R/eRadar.R

Defines functions eRadar

Documented in eRadar

#' Create an HTML radar charts widget using the ECharts(version:3.2.2) library
#'
#' This function creates an HTML widget to display data.frame using the JavaScript library ECharts3.
#' @param dat a data object (a data frame or a factor array)
#' @param xvar,yvar objects of class "formula" (or one that can be coerced 
#'   to that class):  x,y coordinates of the given data.frame colnames, e.g. 
#'   \code{xvar = ~xAxisName}; \code{yvar = ~yAxisName}. xvar, yvar are needed for the 
#'   data.frame data input.
#' @param series an "formula" object: Associates the levels of variable
#'   with symbol color, e.g. \code{series = ~groupName}
#' @param size an array of html widget width and height(either numeric pixels 
#'   or percentage could be accepted): e.g. size = c(1024, 768).
#' @param ymin,ymax a numeric array with the same length of unique(xvar), to set the
#'   limitation for each polar axis limitation. if you want to set someone to be default
#'   limitation, you can set the given array index to NULL, examples input:
#'   \code{ymin = c(NULL, 1000, 2000, 3000)} 
#' @param  theme an object of theme name. see(\url{http://datatables.net/extensions/index}) for detail.
#'   supported theme: \code{c("default", "vintage", "dark", "westeros", "essos", "wonderland", "walden",
#'   "chalk", "infographic", "macarons", "roma", "shine", "purple-passion")}
#' @param title an overall title for the plot. you can modify title widget after chart has been
#'   generated: Echart + eTitle(title = "your title.")
#' @param title.x,title.y the xy coordinates of main title, besides the excat exact pixels value, 
#'   x accept c("left", "right", "center") and y accept c("top", "bottom", "center") as legal input. 
#'   you can modify title widget after chart has been generated: 
#'   \code{Echart + eTitle(title="main title", x = "left", y=10)}
#' @param legend logical whether the legend widget show or not, default is TRUE.
#'   you can modify legend widget after chart has been generated, the legend position and 
#'   legend orientation are available at present.
#'   \code{Echart + eLegend(show = TRUE)} 
#' @param legend.x,legend.y the xy coordinates of legend, besides the excat exact pixels value, 
#'   x accept c("left", "right", "center") and y accept c("top", "bottom", "center") as legal input. 
#'   you can modify legend widget after chart has been generated: 
#'   \code{Echart + eLegend(x = "right", y="top")}
#' @param legend.orient an element of c("horizontal", "vertical"), default is "horizontal"
#'   you can modify legend widget after chart has been generated: 
#'   \code{Echart + eLegend(orient = "vertical")}
#' @param toolbox logical whether the toolbox widget show or not, default is TRUE.
#'   you can modify toolbox widget after chart has been generated, the toolbox position, toolbox 
#'   element and toolbox orientation are available at present.  
#'   \code{Echart + eToolbox(show = TRUE)}
#' @param toolbox.x,toolbox.y the xy coordinates of toolbox, besides the excat exact pixels value, 
#'   x accept c("left", "right", "center") and y accept c("top", "bottom", "center") as legal input. 
#'   you can modify toolbox widget after chart has been generated: 
#'   \code{Echart + eToolbox(x = "right", y="top")}
#' @param toolbox.orient an element of c("horizontal", "vertical"), default is "horizontal"
#'   you can modify toolbox widget after chart has been generated: 
#'   \code{Echart + eToolbox(orient = "vertical")}
#' @param dataview,mark,restore,dataZoom,magicType logical variable whether the dataview
#'   , mark, restore, dataZoom or magicType tool in toolbox widget show or not, 
#'   default is TRUE. you can modify toolbox widget after chart has been generated, 
#'   the toolbox position, toolbox element and toolbox orientation are available at present.  
#'   \code{Echart + eToolbox(dataView = FALSE)}
#' @param tooltip logical whether the tooltip widget for front-end interactive chart
#'   show or not. default is TRUE. you can modify tooltip widget after chart has been generated, 
#'   the tooltip trigger and tooltip formatter is available at present.  
#'   \code{Echart + eTooltip(show = FALSE)}
#' @param tooltip.trigger an element of c("axis", "item"), default is "axis" for radar chart.
#'   "axis" option for trigger will show all the information of mouse;
#'   "item" option for tirgger will only show the given item information of mouse.
#'   you can modify tooltip widget after chart has been generated: 
#'   \code{Echart + eTooltip(trigger = "axis")}
#' @param tooltip.formatter the information formatter for tooltip widget, 
#'   default is "<a>:<b><c>" for radar chart.
#'   you can modify tooltip widget after chart has been generated: 
#'   \code{Echart + eTooltip(formatter = "<a><b>:<c>")}
#' @param calculable logical whether the front-end interactive chart will 
#'   support the drag-recalculable feature.
#'   the size and calculable option can be setted after radar chart has been 
#'   generated through eOption: \code{Echart + eOption(calculable = TRUE)}
#' @param showLabel logical whether the region name label showed on chart.
#'   default is TRUE, e.g. \code{Echart + eOption(showLabel = TRUE)}
#' @note You are recommended to use lazyPlot function for interactive chart
#'   option set through "shiny" server.
#' @export
#' @examples
#' require(plyr)
#' dat = ddply(iris, .(Species), colwise(mean))
#' rownames(dat) = dat[,1]
#' dat = dat[, -1]
#' dat
#' eRadar(dat)
#' df2 <- data.frame(
#'  saleNum=c(10,20,30,40,50,60,70,15,25,35,45,55,65,75,25,35,45,55,65,75,85),
#' 	seller=c(rep("Yellow",7), rep("Red",7), rep("White",7)),
#'	weekDay = c(rep(c("Mon","Tue","Wed","Thu","Fri","Sat","Sun"),3))
#' )
#' dat <- df2
#' xvar=~weekDay; yvar= ~saleNum; series=~seller
#' eRadar(df2, ~weekDay, ~saleNum, ~seller)



eRadar = function(dat, xvar=NULL, yvar=NULL, series=NULL, size = NULL, ymin=vector(), ymax=vector(),
	theme = "default", title = NULL, subtitle = NULL, title.x = "center", title.y = "top", 
	legend = TRUE, legend.data=NULL, legend.x = "left", legend.y= "top", legend.orient="horizontal", 
	toolbox = TRUE, toolbox.orient = "horizontal", toolbox.x = "right", toolbox.y = "top", 
	dataView = TRUE, readOnly = FALSE, mark=TRUE, dataZoom=FALSE, magicType=FALSE,
	tooltip = TRUE, tooltip.trigger="item", formatter="", axis.scale=TRUE,
	xlab=FALSE, ylab=FALSE,	calculable=TRUE, showLabel=TRUE, opt = list())
{
	xlabName = autoArgLabel(xvar, deparse(substitute(xvar)))
	ylabName = autoArgLabel(yvar, deparse(substitute(yvar)))

	xvar = as.factor(evalFormula(xvar, dat))
	yvar = evalFormula(yvar, dat)

	series = as.factor(evalFormula(series, dat))
	
	# data flow format..
	# if series is null, we will use the xvar and yvar to construct the bar plot..
	if(is.null(xvar) & is.null(yvar) & !is.factor(dat)){
		# Mode 1. use default data.frame as input...
		dat <- as.data.frame(dat, stringsAsFactor=F)
	}else if(!is.null(xvar) & !is.null(yvar) & !is.null(series)){
		#print("Mode1")
		# Mode 2. all of xvar, yvar and series are valid...
		dat <- with(dat, {
			out <- matrix(nrow=nlevels(series), ncol=nlevels(xvar),
						dimnames=list(levels(series), levels(xvar)))
			out[cbind(series, xvar)] <- yvar
			out
		})
		dat <- as.data.frame(dat)
	}else if(!is.null(xvar) & !is.null(yvar) & is.null(series)){
		# Mode 3. format dat with only x and y variable.
		dat <- data.frame(val = yvar)
		colnames(dat) <- ylabName
		rownames(dat) <- xvar
	}else if(is.null(xvar) & is.null(yvar) & is.factor(dat)){
		# Mode 4. factor
		tempD <- as.data.frame(table(dat))
		dat <- data.frame(val = tempD[,"Freq"])
		colnames(dat) <- "Frequency"
		rownames(dat) <- tempD[,1]
	}


	# option$title format.
	opt$title = tilteSet(title = title, subtitle=subtitle,
			title.x = title.x, title.y = title.y)

	opt$calculable = calculableSet(calculable = calculable)
	opt$theme = themeSet(theme = theme)

	# opt$tooltip format, not open to user now.
	opt$tooltip = tooltipSet( tooltip=tooltip,trigger=tooltip.trigger,
			formatter = "", islandFormatter="")

	opt$toolbox = toolboxSet(toolbox=toolbox, toolbox.x=toolbox.x, toolbox.y=toolbox.y, orient=toolbox.orient,
				dataView=dataView, mark=mark, dataZoom = dataZoom, magicType = magicType, restore = TRUE, readOnly = readOnly,
				saveAsImage=TRUE)

	if(missing(legend.data) | is.null(legend.data)){legendData = rownames(dat)
	}else{legendData = legend.data}

	opt$legend = legendSet( show=legend, data=legendData, legend.x=legend.x, legend.y=legend.y, orient=legend.orient)

	opt$polar = list(polarSet(name=colnames(dat), ymin=ymin, ymax=ymax))

	datList = vector("list", nrow(dat))
	for(i in 1:nrow(dat)){
		datList[[i]]$name  = rownames(dat)[i]
		datList[[i]]$value = unnames(unlist(dat[i,]))
	}
	names(datList) = NULL
	
	
	if(is.null(opt$series)) {
        opt$series = vector("list", 1)
    } 
    if(is.null(opt$series[[1]]$type)) {
        opt$series[[1]]$type =  'radar'
    }
    
    if(is.null(opt$series[[1]]$data)) {
        opt$series[[1]]$data = datList
    }

	opt$size = size
	
	### output list format
	chart = htmlwidgets::createWidget(
		'echarts', opt,
		package = 'recharts', width = size[1], height = size[2],
		preRenderHook = function(instance) {
			instance
		}
	)
	chart = .addClass(chart, "eRadar")
	# add theme dependencies
	chart = addThemeDependencies(chart)
	chart
}
cosname/recharts documentation built on Aug. 29, 2020, 9:47 a.m.