72 lines
1.8 KiB
R
72 lines
1.8 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/apex.R
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\name{apex}
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\alias{apex}
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\title{Quick ApexChart}
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\usage{
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apex(data, mapping, type = "column", ..., auto_update = TRUE,
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width = NULL, height = NULL, elementId = NULL)
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}
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\arguments{
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\item{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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\item{mapping}{Default list of aesthetic mappings to use for chart}
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\item{type}{Specify the chart type. Available Options: \code{"column"}, \code{"bar"}, \code{"line"},
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\code{"area"}, \code{"spline"}, \code{"pie"}, \code{"donut"}, \code{"radialBar"}, \code{"radar"}, \code{"scatter"}, \code{"heatmap"}.}
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\item{...}{Other arguments passed on to methods. Not currently used.}
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\item{auto_update}{In Shiny application, update existing chart rather than generating new one.}
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\item{width}{A numeric input in pixels.}
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\item{height}{A numeric input in pixels.}
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\item{elementId}{Use an explicit element ID for the widget.}
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}
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\value{
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A \code{apexcharts} \code{htmlwidget} object.
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}
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\description{
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Initialize a chart with three main parameters : data, mapping and type of chart.
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}
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\examples{
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library(dplyr)
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# make a barchart with a frequency table
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data("mpg", package = "ggplot2")
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apex(
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data = count(mpg, manufacturer),
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mapping = aes(x = manufacturer, y = n),
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type = "bar"
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)
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# timeseries
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data("economics", package = "ggplot2")
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apex(
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data = economics,
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mapping = aes(x = date, y = uempmed),
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type = "line"
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)
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# you can add option to apex result :
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apex(
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data = economics,
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mapping = aes(x = date, y = uempmed),
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type = "line"
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) \%>\%
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ax_stroke(width = 1)
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# with group variable
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data("economics_long", package = "ggplot2")
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apex(
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data = economics_long,
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mapping = aes(x = date, y = value01, group = variable),
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type = "line"
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)
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}
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