added ax_forecast_data_points()
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@ -29,6 +29,7 @@ export(ax_dataLabels)
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export(ax_facet_grid)
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export(ax_facet_wrap)
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export(ax_fill)
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export(ax_forecast_data_points)
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export(ax_grid)
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export(ax_labels)
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export(ax_labels2)
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1
NEWS.md
1
NEWS.md
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@ -3,6 +3,7 @@ apexcharter 0.4.1
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* Updated ApexCharts.js to 3.40.0 (new chart type: dumbbell chart).
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* `apex()` : added support for boxplot.
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* New function `ax_forecast_data_points()` to mark points as forecasted values.
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@ -1273,9 +1273,44 @@ ax_nodata <- function(ax,
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#' Forecast data points
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#'
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#' @template ax-default
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#' @param count Number of ending data-points you want to indicate as a forecast or prediction values.
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#' The ending line/bar will result into a dashed border with a distinct look to differentiate from the rest of the data-points.
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#' @param fillOpacity Opacity of the fill attribute.
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#' @param strokeWidth Sets the width of the points.
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#' @param dashArray Creates dashes in borders of svg path. Higher number creates more space between dashes in the border.
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#' @param ... Additional arguments (not used).
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#'
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#' @export
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#'
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#' @examples
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#' # add 5 predictions to data then plot it
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#' data.frame(
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#' time = seq_len(53),
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#' lh = c(
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#' as.vector(lh),
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#' as.vector(predict(arima(lh, order = c(1,0,1)), 5)$pred)
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#' )
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#' ) %>%
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#' apex(aes(time, lh), type = "line") %>%
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#' ax_xaxis(type = "numeric") %>%
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#' ax_forecast_data_points(count = 5)
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ax_forecast_data_points <- function(ax,
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count = NULL,
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fillOpacity = NULL,
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strokeWidth = NULL,
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dashArray = NULL,
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...) {
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params <- list(
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count = count,
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fillOpacity = fillOpacity,
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strokeWidth = strokeWidth,
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dashArray = dashArray
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)
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.ax_opt2(ax, "forecastDataPoints", l = dropNulls(params))
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}
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@ -0,0 +1,48 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/apex-utils.R
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\name{ax_forecast_data_points}
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\alias{ax_forecast_data_points}
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\title{Forecast data points}
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\usage{
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ax_forecast_data_points(
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ax,
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count = NULL,
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fillOpacity = NULL,
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strokeWidth = NULL,
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dashArray = NULL,
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...
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)
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}
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\arguments{
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\item{ax}{An \code{\link[=apexchart]{apexchart()}} \code{htmlwidget} object.}
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\item{count}{Number of ending data-points you want to indicate as a forecast or prediction values.
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The ending line/bar will result into a dashed border with a distinct look to differentiate from the rest of the data-points.}
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\item{fillOpacity}{Opacity of the fill attribute.}
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\item{strokeWidth}{Sets the width of the points.}
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\item{dashArray}{Creates dashes in borders of svg path. Higher number creates more space between dashes in the border.}
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\item{...}{Additional arguments (not used).}
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}
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\value{
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An \code{\link[=apexchart]{apexchart()}} \code{htmlwidget} object.
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}
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\description{
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Forecast data points
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}
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\examples{
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# add 5 predictions to data then plot it
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data.frame(
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time = seq_len(53),
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lh = c(
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as.vector(lh),
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as.vector(predict(arima(lh, order = c(1,0,1)), 5)$pred)
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)
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) \%>\%
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apex(aes(time, lh), type = "line") \%>\%
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ax_xaxis(type = "numeric") \%>\%
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ax_forecast_data_points(count = 5)
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}
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