Description Usage Arguments Value Warning Author(s) References See Also Examples
View source: R/gvisPieGaugeChart.R
The gvisPieChart 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.
| 1 | gvisPieChart(data, labelvar = "", numvar = "", options = list(), chartid)
 | 
| data | a  | 
| labelvar | Name of the character column which contains the category labels for the slice labels. | 
| numvar | a vector of column names of the numerical variables of the slice values. | 
| options | list of configuration options for Google Pie Chart. 
 Further possible components are, taken from https://google-developers.appspot.com/chart/interactive/docs/gallery/piechart.html#Configuration_Options: 
 | 
| chartid | character. If missing (default) a random chart id will be generated based on
chart type and  | 
gvisPieChart returns list of class
"gvis" and "list".   
An object of class "gvis" is a list containing at least the
following components:
|  | Google visualisation type, here 'PieChart' | 
|  | character id of the chart object. Unique chart ids are required to place several charts on the same page. | 
|  | a list with the building blocks for a page 
 | 
Google Visualisation API: You cannot load both piechart and corechart packages at the same time on the same page.
Markus Gesmann markus.gesmann@gmail.com,
Diego de Castillo decastillo@gmail.com
Google Pie Chart API: http://code.google.com/apis/chart/interactive/docs/gallery/piechart.html
Follow the link for Google's data policy.
See also print.gvis, plot.gvis for
printing and plotting methods
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ## Please note that by default the googleVis plot command
## will open a browser window and requires an internet
## connection to display the visualisation.
Pie1 <- gvisPieChart(CityPopularity)
plot(Pie1)
## Doughnut chart - a pie with a hole
Pie2 <- gvisPieChart(CityPopularity, options=list(
                    slices="{4: {offset: 0.2}, 0: {offset: 0.3}}",
                    title='City popularity',
                    legend='none',
                    pieSliceText='label',
                    pieHole=0.5))
plot(Pie2)
 | 
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