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Spot Matrix in R with ggplot2
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################################## | |
# Data | |
################################## | |
ops.mat <- | |
matrix(c(392, 114, 250, 115, 115, 78, | |
2349, 560, 428, 286, 226, 173, | |
4037, 1215, 817, 879, 479, 337, | |
966, 592, 142, 256, 90, 407), | |
nrow=4, byrow=TRUE) | |
project.node.totals <- c(28047, 79005, 140853, 29529) | |
rownames(ops.mat) <- c("go", "c", "cpp", "fortran") | |
colnames(ops.mat) <- c("a = b","a == b","!a","a && b","a != b","&a") | |
scale.max.1 <- function(x) x / max(x) | |
ops.rate.mat <- scale.max.1(apply(ops.mat, 2, '/', project.node.totals)) | |
ops.rate.df <- data.frame(reshape2::melt(ops.rate.mat, varnames=c("parser", "op"), value.name = "rate")) | |
################################## | |
# Includes | |
################################## | |
install.packages(c("ggplot2", "bertin", "pals", "gridExtra")) | |
library(ggplot2) | |
################################## | |
# Table | |
################################## | |
Hmisc::latex(ops.mat, title='') | |
################################## | |
# Bertin Matrix | |
################################## | |
bertin::plot.bertin(ops.mat, main='', palette = c("black", "black"), showpalette = FALSE) | |
################################## | |
# Heatmap | |
################################## | |
heatmap(ops.mat, Colv=NA, Rowv=NA, col=pals::parula(64)) | |
################################## | |
# Spot Matrix | |
################################## | |
ggplot(data=ops.rate.df, aes(op, parser)) + geom_point(aes(size = rate)) | |
################################## | |
# Spot Matrix Theme | |
################################## | |
spot.theme <- list( | |
theme_classic(), | |
theme(axis.ticks.x=element_blank(), axis.text.x=element_text(size = 19, angle = 90, hjust = 0)), | |
theme(axis.ticks.y=element_blank(), axis.text.y=element_text(size = 19)), | |
theme(axis.line=element_blank()), | |
theme(text = element_text(size = 22)), | |
theme(legend.position = "none"), | |
theme(plot.margin = unit(c(10,10,10,10), "mm")), | |
scale_size_continuous(range = c(-0.3, 15)), | |
scale_x_discrete(position = "top")) | |
# Themed plot | |
ggplot(data=ops.rate.df, aes(op, parser)) + geom_point(aes(size = rate)) + spot.theme | |
################################## | |
# Spot Matrix Variation Grid | |
################################## | |
colors <- pals::parula(10)[c(1,4,7,9)] | |
plain.spot <- ggplot(ops.rate.df, aes(op, parser)) + spot.theme + ggtitle("Plain Spot") + | |
geom_point(colour = colors[[1]], aes(size = rate)) | |
donut.spot <- ggplot(ops.rate.df, aes(op, parser)) + spot.theme + ggtitle("Donut Spot") + | |
geom_point(colour = colors[[2]], aes(size = 1)) + | |
geom_point(colour = "white", aes(size = scale.max.1(1/rate))) | |
center.spot <- ggplot(ops.rate.df, aes(op, parser)) + spot.theme + ggtitle("Center Spot") + | |
geom_point(colour = "gray20", aes(size = 1)) + | |
geom_point(colour = colors[[3]], aes(size = rate)) | |
ring.spot <- ggplot(ops.rate.df, aes(op, parser)) + spot.theme + ggtitle("Ring Spot") + | |
geom_point(colour = "black", aes(size = 1)) + | |
geom_point(colour = "white", aes(size = 0.8)) + | |
geom_point(colour = colors[[4]], aes(size = 0.81*rate)) | |
spot.grid <- gridExtra::grid.arrange(plain.spot, donut.spot, center.spot, ring.spot, nrow=2) | |
################################## | |
# Colored Groups | |
################################## | |
op.type <- factor(c(1,2,2,2,2,3), labels=c("assignment", "logical", "address")) | |
ggplot(ops.rate.df, aes(op, parser)) + spot.theme + | |
geom_point(colour = "black", aes(size = 1)) + | |
geom_point(colour = "white", aes(size = 0.8)) + | |
geom_point(aes(colour = op.type[op], size = 0.81*rate)) + | |
scale_colour_manual(values = colors[2:4]) |
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