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# NOTE: This script should only be used after results are generated with run.R
library(grid)
library(gridExtra)
library(ggplot2)
library(mp)
get_legend <- function(p) {
tmp <- ggplot_gtable(ggplot_build(p))
leg <- which(sapply(tmp$grobs, function(x) x$name) == "guide-box")
legend <- tmp$grobs[[leg]]
legend
}
args <- commandArgs(T)
dataset <- args[1]
tech <- args[2]
iter <- args[3]
measure <- args[4]
out.file <- args[5]
X.file <- file.path("datasets", paste(dataset, "tbl", sep="."))
l.file <- file.path("datasets", paste(dataset, "labels", sep="."))
Y.file <- file.path("results", dataset, tech, paste("Y-", iter, ".tbl", sep=""))
sample.indices.file <- file.path("results", dataset, paste("sample-indices-", iter, ".tbl", sep=""))
Ys.file <- file.path("results", dataset, paste("Ys-", iter, ".tbl", sep=""))
Ysm.file <- file.path("results", dataset, paste("Ysm-", measure, "-", iter, ".tbl", sep=""))
X <- read.table(X.file)
Y <- read.table(Y.file)
l <- as.factor(read.table(l.file)$V1)
l <- l[!duplicated(X)]
X <- scale(unique(X))
sample.indices <- read.table(sample.indices.file)$V1
ls <- l[sample.indices]
Ys <- read.table(Ys.file)
Ysm <- read.table(Ysm.file)
Ym <- pekalska(dist(X), sample.indices, Ysm)
dfYs <- data.frame(x=Ys[,1], y=Ys[,2], Labels=ls)
pYs <- ggplot(dfYs) +
theme_minimal() +
theme(legend.position="none",
plot.background=element_rect(fill="#ffffff", color="#000000"),
axis.text=element_blank(),
axis.title=element_blank(),
panel.grid=element_blank()) +
geom_point(aes(x=x, y=y, color=Labels), size=0.5, alpha=0.8) +
scale_color_brewer(palette="Set1")
pYs <- ggplotGrob(pYs)
dfYsm <- data.frame(x=Ysm[,1], y=Ysm[,2], Labels=ls)
pYsm <- ggplot(dfYsm) +
theme_minimal() +
theme(legend.position="none",
plot.background=element_rect(fill="#ffffff", color="#000000"),
axis.text=element_blank(),
axis.title=element_blank(),
panel.grid=element_blank()) +
geom_point(aes(x=x, y=y, color=Labels), size=0.5, alpha=0.8) +
scale_color_brewer(palette="Set1")
pYsm <- ggplotGrob(pYsm)
dfY <- data.frame(x=Y[,1], y=Y[,2], Labels=l)
pY <- ggplot(dfY) +
theme_minimal() +
theme(legend.position="bottom",
legend.title=element_blank(),
legend.text=element_text(size=14),
legend.background=element_rect(fill="#ffffff", color="#000000"),
axis.text=element_blank(),
axis.title=element_blank(),
panel.grid=element_blank()) +
geom_point(aes(x=x, y=y, color=Labels), alpha=0.8) +
scale_color_brewer(palette="Set1") +
annotation_custom(grob = pYs,
xmin=min(dfY$x), xmax=min(dfY$x) + (max(dfY$x) - min(dfY$x)) / 3,
ymin=max(dfY$y) - (max(dfY$y) - min(dfY$y)) / 3, ymax=max(dfY$y))
legend <- get_legend(pY)
pY <- pY + theme(legend.position="none")
dfYm <- data.frame(x=Ym[,1], y=Ym[,2], Labels=l)
pYm <- ggplot(dfYm) +
theme_minimal() +
theme(legend.position="none",
axis.text=element_blank(),
axis.title=element_blank(),
panel.grid=element_blank()) +
geom_point(aes(x=x, y=y, color=Labels), alpha=0.8) +
scale_color_brewer(palette="Set1") +
annotation_custom(grob = pYsm,
xmin=min(dfYm$x), xmax=min(dfYm$x) + (max(dfYm$x) - min(dfYm$x)) / 3,
ymin=min(dfYm$y), ymax=min(dfYm$y) + (max(dfYm$y) - min(dfYm$y)) / 3)
p <- grid.arrange(pY, pYm, legend,
ncol=2, nrow=2,
layout_matrix=rbind(c(3, 3), c(1, 2)),
widths=c(5, 5), heights=c(0.5, 4.5))
ggsave(out.file, p, width=10, height=5)
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