gvisComboChart: Google Combo Chart with R \Sexpr{googleChartName <-...

Usage Arguments Details Value Author(s) References See Also Examples

View source: R/gvisCoreCharts.R

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

Usage

1
gvisComboChart(data, xvar = "", yvar = "", options = list(), chartid)

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:

\Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{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

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.

Value

\Sexpr[results=rd]{paste(gvisChartName)}

returns list of class \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))}

Author(s)

Markus Gesmann [email protected],

Diego de Castillo [email protected]

References

Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))}

See Also

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

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
## 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)

googleVis documentation built on Nov. 12, 2018, 5:04 p.m.