library(rCharts)
library(ggplot2)
n1 <- nPlot(carat ~ cut , group = "color", data = diamonds[1:40,], type = "multiBarChart")
n1$print(include_assets=TRUE)
Plot
library(rCharts)
data(economics, package = 'ggplot2')
econ <- transform(economics, date = as.character(date))
m1 <- mPlot(x = 'date', y = c('psavert', 'uempmed'), type = 'Line',data = econ)
m1$set(pointSize = 2, lineWidth = 2)
m1$print(include_assets=TRUE)
Plot
library(googleVis)
T <- gvisTable(Exports, options = list(width = 200, height = 280))
G <- gvisGeoChart(Exports, locationvar = "Country", colorvar = "Profit",
options = list(width = 360, height = 280, dataMode = "regions"))
TG <- gvisMerge(T, G, horizontal = TRUE, tableOptions = "bgcolor=\"#CCCCCC\" cellspacing=10")
print(TG, "chart")
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library(googleVis)
M <- gvisMotionChart(Fruits, 'Fruit', 'Year', options=list(width=400, height=350))
print(M , 'chart')
library(XML)
library(googleVis)
Bubble <- gvisBubbleChart(Fruits, idvar="Fruit", xvar="Sales", yvar="Expenses",colorvar="Year",
sizevar="Profit", options=list(hAxis='{minValue:75, maxValue:125}'))
print(Bubble, 'chart')
PopTable <- gvisTable(Population, options = list(width = 600, height = 300,
page = "enable"))
print(PopTable, "chart")