ggplot2 Version of Figures in “Lattice: Multivariate Data Visualization with R” (Part 7)

This is the 7th post in a series attempting to recreate the figures in Lattice: Multivariate Data Visualization with R (R code available here) with ggplot2.

Previous parts in this series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6.

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Chapter 7 – Graphical Parameters and Other Settings

Topics covered:

• The graphical parameter system
• Themes, devices
• Initializing graphics devices
• Querying and modifying parameters
• Available parameters
• Non-graphical options
• Making customizations persistent

Figure 7.1

> library(lattice) > library(ggplot2)

lattice

> pl <- dotplot(reorder(Var2, Freq) ~ Freq | Var1, data = as.data.frame.table(VADeaths), + origin = 0, type = c("p", "h"), main = "Death Rates in Virginia - 1940", + xlab = "Number of deaths per 100") > print(pl)

ggplot2

> pg <- ggplot(as.data.frame.table(VADeaths), aes(reorder(Var2, + Freq), Freq)) + geom_point() + geom_linerange(aes(ymin = 0, + ymax = Freq)) + facet_grid(~Var1) + ylab("Number of deaths per 100") + + xlab("") + opts(title = "Death Rates in Virginia - 1940") + + coord_flip() > print(pg)

Figure 7.2

lattice

> dot.line.settings <- trellis.par.get("dot.line") > dot.line.settings$col <- "transparent" > trellis.par.set("dot.line", dot.line.settings) > plot.line.settings <- trellis.par.get("plot.line") > plot.line.settings$lwd <- 2 > trellis.par.set("plot.line", plot.line.settings) > print(trellis.last.object())

ggplot2

> pg <- pg + geom_linerange(aes(ymin = 0, ymax = Freq), + size = 1.5) + opts(panel.grid.major = theme_blank(), + panel.grid.minor = theme_blank()) > print(pg)

Figure 7.3

> tp <- trellis.par.get() > unusual <- c("grid.pars", "fontsize", "clip", "axis.components", + "layout.heights", "layout.widths") > for (u in unusual) tp[[u]] <- NULL > names.tp <- lapply(tp, names) > unames <- sort(unique(unlist(names.tp))) > ans <- matrix(0, nrow = length(names.tp), ncol = length(unames)) > rownames(ans) <- names(names.tp) > colnames(ans) <- unames > for (i in seq(along = names.tp)) ans[i, ] <- as.numeric(unames %in% + names.tp[[i]]) > ans <- ans[, order(-colSums(ans))] > ans <- ans[order(rowSums(ans)), ] > ans[ans == 0] <- NA

lattice

> pl <- levelplot(t(ans), colorkey = FALSE, scales = list(x = list(rot = 90)), + panel = function(x, y, z, ...) { + panel.abline(v = unique(as.numeric(x)), h = unique(as.numeric(y)), + col = "darkgrey") + panel.xyplot(x, y, pch = 16 * z, ...) + }, xlab = "Graphical parameters", ylab = "Setting names") > print(pl)

ggplot2

> pg <- ggplot(subset(as.data.frame.table(ans), Freq == + 1), aes(Var2, Var1)) + geom_point() + xlab("Graphical parameters") + + ylab("Setting names") + opts(axis.text.x = theme_text(angle = 90, + hjust = 1, colour = "grey50")) > print(pg)

Figure 7.4

lattice

> show.settings()

ggplot2

The same not possible in ggplot2.