loonGrob: Create a grid grob from a loon widget handle

In loon: Interactive Statistical Data Visualization

Create a grid grob from a loon widget handle

Description

Grid grobs are useful to create publication quality graphics.

Usage

loonGrob(target, name = NULL, gp = NULL, vp = NULL)

## S3 method for class 'l_compound'
loonGrob(target, name = NULL, gp = NULL, vp = NULL)

## S3 method for class 'l_layer_graph'
loonGrob(target, name = NULL, gp = NULL, vp = NULL)

## S3 method for class 'l_layer_histogram'
loonGrob(target, name = NULL, gp = NULL, vp = NULL)

## S3 method for class 'l_layer_scatterplot'
loonGrob(target, name = NULL, gp = NULL, vp = NULL)

## S3 method for class 'l_navgraph'
loonGrob(target, name = NULL, gp = NULL, vp = NULL)

## S3 method for class 'l_navigator'
loonGrob(target, name = NULL, gp = NULL, vp = NULL)

## S3 method for class 'l_serialaxes'
loonGrob(target, name = NULL, gp = NULL, vp = NULL)

## S3 method for class 'l_ts'
loonGrob(target, name = NULL, gp = NULL, vp = NULL)

Arguments

target	either an object of class loon or a vector that specifies the widget, layer, glyph, navigator or context completely. The widget is specified by the widget path name (e.g. '.l0.plot'), the remaining objects by their ids.
name	a character identifier for the grob, or NULL. Used to find the grob on the display list and/or as a child of another grob.
gp	a gpar object, or NULL, typically the output from a call to the function gpar. This is basically a list of graphical parameter settings.
vp	a grid viewport object (or NULL).

Value

a grid grob

See Also

grid.loon

Examples

## Not run: 
widget <- with(iris, l_plot(Sepal.Length, Sepal.Width))

lgrob <- loonGrob(widget)

library(grid)
grid.ls(lgrob, viewports=TRUE, fullNames=TRUE)
grid.newpage(); grid.draw(lgrob)

p <- demo("l_layers", ask = FALSE)$value

lgrob <- loonGrob(p)
grid.newpage(); grid.draw(lgrob)

p <- demo("l_glyph_sizes", ask = FALSE)$value

lgrob <- loonGrob(p)
grid.newpage()
grid.draw(lgrob)

## End(Not run)


## Not run: 

library(grid)
## l_pairs (scatterplot matrix) examples

p <- l_pairs(iris[,-5], color=iris$Species)

lgrob <- loonGrob(p)
grid.newpage()
grid.draw(lgrob)

## Time series decomposition examples

decompose <- decompose(co2)
# or decompose <- stl(co2, "per")
p <- l_plot(decompose, title = "Atmospheric carbon dioxide over Mauna Loa")

# To print directly use either
plot(p)
# or
grid.loon(p)
# or to save structure
lgrob <- loonGrob(p)
grid.newpage()
grid.draw(lgrob)

## End(Not run)


## Not run: 
## graph examples

G <- completegraph(names(iris[,-5]))
LG <- linegraph(G)
g <- l_graph(LG)

nav0 <- l_navigator_add(g)
l_configure(nav0, label = 0)
con0 <- l_context_add_geodesic2d(navigator=nav0, data=iris[,-5])

nav1 <- l_navigator_add(g, from = "Sepal.Length:Petal.Width",
  to = "Petal.Length:Petal.Width", proportion = 0.6)
l_configure(nav1, label = 1)
con1 <- l_context_add_geodesic2d(navigator=nav1, data=iris[,-5])

nav2 <- l_navigator_add(g, from = "Sepal.Length:Petal.Length",
  to = "Sepal.Width:Petal.Length", proportion = 0.5)
l_configure(nav2, label = 2)
con2 <- l_context_add_geodesic2d(navigator=nav2, data=iris[,-5])

# To print directly use either
plot(g)
# or
grid.loon(g)
# or to save structure
library(grid)
lgrob <- loonGrob(g)
grid.newpage(); grid.draw(lgrob)

## End(Not run)


## Not run: 
## histogram examples

h <- l_hist(iris$Sepal.Length, color=iris$Species)

g <- loonGrob(h)

library(grid)
grid.newpage(); grid.draw(g)

h['showStackedColors'] <- TRUE

g <- loonGrob(h)

grid.newpage(); grid.draw(g)

h['colorStackingOrder'] <- c("selected", unique(h['color']))

g <- loonGrob(h)
grid.newpage(); grid.draw(g)

h['colorStackingOrder'] <- rev(h['colorStackingOrder'])

# To print directly use either
plot(h)
# or
grid.loon(h)

## End(Not run)

if(interactive()) {

## l_plot scatterplot examples

p <- l_plot(x = c(0,1), y = c(0,1))
l_layer_rectangle(p, x = c(0,1), y = c(0,1))

g <- loonGrob(p)

library(grid)
grid.newpage(); grid.draw(g)

p['glyph'] <- "ctriangle"
p['color'] <- "blue"
p['size'] <- c(10, 20)
p['selected'] <- c(TRUE, FALSE)
g <- loonGrob(p)
grid.newpage(); grid.draw(g)
}

## Not run: 
## navgraph examples

ng <- l_navgraph(oliveAcids, separator='-', color=olive$Area)

# To print directly use either
plot(ng)
# or
grid.loon(ng)
# or to save structure
lgrob <- loonGrob(ng)
library(grid)
grid.newpage()
grid.draw(lgrob)

## End(Not run)


## Serial axes (radial and parallel coordinate) examples
if(interactive()) {
  s <- l_serialaxes(data=oliveAcids, color=olive$Area, title="olive data")
  sGrob_radial <- loonGrob(s)
  library(grid)
  grid.newpage(); grid.draw(sGrob_radial)
  s['axesLayout'] <- 'parallel'
  sGrob_parallel <- loonGrob(s)
  grid.newpage(); grid.draw(sGrob_parallel)
}


## Not run: 

## Time series decomposition examples

decompose <- decompose(co2)
# or decompose <- stl(co2, "per")
p <- l_plot(decompose, title = "Atmospheric carbon dioxide over Mauna Loa")

# To print directly use either
plot(p)
# or
grid.loon(p)
# or to save structure
lgrob <- loonGrob(p)
grid.newpage()
grid.draw(lgrob)

## End(Not run)

loon documentation built on July 9, 2023, 5:48 p.m.