I have two ggplot geom_tile plots that I put together using grid.arrange() from the gridExtra library. This is the result
library(ggplot2)
library(plyr)
p3 <- ggplot2(...)
p4 <- ggplot2(...)
grid.arrange(p3, p4, ncol=2)
I would like to get it so that the two plots have the same height and are aligned. I have fiddled around a bit with gtable to alter the dimensions directly but this doesn't seem to work out.
gA <- ggplot_gtable(ggplot_build(p3))
gB <- ggplot_gtable(ggplot_build(p4))
maxHeight <- unit.pmax(gA$heights[2:3], gB$heights[2:3])
gA$heights[2:3] <- maxHeight
gB$heights[2:3] <- maxHeight
grid.arrange(gA, gB, ncol=2)
Error Message:
Error in grid.Call.graphics(L_setviewport, pvp, TRUE) :
non-finite location and/or size for viewport
Any ideas?
--- Reproducible example ---
library(ggplot2)
library(plyr)
temp_plot <- structure(list(Sample = structure(c(1L, 1L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L),
.Label = c("1", "2", "3", "4", "5", "6", "7", "8"), class = "factor"),
Gene = structure(c(1L, 9L, 21L, 22L, 1L, 7L, 8L, 1L, 2L, 17L, 18L, 1L, 3L, 4L, 16L, 5L, 6L, 19L, 20L, 1L, 10L, 11L, 12L, 13L, 2L, 3L, 4L, 5L, 6L, 14L, 15L),
.Label = c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22"), class = "factor"),
Effect = c("fusion", "missense", "missense", "missense", "fusion", "missense", "missense", "fusion", "frameshift", "missense", "nonsense", "fusion", "missense", "missense", "missense", "missense", "missense", "missense", "missense", "fusion", "multiple", "missense", "missense", "missense", "frameshift", "nonsense", "missense", "missense", "missense", "missense", "missense"),
ind = c(1L, 2L, 1L, 2L, 1L, 2L, 3L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 6L, 7L)),
.Names = c("Sample", "Gene", "Effect", "ind"),
row.names = c(NA, -31L), class = "data.frame")
tt <- expand.grid(levels(temp_plot$Gene),levels(temp_plot$Sample))
colnames(tt) <- c("Gene", "Sample")
temp_plot2 <- merge(temp_plot,tt, all.y=T)
p3 <- ggplot(temp_plot2, aes(x=Gene, y=Sample)) +
geom_tile(aes(fill=Effect),colour="white",size=1.1) +
coord_equal() + theme_bw() + theme(axis.text.x = element_blank(),
axis.line = element_blank(), axis.title.y = element_blank(), axis.title.x = element_blank(),
axis.ticks.y = element_blank(), axis.ticks.x = element_blank(),
panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.border = element_blank(), panel.background = element_blank(),
legend.position = "none" )
temp_collapse_plot <- ddply(temp_plot, .(Sample), function(df){
df <- df[order(df$Gene),]
df <- unique(df)
data.frame(df,ind=1:nrow(df))
})
p4 <- ggplot(temp_collapse_plot, aes(y=Sample, x=ind)) +
geom_tile(aes(fill=Effect), colour="white", size=1.1) + coord_equal() +
scale_x_discrete(labels=levels(temp_plot$Gene)[order(nchar(levels(temp_plot$Gene)), decreasing=T)]) +
theme_bw() + theme(axis.line = element_blank(),
axis.text.x = element_blank(), axis.text.y = element_blank(),
axis.ticks.x = element_blank(), axis.title.y = element_blank(),
axis.ticks.y = element_blank(), axis.title.x = element_blank(),
panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.border = element_blank(), panel.background = element_blank())