googleVis (version 0.7.1)

gvisColumnChart: Google Column Chart with R googleChartName <- "columnchart" gvisChartName <- "gvisColumnChart"

Description

The gvisColumnChart 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.

Usage

gvisColumnChart(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 column 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 bar/column.

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 markus.gesmann@gmail.com,

Diego de Castillo decastillo@gmail.com

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

Run this code

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

df=data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val2=c(23,12,32))

## Column chart
Col1 <- gvisColumnChart(df, xvar="country", yvar=c("val1", "val2"))
plot(Col1)

## Stacked column chart
Col2 <- gvisColumnChart(df, xvar="country", yvar=c("val1", "val2"),
     options=list(isStacked=TRUE))
plot(Col2)


## Add a customised title and and change width of columns
Col3 <- gvisColumnChart(df, xvar="country", yvar=c("val1", "val2"),
             options=list(title="Hello World",
                          titleTextStyle="{color:'red',fontName:'Courier',fontSize:16}",
                          bar="{groupWidth:'100%'}"))
plot(Col3)

if (FALSE) {
## Change y-axis to percentages
Col4 <- gvisColumnChart(df, xvar="country", yvar=c("val1", "val2"),
                       options=list(vAxis="{format:'#,###%'}"))
plot(Col4)
}


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