loon.ggplot (version 1.3.4)

ggplot2loon: ggplot to loon

Description

Create an interactive `loon` widget from a ggplot object

Usage

ggplot2loon(
  ggObj,
  ...,
  activeGeomLayers = integer(0),
  layerId = NULL,
  scaleToFun = NULL,
  ggGuides = FALSE,
  parent = NULL,
  pack = TRUE,
  exteriorLabelProportion = 1/5,
  canvasHeight = 700,
  canvasWidth = 850,
  tkLabels = NULL
)

Value

a loon single widget or a compound object

Arguments

ggObj

a ggplot or ggmatrix object

...

named arguments to modify loon plot states

activeGeomLayers

to determine which geom layer is active. Only geom_point() and geom_histogram() can be set as active geom layer(s) so far. (Notice, more than one geom_point() layers can be set as active layers, but only one geom_histogram() can be set as an active geom layer)

layerId

numerical; which layer to scale to

scaleToFun

scale to function. See zoom.

ggGuides

logical (default FALSE) to determine whether to draw a ggplot background or not.

parent

parent widget path (Tk toplevel)

pack

logical (default TRUE) to pack widgets. If FALSE, widgets will be produced but won't be packed and so will not appear in the display.

exteriorLabelProportion

space assigned to the vertical height/horizontal width of each exterior label expressed as a proportion of a single plot's height/width. Default is 0.2. This is translated to a row/column span = 1 / exteriorLabelProportion for the plot size in tkgrid().

canvasHeight

the height of canvas

canvasWidth

the width of canvas

tkLabels

Deprecated: logical (or NULL) to indicate whether the plot(s) are to be wrapped by exterior labels (title, subtitle, xlabel or ylabel) using tk.grid()

Examples

if(interactive()) {
p <- ggplot(mtcars, aes(wt, mpg)) + geom_point()
g <- ggplot2loon(p)

p1 <- ggplot(mtcars) +
        geom_point(aes(x = wt, y = mpg,
                       colour = factor(gear))) +
        facet_wrap(~am)
g1 <- ggplot2loon(p1)
# \donttest{
df <- data.frame(
  x = rnorm(120, c(0, 2, 4)),
  y = rnorm(120, c(1, 2, 1)),
  z = letters[1:3]
)
df2 <- dplyr::select(df, -z)
scatterplots <- ggplot(df, aes(x, y)) +
  geom_point(data = df2, colour = "grey70") +
  geom_point(aes(colour = z)) +
  facet_wrap(~z)

# The first point layer is set as the model layer
suppressWarnings(
  lp_scatterplots_active1 <- ggplot2loon(scatterplots,
                               activeGeomLayers = 1,
                               linkingGroup = "test")
)
# Here, the gray points are interactive (not the colourful ones)

# The second point layer is set as the model layer
lp_scatterplots_active2 <- ggplot2loon(scatterplots,
                                       activeGeomLayers = 2)
# Here, the colourful points are interactive

# Both point layers could be interactive
suppressWarnings(
 lp_scatterplots_active12 <- ggplot2loon(scatterplots,
                                         activeGeomLayers = c(1,2))
)
# Here, all points are interactive

########### ggmatrix to loon ###########
if(requireNamespace("GGally")) {
pm <- GGally::ggpairs(iris, column = 1:4,
                      ggplot2::aes(colour=Species))
lg <- ggplot2loon(pm)
}

########### patchwork to loon ###########
if(requireNamespace("patchwork")) {
p1 <- ggplot(mtcars) +
   geom_point(aes(mpg, disp))
p2 <- ggplot(mtcars) +
   geom_boxplot(aes(gear, disp, group = gear))
# place two plots side by side
patchwork <- p1 + p2
ggplot2loon(patchwork)
# See vignette `ggplots --> loon plots` for more details
}
# }
}