Nothing
inst/doc/ggplot2loon.R
In loon.ggplot: A Grammar of Interactive Graphics
## ----setup, include=FALSE, warning=FALSE--------------------------------------
library(knitr)
knitr::opts_chunk$set(echo = TRUE,
warning = FALSE,
message = FALSE,
fig.align = "center",
fig.width = 6,
fig.height = 5,
out.width = "60%",
collapse = TRUE,
comment = "#>",
tidy.opts = list(width.cutoff = 65),
tidy = FALSE)
set.seed(12314159)
imageDirectory <- file.path(".", "images", "ggplots2loon")
library(ggplot2, quietly = TRUE)
library(dplyr, quietly = TRUE)
library(magrittr, quietly = TRUE)
library(loon, quietly = TRUE)
library(patchwork, quietly = TRUE)
## ----mpg_vs_wt, message = FALSE, warning = FALSE------------------------------
p1 <- ggplot(mtcars, aes(wt, mpg)) + geom_point()
## ----mpg_vs_wt_ggplot_display, message = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
p1
## ----hp_ggplot, message = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
h1 <- ggplot(mtcars, aes(hp)) + geom_histogram(bins = 30)
## ----hp_ggplot_display, message = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
h1
## ----mpg_vs_wt_loon_display, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# library(loon.ggplot)
# l_p1 <- ggplot2loon(p1) # the scatterplot
# l_h1 <- ggplot2loon(h1) # the histogram
## ----grid_version_of_l_p1, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 4, fig.align = "center", out.width = "50%"----
# grid.loon(l_p1)
## ----grid_version_of_l_p1_graph, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 6, fig.align = "center", fig.caption = "Loon inspector Layers tab for l_p_fit`", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_plot_l_p1.png"))
## ----grid_version_of_l_h1, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 4, fig.align = "center", out.width = "50%"----
# plot(l_h1) # equivalent to grid.loon(l_h1)
## ----grid_version_of_l_h1_graph, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 6, fig.align = "center", fig.caption = "Loon inspector Layers tab for l_p_fit`", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_hist_l_h1.png"))
## ----inspector_of_l_p1, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 4, fig.align = "center", fig.caption = "Loon inspector for the scatterplot l_p`", out.width = "25%"----
include_graphics(file.path(imageDirectory, "inspector_l_p1.png"))
## ----loon_data_structure, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# class(l_p1)
# l_p1
# # [1] "l_plot" "loon"
# # [1] ".l0.ggplot.plot"
# # attr(,"class")
# # [1] "l_plot" "loon"
## ----loon_scale_to_plot, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# l_scaleto_plot(l_p1)
## ----loon_names, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# names(l_p1)
## ----showGuides, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# l_p1["showGuides"]
# # [1] TRUE
## ----change_showGuides, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# # Turn the guides off
# l_p1["showGuides"] <- FALSE
# # Turn the guides on again
# l_p1["showGuides"] <- TRUE
## ----title, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# l_p1["title"] <- "1974 Motor Trend Car Road Tests"
# l_p1["xlabel"] <- "Curb weight (1000s of lbs)"
# l_p1["ylabel"] <- "Gas mileage (miles per US gallon)"
# newlabels <- paste0(rownames(mtcars), "\n ",
# c("V-", "straight-")[mtcars$vs + 1], mtcars$cyl, " \n ",
# mtcars$disp, " cubic inch \n ",
# mtcars$gear, " speed \n ",
# c("automatic", "manual")[mtcars$am + 1]
# )
# l_p1["itemLabel"] <- newlabels
# l_p1["showItemLabels"] <- TRUE
## ----grouping_by_colour_and_symbol, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# l_p1["size"] <- 10
# l_p1["glyph"][mtcars$am == 0] <- "ccircle"
# l_p1["glyph"][mtcars$am == 1] <- "triangle"
# gears <- sort(unique(mtcars$gear))
# ngears <- length(gears)
# cols <- c("lightblue", "steelblue", "black")
# for (i in 1:ngears) {
# l_p1["color"][mtcars$gear == gears[i]] <- cols[i]
# }
## ----high_gear_manual, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# l_p1["active"] <- l_p1["color"] == l_hexcolor("black")
# l_scaleto_active(l_p1)
# l_p1["title"] <- "5 speed manual transmission"
## ----high_gear_manual_grid_plot, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# plot(l_p1)
## ----high_gear_manual_grid_plot_graph, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 6, fig.align = "center", fig.caption = "Loon inspector for the scatterplot l_p`", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_plot_l_p1_zoomIn.png"))
## ----Back_to_all_points, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_p1["active"] <- TRUE
# l_scaleto_plot(l_p1)
# l_p1["title"] <- "All points again"
# plot(l_p1)
## ----Back_to_all_points_graph, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 6, fig.align = "center", fig.caption = "Loon inspector for the scatterplot l_p`", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_plot_l_p1_zoomOut.png"))
## ----set_initial_linking_Group, eval = FALSE----------------------------------
# l_p1["linkingGroup"] <- "Motor Trend 1974"
## ----l_configure_linking_Group, eval = FALSE----------------------------------
# l_configure(l_h1, linkingGroup = "Motor Trend 1974", sync = "pull")
## ----stacked_colours_plot, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_h1["showStackedColors"] <- TRUE
# plot(l_h1)
## ----stacked_colours_plot_graph, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 6, fig.align = "center", fig.caption = "Loon inspector for the scatterplot l_p`", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_hist_l_h1_stacked_colours.png"))
## ----ggplot_acceleration, message = FALSE, warning = FALSE, fig.width = 6, fig.height = 5, fig.align = "center", out.width = "50%"----
# First using another ggplot
p2 <- ggplot(mtcars, aes(x = drat, y = qsec)) + geom_point()
## ----ggplot_p2, message = FALSE, warning = FALSE, fig.width = 6, fig.height = 5, fig.align = "center", out.width = "50%"----
p2
## ----stacked_colours_linking, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_p2 <- ggplot2loon(p2,
# linkingGroup = "Motor Trend 1974",
# title = "Acceleration measures",
# xlabel = "Drive axle ratio",
# ylabel = "Quarter mile (seconds)",
# itemLabel = newlabels)
## ----loon_plot_l_p2, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# plot(l_p2)
## ----loon_plot_l_p2_graph, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 6, fig.align = "center", fig.caption = "Loon inspector for the scatterplot l_p`", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_plot_l_p2.png"))
## ----default_linked_states_l_plot, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 6, fig.height = 5, fig.align = "center", out.width = "50%"----
# l_getLinkedStates(l_p1)
# # [1] "color" "selected" "active" "size"
## ----default_linked_states_l_hist, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 6, fig.height = 5, fig.align = "center", out.width = "50%"----
# l_getLinkedStates(l_h1)
# # [1] "color" "selected" "active"
## ----remove_active_from_linked_states, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_setLinkedStates(l_p1, c("color", "selected", "size"))
## ----add_glyph_to_linked_states, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_setLinkedStates(l_p1, c("glyph", "active", l_getLinkedStates(l_p1)))
# l_setLinkedStates(l_p2, c("glyph", l_getLinkedStates(l_p2)))
## ----change_glyphs, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# triangles <- l_p1["glyph"] == "triangle"
# l_p1["glyph"][triangles] <- "ctriangle"
## ----changed_glyphs_l_p1, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# plot(l_p1)
## ----changed_glyphs_l_p1_graph, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 6, fig.align = "center", fig.caption = "Loon inspector for the scatterplot l_p`", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_plot_l_p1_changed_glyphs.png"))
## ----changed_glyphs_l_p2, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# plot(l_p2)
## ----changed_glyphs_l_p2_graph, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 6, fig.align = "center", fig.caption = "Loon inspector for the scatterplot l_p`", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_plot_l_p2_changed_glyphs.png"))
## ----mtcars_smooth, message = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
p_fit <- ggplot(mtcars, aes(drat, mpg)) + geom_smooth() + geom_point()
p_fit
## ----loon_mtcars_smooth, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_p_fit <- ggplot2loon(p_fit)
## ----inspector_of_l_p_fit, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 4, fig.align = "center", fig.caption = "Loon inspector Layers tab for l_p_fit`", out.width = "25%"----
include_graphics(file.path(imageDirectory, "inspector_l_p_fit.png"))
## ----lower_layer, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_layer_lower(l_p_fit, "model")
## ----raise_layer, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_layer_raise(l_p_fit, "model")
## ----multiple_geoms, message = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
p_hdp <- ggplot(mtcars, aes(x = wt, y = ..density..)) +
geom_histogram(binwidth = 0.5,
fill = "grey",
color = "red") +
geom_density(color = "firebrick", lwd = 1.5) +
geom_point(data = data.frame(x = mtcars$wt, y = 0),
mapping = aes(x, y),
color = "firebrick", size = 3)
# the ggplot
p_hdp
## ----active_selected_geoms, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# # To have the the histogram active (the first geom in p_hdp)
# l_p_Hdp <- ggplot2loon(p_hdp, activeGeomLayers = 1,
# linkingGroup = "Motor Trend 1974")
# # The following creates an error because the line for the density
# # is not currently a possible model layer in loon
# # ggplot2loon(p_hdp, activeGeomLayers = 2,
# # linkingGroup = "Motor Trend 1974")
# #
# # To have the points be active (the third geom in p_hdp)
# l_p_hdP <- ggplot2loon(p_hdp, activeGeomLayers = 3,
# linkingGroup = "Motor Trend 1974")
## ----multiple_geom_points, message = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
pgps <- ggplot(mtcars, aes(x = wt, y = mpg)) +
geom_point(data = subset(mtcars, gear == 3), col = "firebrick") +
geom_point(data = subset(mtcars, gear == 4), col = "steelblue") +
geom_point(data = subset(mtcars, gear == 5), col = "black")
pgps
## ----loon_multiple geom_points, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_pgps.1 <- ggplot2loon(pgps, linkingGroup = "Motor Trend 1974")
# l_pgps.13 <- ggplot2loon(pgps, activeGeomLayers = c(1,3),
# linkingGroup = "Motor Trend 1974")
# l_pgps.123 <- ggplot2loon(pgps, activeGeomLayers = c(1, 2, 3),
# linkingGroup = "Motor Trend 1974")
## ----linking_Key_l_p1, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# # this group's linking keys can be found from l_p1
# groupKeys <- l_p1["linkingKey"]
## ----linking_subsets, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# # the subsets were defined as
# dataGeom1 <- mtcars$gear == 3
# dataGeom2 <- mtcars$gear == 4
# dataGeom3 <- mtcars$gear == 5
## ----linking_Key_setting, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_configure(l_pgps.1,
# linkingKey = groupKeys[dataGeom1],
# sync = "pull")
# l_configure(l_pgps.13,
# linkingKey = c(groupKeys[dataGeom1],
# groupKeys[dataGeom3]),
# sync = "pull")
# l_configure(l_pgps.123,
# linkingKey = c(groupKeys[dataGeom1],
# groupKeys[dataGeom2],
# groupKeys[dataGeom3]),
# sync = "pull")
## ----linking_Key_initialized, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_pgps.23 <- ggplot2loon(pgps,
# linkingGroup = "Motor Trend 1974",
# activeGeomLayers = c(2,3),
# linkingKey = c(groupKeys[dataGeom2],
# groupKeys[dataGeom3])
# )
## ----fwrap, message = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
fwrap <- ggplot(mtcars, aes(x = wt, y = mpg)) +
geom_point() +
facet_wrap(~ gear + am)
fwrap
## ----l_fwrap, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_fwrap <- ggplot2loon(fwrap, linkingGroup = "Motor Trend 1974")
## ----linking_Key_fwrap, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_fwrap.png"))
## ----class_l_fwrap, eval = FALSE----------------------------------------------
# class(l_fwrap)
# # [1] "l_ggplot" "l_compound" "loon"
## ----l_getPlots, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_getPlots(l_fwrap)
## ----l_getLocations, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_getLocations(l_fwrap)
# # [,1] [,2]
# # [1,] 1 2
# # [2,] 3 4
## ----patchwork, message = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
library(patchwork)
p1 <- ggplot(mtcars) + geom_point(aes(mpg, disp))
p2 <- ggplot(mtcars) + geom_boxplot(aes(gear, disp, group = gear))
patchwork <- p1 + p2 # two plots are placed side by side
patchwork
## ----patchwork to loon, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_patchwork <- ggplot2loon(patchwork)
# class(l_patchwork)
# # [1] "l_patchwork" "l_compound" "loon"
## ----patchwork linkingGroup, eval = FALSE, message = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# ggplot2loon(patchwork, linkingGroup = "none") # un-linked
# ggplot2loon(patchwork, linkingGroup = "Motor Trend 1974") # join another group
## ----patchwork complex design, message = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
p3 <- ggplot(mtcars) + geom_smooth(aes(disp, qsec))
pp <- (p1 | p2) / p3
pp
## ----patchwork fail, eval = FALSE, message = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# # ERROR
# ggplot2loon(pp)
## ----patchwork success, eval = FALSE, message = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# design <- c(
# area(1,1),
# area(1,2),
# area(2,1,2,2)
# )
# pp <- p1 + p2 + p3 + plot_layout(design = design)
# # Success!
# ggplot2loon(pp)
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## ----setup, include=FALSE, warning=FALSE--------------------------------------
library(knitr)
knitr::opts_chunk$set(echo = TRUE,
warning = FALSE,
message = FALSE,
fig.align = "center",
fig.width = 6,
fig.height = 5,
out.width = "60%",
collapse = TRUE,
comment = "#>",
tidy.opts = list(width.cutoff = 65),
tidy = FALSE)
set.seed(12314159)
imageDirectory <- file.path(".", "images", "ggplots2loon")
library(ggplot2, quietly = TRUE)
library(dplyr, quietly = TRUE)
library(magrittr, quietly = TRUE)
library(loon, quietly = TRUE)
library(patchwork, quietly = TRUE)
## ----mpg_vs_wt, message = FALSE, warning = FALSE------------------------------
p1 <- ggplot(mtcars, aes(wt, mpg)) + geom_point()
## ----mpg_vs_wt_ggplot_display, message = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
p1
## ----hp_ggplot, message = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
h1 <- ggplot(mtcars, aes(hp)) + geom_histogram(bins = 30)
## ----hp_ggplot_display, message = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
h1
## ----mpg_vs_wt_loon_display, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# library(loon.ggplot)
# l_p1 <- ggplot2loon(p1) # the scatterplot
# l_h1 <- ggplot2loon(h1) # the histogram
## ----grid_version_of_l_p1, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 4, fig.align = "center", out.width = "50%"----
# grid.loon(l_p1)
## ----grid_version_of_l_p1_graph, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 6, fig.align = "center", fig.caption = "Loon inspector Layers tab for l_p_fit`", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_plot_l_p1.png"))
## ----grid_version_of_l_h1, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 4, fig.align = "center", out.width = "50%"----
# plot(l_h1) # equivalent to grid.loon(l_h1)
## ----grid_version_of_l_h1_graph, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 6, fig.align = "center", fig.caption = "Loon inspector Layers tab for l_p_fit`", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_hist_l_h1.png"))
## ----inspector_of_l_p1, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 4, fig.align = "center", fig.caption = "Loon inspector for the scatterplot l_p`", out.width = "25%"----
include_graphics(file.path(imageDirectory, "inspector_l_p1.png"))
## ----loon_data_structure, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# class(l_p1)
# l_p1
# # [1] "l_plot" "loon"
# # [1] ".l0.ggplot.plot"
# # attr(,"class")
# # [1] "l_plot" "loon"
## ----loon_scale_to_plot, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# l_scaleto_plot(l_p1)
## ----loon_names, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# names(l_p1)
## ----showGuides, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# l_p1["showGuides"]
# # [1] TRUE
## ----change_showGuides, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# # Turn the guides off
# l_p1["showGuides"] <- FALSE
# # Turn the guides on again
# l_p1["showGuides"] <- TRUE
## ----title, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# l_p1["title"] <- "1974 Motor Trend Car Road Tests"
# l_p1["xlabel"] <- "Curb weight (1000s of lbs)"
# l_p1["ylabel"] <- "Gas mileage (miles per US gallon)"
# newlabels <- paste0(rownames(mtcars), "\n ",
# c("V-", "straight-")[mtcars$vs + 1], mtcars$cyl, " \n ",
# mtcars$disp, " cubic inch \n ",
# mtcars$gear, " speed \n ",
# c("automatic", "manual")[mtcars$am + 1]
# )
# l_p1["itemLabel"] <- newlabels
# l_p1["showItemLabels"] <- TRUE
## ----grouping_by_colour_and_symbol, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# l_p1["size"] <- 10
# l_p1["glyph"][mtcars$am == 0] <- "ccircle"
# l_p1["glyph"][mtcars$am == 1] <- "triangle"
# gears <- sort(unique(mtcars$gear))
# ngears <- length(gears)
# cols <- c("lightblue", "steelblue", "black")
# for (i in 1:ngears) {
# l_p1["color"][mtcars$gear == gears[i]] <- cols[i]
# }
## ----high_gear_manual, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
# l_p1["active"] <- l_p1["color"] == l_hexcolor("black")
# l_scaleto_active(l_p1)
# l_p1["title"] <- "5 speed manual transmission"
## ----high_gear_manual_grid_plot, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# plot(l_p1)
## ----high_gear_manual_grid_plot_graph, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 6, fig.align = "center", fig.caption = "Loon inspector for the scatterplot l_p`", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_plot_l_p1_zoomIn.png"))
## ----Back_to_all_points, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_p1["active"] <- TRUE
# l_scaleto_plot(l_p1)
# l_p1["title"] <- "All points again"
# plot(l_p1)
## ----Back_to_all_points_graph, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 6, fig.align = "center", fig.caption = "Loon inspector for the scatterplot l_p`", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_plot_l_p1_zoomOut.png"))
## ----set_initial_linking_Group, eval = FALSE----------------------------------
# l_p1["linkingGroup"] <- "Motor Trend 1974"
## ----l_configure_linking_Group, eval = FALSE----------------------------------
# l_configure(l_h1, linkingGroup = "Motor Trend 1974", sync = "pull")
## ----stacked_colours_plot, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_h1["showStackedColors"] <- TRUE
# plot(l_h1)
## ----stacked_colours_plot_graph, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 6, fig.align = "center", fig.caption = "Loon inspector for the scatterplot l_p`", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_hist_l_h1_stacked_colours.png"))
## ----ggplot_acceleration, message = FALSE, warning = FALSE, fig.width = 6, fig.height = 5, fig.align = "center", out.width = "50%"----
# First using another ggplot
p2 <- ggplot(mtcars, aes(x = drat, y = qsec)) + geom_point()
## ----ggplot_p2, message = FALSE, warning = FALSE, fig.width = 6, fig.height = 5, fig.align = "center", out.width = "50%"----
p2
## ----stacked_colours_linking, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_p2 <- ggplot2loon(p2,
# linkingGroup = "Motor Trend 1974",
# title = "Acceleration measures",
# xlabel = "Drive axle ratio",
# ylabel = "Quarter mile (seconds)",
# itemLabel = newlabels)
## ----loon_plot_l_p2, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# plot(l_p2)
## ----loon_plot_l_p2_graph, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 6, fig.align = "center", fig.caption = "Loon inspector for the scatterplot l_p`", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_plot_l_p2.png"))
## ----default_linked_states_l_plot, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 6, fig.height = 5, fig.align = "center", out.width = "50%"----
# l_getLinkedStates(l_p1)
# # [1] "color" "selected" "active" "size"
## ----default_linked_states_l_hist, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 6, fig.height = 5, fig.align = "center", out.width = "50%"----
# l_getLinkedStates(l_h1)
# # [1] "color" "selected" "active"
## ----remove_active_from_linked_states, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_setLinkedStates(l_p1, c("color", "selected", "size"))
## ----add_glyph_to_linked_states, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_setLinkedStates(l_p1, c("glyph", "active", l_getLinkedStates(l_p1)))
# l_setLinkedStates(l_p2, c("glyph", l_getLinkedStates(l_p2)))
## ----change_glyphs, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# triangles <- l_p1["glyph"] == "triangle"
# l_p1["glyph"][triangles] <- "ctriangle"
## ----changed_glyphs_l_p1, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# plot(l_p1)
## ----changed_glyphs_l_p1_graph, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 6, fig.align = "center", fig.caption = "Loon inspector for the scatterplot l_p`", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_plot_l_p1_changed_glyphs.png"))
## ----changed_glyphs_l_p2, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# plot(l_p2)
## ----changed_glyphs_l_p2_graph, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 6, fig.align = "center", fig.caption = "Loon inspector for the scatterplot l_p`", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_plot_l_p2_changed_glyphs.png"))
## ----mtcars_smooth, message = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
p_fit <- ggplot(mtcars, aes(drat, mpg)) + geom_smooth() + geom_point()
p_fit
## ----loon_mtcars_smooth, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_p_fit <- ggplot2loon(p_fit)
## ----inspector_of_l_p_fit, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5.5, fig.height = 4, fig.align = "center", fig.caption = "Loon inspector Layers tab for l_p_fit`", out.width = "25%"----
include_graphics(file.path(imageDirectory, "inspector_l_p_fit.png"))
## ----lower_layer, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_layer_lower(l_p_fit, "model")
## ----raise_layer, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_layer_raise(l_p_fit, "model")
## ----multiple_geoms, message = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
p_hdp <- ggplot(mtcars, aes(x = wt, y = ..density..)) +
geom_histogram(binwidth = 0.5,
fill = "grey",
color = "red") +
geom_density(color = "firebrick", lwd = 1.5) +
geom_point(data = data.frame(x = mtcars$wt, y = 0),
mapping = aes(x, y),
color = "firebrick", size = 3)
# the ggplot
p_hdp
## ----active_selected_geoms, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# # To have the the histogram active (the first geom in p_hdp)
# l_p_Hdp <- ggplot2loon(p_hdp, activeGeomLayers = 1,
# linkingGroup = "Motor Trend 1974")
# # The following creates an error because the line for the density
# # is not currently a possible model layer in loon
# # ggplot2loon(p_hdp, activeGeomLayers = 2,
# # linkingGroup = "Motor Trend 1974")
# #
# # To have the points be active (the third geom in p_hdp)
# l_p_hdP <- ggplot2loon(p_hdp, activeGeomLayers = 3,
# linkingGroup = "Motor Trend 1974")
## ----multiple_geom_points, message = FALSE, warning = FALSE, fig.width = 4, fig.height = 4, fig.align = "center", out.width = "50%"----
pgps <- ggplot(mtcars, aes(x = wt, y = mpg)) +
geom_point(data = subset(mtcars, gear == 3), col = "firebrick") +
geom_point(data = subset(mtcars, gear == 4), col = "steelblue") +
geom_point(data = subset(mtcars, gear == 5), col = "black")
pgps
## ----loon_multiple geom_points, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_pgps.1 <- ggplot2loon(pgps, linkingGroup = "Motor Trend 1974")
# l_pgps.13 <- ggplot2loon(pgps, activeGeomLayers = c(1,3),
# linkingGroup = "Motor Trend 1974")
# l_pgps.123 <- ggplot2loon(pgps, activeGeomLayers = c(1, 2, 3),
# linkingGroup = "Motor Trend 1974")
## ----linking_Key_l_p1, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# # this group's linking keys can be found from l_p1
# groupKeys <- l_p1["linkingKey"]
## ----linking_subsets, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# # the subsets were defined as
# dataGeom1 <- mtcars$gear == 3
# dataGeom2 <- mtcars$gear == 4
# dataGeom3 <- mtcars$gear == 5
## ----linking_Key_setting, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_configure(l_pgps.1,
# linkingKey = groupKeys[dataGeom1],
# sync = "pull")
# l_configure(l_pgps.13,
# linkingKey = c(groupKeys[dataGeom1],
# groupKeys[dataGeom3]),
# sync = "pull")
# l_configure(l_pgps.123,
# linkingKey = c(groupKeys[dataGeom1],
# groupKeys[dataGeom2],
# groupKeys[dataGeom3]),
# sync = "pull")
## ----linking_Key_initialized, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_pgps.23 <- ggplot2loon(pgps,
# linkingGroup = "Motor Trend 1974",
# activeGeomLayers = c(2,3),
# linkingKey = c(groupKeys[dataGeom2],
# groupKeys[dataGeom3])
# )
## ----fwrap, message = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
fwrap <- ggplot(mtcars, aes(x = wt, y = mpg)) +
geom_point() +
facet_wrap(~ gear + am)
fwrap
## ----l_fwrap, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_fwrap <- ggplot2loon(fwrap, linkingGroup = "Motor Trend 1974")
## ----linking_Key_fwrap, echo = FALSE, message = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
include_graphics(file.path(imageDirectory, "l_fwrap.png"))
## ----class_l_fwrap, eval = FALSE----------------------------------------------
# class(l_fwrap)
# # [1] "l_ggplot" "l_compound" "loon"
## ----l_getPlots, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_getPlots(l_fwrap)
## ----l_getLocations, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_getLocations(l_fwrap)
# # [,1] [,2]
# # [1,] 1 2
# # [2,] 3 4
## ----patchwork, message = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
library(patchwork)
p1 <- ggplot(mtcars) + geom_point(aes(mpg, disp))
p2 <- ggplot(mtcars) + geom_boxplot(aes(gear, disp, group = gear))
patchwork <- p1 + p2 # two plots are placed side by side
patchwork
## ----patchwork to loon, message = FALSE, eval = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# l_patchwork <- ggplot2loon(patchwork)
# class(l_patchwork)
# # [1] "l_patchwork" "l_compound" "loon"
## ----patchwork linkingGroup, eval = FALSE, message = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# ggplot2loon(patchwork, linkingGroup = "none") # un-linked
# ggplot2loon(patchwork, linkingGroup = "Motor Trend 1974") # join another group
## ----patchwork complex design, message = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
p3 <- ggplot(mtcars) + geom_smooth(aes(disp, qsec))
pp <- (p1 | p2) / p3
pp
## ----patchwork fail, eval = FALSE, message = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# # ERROR
# ggplot2loon(pp)
## ----patchwork success, eval = FALSE, message = FALSE, warning = FALSE, fig.width = 5, fig.height = 4, fig.align = "center", out.width = "70%"----
# design <- c(
# area(1,1),
# area(1,2),
# area(2,1,2,2)
# )
# pp <- p1 + p2 + p3 + plot_layout(design = design)
# # Success!
# ggplot2loon(pp)
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