googleVis (version 0.6.0)

gvisMerge: Merge two googleVis charts into one gvis-object

Description

gvisMerge merges two gvis-objects, either next or below each other into one gvis-object. The objects are arranged in a HTML table.

Usage

gvisMerge(x, y, horizontal = FALSE, tableOptions = "border=\"0\"", chartid)

Arguments

x

a gvis-object.

y

a gvis-object.

horizontal

boolean. Default FALSE. If FALSE the two gvis-objects are arranged below each other, otherwise next to each other.

tableOptions

a valid HTML table option string. Default "border=\"0\"".

chartid

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

Value

gvisMerge returns list of class "gvis" and "list".An object of class "gvis" is a list containing at least the following components:

type

Google visualisation type, here 'gvisMerge'

chartid

character id of the chart object. Unique chart ids are required to place several charts on the same page.

html

a list with the building blocks for a page

header

a character string of a html page header: ...,

chart

a named character vector of the chart's building blocks:

jsHeader

Opening .

jsChart

Call of the jsDisplayChart function.

divChart

container to embed the chart into the page.

caption

character string of a standard caption, including data name and chart id.

footer

character string of a html page footer: ..., including the used R and googleVis version and link to Google's Terms of Use.

References

Google Chart Tools API: https://developers.google.com/chart/

Follow the link for Google's data policy.

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 Internet
## connection to display the visualisation.

Pie1 <- gvisPieChart(CityPopularity)

## 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(gvisMerge(Pie2, Pie1, 
        tableOptions = "cellspacing=\"20\" bgcolor=\"#AABBCC\"",
        horizontal=TRUE))
               
## Nested charts               
               
G <- gvisGeoChart(Exports, "Country", "Profit", 
                  options=list(width=250, height=100))
T <- gvisTable(Exports, 
                  options=list(width=250, height=300))

GT <- gvisMerge(G,T, horizontal=FALSE) 
plot(GT)

M <- gvisMotionChart(Fruits, "Fruit", "Year",
                     options=list(width=400, height=410))

GTM <- gvisMerge(GT, M, horizontal=TRUE,
                     tableOptions="cellspacing=10")
plot(GTM)


line <- gvisLineChart(OpenClose, "Weekday", c("Open", "Close"), 
        options=list(legend='none', width=300, height=150))
column <- gvisColumnChart(OpenClose, "Weekday", c("Open", "Close"),
              options=list(legend='none', width=300, height=150))
area <- gvisAreaChart(OpenClose, "Weekday", c("Open", "Close"),
              options=list(legend='none', width=300, height=150))
bar <- gvisBarChart(OpenClose, "Weekday", c("Open", "Close"),
              options=list(legend='none', width=300, height=150))
LBCA <- gvisMerge(gvisMerge(line, bar), gvisMerge(column, area),
                  horizontal=TRUE, tableOptions="bgcolor=\"#AABBCC\"") 

plot(LBCA)

## Applying gvisMerge successively

p <- Reduce(gvisMerge, list(line, column, area, bar))
plot(p)