googleVis (version 0.7.3)

gvisComboChart: Google Combo Chart with R googleChartName <- "combochart" gvisChartName <- "gvisComboChart"

Description

A chart that lets you render each series as a different marker type from the following list: columns, lines, and area lines.

Usage

gvisComboChart(data, xvar = "", yvar = "", options = list(), chartid)

Value

paste(gvisChartName) returns list of class

paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))

Arguments

data

a data.frame to be displayed as a columns, line and area chart.

xvar

name of the character column which contains the category labels for the x-axes.

yvar

a vector of column names of the numerical variables to be plotted. Each column is displayed as a separate column, line or area series.

options

list of configuration options, see:

gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))

paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))

chartid

character. If missing (default) a random chart id will be generated based on chart type and tempfile

Author

Markus Gesmann ,

Diego de Castillo

Details

The gvisComboChart function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. The actual chart is rendered by the web browser using SVG or VML.

References

Google Chart Tools API: gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))

See Also

See also print.gvis, plot.gvis for printing and plotting methods

Examples

## Please note that by default the googleVis plot command
## will open a browser window and requires an internet
## connection to display the visualisation.

CityPopularity
## Add the mean
CityPopularity$Mean=mean(CityPopularity$Popularity)

C1 <- gvisComboChart(CityPopularity, xvar="City",
                                     yvar=c("Mean", "Popularity"),
                                   options=list(seriesType="bars",
                                                title="City Popularity",
                                                series='{0: {type:"line"}}'))
plot(C1)

## Changing the width of columsn
C2 <- gvisComboChart(CityPopularity, xvar="City",
                                     yvar=c("Mean", "Popularity"),
                                   options=list(seriesType="bars",
                                                bar="{groupWidth:'100%'}",
                                                title="City Popularity",
                                                series='{0: {type:"line"}}'))
plot(C2)