Putting x-axis at top of ggplot2 chart

Question

I feel like this should be obvious... all I\'m trying to do is to remove the x-axis from the bottom of my graph and add it to the top.

Here is a reproducible examp

Answer 1

check out the cowplot package

ggdraw(switch_axis_position(p + axis = 'x'))

Answer 2

You can move the x-axis labels to the top by adding

scale_x_discrete(position = "top") 

Answer 3

see http://ggplot2.tidyverse.org/reference/sec_axis.html

scale_y_continuous(sec.axis = dup_axis())

Answer 4

The only way I can think to do this is to go wild with the vjust theme option for the axis labels (and the axis title as well, I suppose). Something like:

df <- data.frame(x = 1:10, y = (1:10)^2)       # example data

p <- ggplot(df, aes(x = x, y = y)) + geom_point() +
    theme(
        axis.text.x = element_text(vjust = -5),
        axis.title.x = element_text(vjust = -5))

vjust doesn't work with element_text, though, so I"m stuck on moving the axis ticks.

Answer 5

I've used this work around. Used a duplicated the plot's x-axis and affixed the two together, then crop. I don't have the cleaned up code, but below is an example.

p.bot   <-  
ggplot(cor.dat, aes(Var2, Var1, fill = value)) + 
  geom_tile(colour="gray90", size=1.5, stat="identity") + 
  geom_text(data=cor.dat, aes(Var2, Var1, label = value), color="black", size=rel(4.5)) +
  scale_fill_gradient(low = "white", high = "dodgerblue", space = "Lab", na.value = "gray90", guide = "colourbar") +
  scale_x_discrete(expand = c(0, 0)) +
  scale_y_discrete(expand = c(0, 0)) +
  xlab("") + 
  ylab("") +
  theme(panel.grid.major = element_blank(),
        panel.grid.minor = element_blank(),
        panel.border = element_rect(fill=NA,color="gray90", size=0.5, linetype="solid"),
        axis.line = element_blank(),
        axis.ticks = element_blank(),
        panel.background = element_rect(fill="gray90"),
        plot.background = element_rect(fill="gray90"),
        legend.position = "none", 
        axis.text.x = element_blank(),
        plot.margin = unit(c(1,0,0,0), "cm"),
        axis.text.y = element_text(color="black", size=14) )

p.top   <-  p.bot + theme(
    axis.text.x = element_text(color="black", size=14),
    axis.text.y = element_text(color="gray90", size=14)
    )  + coord_cartesian(ylim = c(0,0))



require(gtable)
#Extract Grobs
g1<-ggplotGrob(p.top)
g2<-ggplotGrob(p.bot)
#Bind the tables
g<-gtable:::rbind_gtable(g1, g2, "first")
#Remove a row between the plots
g <- gtable_add_rows(g, unit(-1.25,"cm"), pos=nrow(g1))
#draw
panels <- g$layout$t[grep("panel", g$layout$name)]
g$heights[panels] <- lapply(c(0,2), unit, "null")

grid.newpage()
grid.draw(g)