy as_name
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#' @importFrom utils modifyList
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#'
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apex <- function(data, mapping, type = "column", ..., width = NULL, height = NULL, elementId = NULL) {
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2019-02-14 16:37:40 +01:00
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type <- match.arg(type, c("column", "bar", "line", "area", "spline", "area-spline", "pie", "donut", "radialBar", "scatter", "bubble", "heatmap"))
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2019-02-14 15:50:58 +01:00
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data <- as.data.frame(data)
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2019-02-14 16:37:40 +01:00
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mapdata <- lapply(mapping, rlang::eval_tidy, data = data)
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2019-02-14 15:50:58 +01:00
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opts <- list(
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chart = list(type = correct_type(type)),
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2019-02-14 16:37:40 +01:00
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series = make_series(mapdata, mapping, type)
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2019-02-14 15:50:58 +01:00
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)
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2019-02-14 16:37:40 +01:00
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opts <- modifyList(opts, choose_config(type, is_datetime(mapdata)))
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2019-02-14 15:50:58 +01:00
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apexcharter(ax_opts = opts, width = width, height = height, elementId = elementId)
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}
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# Construct series
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2019-02-14 16:37:40 +01:00
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make_series <- function(mapdata, mapping, type) {
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2019-02-14 15:50:58 +01:00
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mapdata <- as.data.frame(mapdata)
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series_names <- "Series"
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2019-02-14 16:37:40 +01:00
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series <- list()
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2019-02-14 15:50:58 +01:00
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if (identical(names(mapping), c("x", "y"))) {
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series_names <- rlang::as_name(mapping$y)
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series <- list(list(
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name = series_names,
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data = parse_df(mapdata, add_names = names(mapping))
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))
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}
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if ("fill" %in% names(mapping)) {
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series <- lapply(
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X = unique(mapdata$fill),
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FUN = function(x) {
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list(
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name = x,
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data = parse_df(mapdata[mapdata$fill %in% x, ], add_names = names(mapping))
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)
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}
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)
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}
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series
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}
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2019-02-14 16:37:40 +01:00
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is_datetime <- function(mapdata) {
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inherits(mapdata$x, what = c("Date", "POSIXt"))
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}
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2019-02-14 15:50:58 +01:00
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# Change type of charts for helpers type
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correct_type <- function(type) {
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if (identical(type, "column")) {
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"bar"
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2019-02-14 16:37:40 +01:00
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} else if (identical(type, "spline")) {
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"line"
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2019-02-14 15:50:58 +01:00
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} else {
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type
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}
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}
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# Switch between auto configs according to type & mapping
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2019-02-14 16:37:40 +01:00
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choose_config <- function(type, datetime) {
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2019-02-14 15:50:58 +01:00
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switch(
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type,
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"bar" = config_bar(horizontal = TRUE),
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"column" = config_bar(horizontal = FALSE),
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2019-02-14 16:37:40 +01:00
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"line" = config_line(datetime = datetime),
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"area" = config_line(datetime = datetime),
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"spline" = config_line(curve = "smooth", datetime = datetime),
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2019-02-14 15:50:58 +01:00
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list()
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)
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}
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# Config for column & bar charts
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config_bar <- function(horizontal = FALSE) {
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config <- list(
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plotOptions = list(
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bar = list(
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horizontal = horizontal
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)
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)
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)
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if (isTRUE(horizontal)) {
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config <- c(config, list(
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grid = list(
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yaxis = list(lines = list(show = FALSE)),
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xaxis = list(lines = list(show = TRUE))
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)
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))
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}
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config
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}
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2019-02-14 16:37:40 +01:00
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# Config for line, spline, area, area-spline
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config_line <- function(curve = "straight", datetime = FALSE) {
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config <- list(
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stroke = list(
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curve = curve
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)
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)
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if (isTRUE(datetime)) {
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config <- c(config, list(
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xaxis = list(type = "datetime")
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))
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}
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config
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}
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