if (FALSE) {
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)
}
if (FALSE) {
library(grid)
## l_pairs (scatterplot matrix) examples
p <- l_pairs(iris[,-5], color=iris$Species)
lgrob <- loonGrob(p)
grid.newpage()
grid.draw(lgrob)
## Time series decomposition examples
decompose <- decompose(co2)
# or decompose <- stl(co2, "per")
p <- l_plot(decompose, title = "Atmospheric carbon dioxide over Mauna Loa")
# To print directly use either
plot(p)
# or
grid.loon(p)
# or to save structure
lgrob <- loonGrob(p)
grid.newpage()
grid.draw(lgrob)
}
if (FALSE) {
## graph examples
G <- completegraph(names(iris[,-5]))
LG <- linegraph(G)
g <- l_graph(LG)
nav0 <- l_navigator_add(g)
l_configure(nav0, label = 0)
con0 <- l_context_add_geodesic2d(navigator=nav0, data=iris[,-5])
nav1 <- l_navigator_add(g, from = "Sepal.Length:Petal.Width",
to = "Petal.Length:Petal.Width", proportion = 0.6)
l_configure(nav1, label = 1)
con1 <- l_context_add_geodesic2d(navigator=nav1, data=iris[,-5])
nav2 <- l_navigator_add(g, from = "Sepal.Length:Petal.Length",
to = "Sepal.Width:Petal.Length", proportion = 0.5)
l_configure(nav2, label = 2)
con2 <- l_context_add_geodesic2d(navigator=nav2, data=iris[,-5])
# To print directly use either
plot(g)
# or
grid.loon(g)
# or to save structure
library(grid)
lgrob <- loonGrob(g)
grid.newpage(); grid.draw(lgrob)
}
if (FALSE) {
## histogram examples
h <- l_hist(iris$Sepal.Length, color=iris$Species)
g <- loonGrob(h)
library(grid)
grid.newpage(); grid.draw(g)
h['showStackedColors'] <- TRUE
g <- loonGrob(h)
grid.newpage(); grid.draw(g)
h['colorStackingOrder'] <- c("selected", unique(h['color']))
g <- loonGrob(h)
grid.newpage(); grid.draw(g)
h['colorStackingOrder'] <- rev(h['colorStackingOrder'])
# To print directly use either
plot(h)
# or
grid.loon(h)
}
if(interactive()) {
## l_plot scatterplot examples
p <- l_plot(x = c(0,1), y = c(0,1))
l_layer_rectangle(p, x = c(0,1), y = c(0,1))
g <- loonGrob(p)
library(grid)
grid.newpage(); grid.draw(g)
p['glyph'] <- "ctriangle"
p['color'] <- "blue"
p['size'] <- c(10, 20)
p['selected'] <- c(TRUE, FALSE)
g <- loonGrob(p)
grid.newpage(); grid.draw(g)
}
if (FALSE) {
## navgraph examples
ng <- l_navgraph(oliveAcids, separator='-', color=olive$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)
}
## 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)
}
if (FALSE) {
## 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)
}
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