Description Usage Arguments Value Author(s) References See Also Examples
A chart that lets you render each series as a different marker type from the following list: columns, lines, and area lines.
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.
1 | gvisComboChart(data, xvar = "", yvar = "", options = list(), chartid)
|
data |
a |
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 for Google Combo Chart.
Further possible components are, taken from https://google-developers.appspot.com/chart/interactive/docs/gallery/combochart.html#Configuration_Options:
|
chartid |
character. If missing (default) a random chart id will be generated based on
chart type and |
gvisComboChart
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 'ComboChart' |
|
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
|
Markus Gesmann markus.gesmann@gmail.com,
Diego de Castillo decastillo@gmail.com
Google Combo Chart API: http://code.google.com/apis/chart/interactive/docs/gallery/combochart.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 | ## 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)
|
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