我觉得这应该是显而易见的......我所要做的就是从图表底部删除x轴并将其添加到顶部。
这是一个可重复的例子。数据加代码来制作以下图表:
library(reshape2)
library(ggplot2)
data(mtcars)
dat <- with(mtcars, data.frame(mpg, cyl, disp, hp, wt, gear))
cor.matrix <- round(cor(dat, use = "pairwise.complete.obs", method = "spearman"), digits = 2)
diag(cor.matrix)<-NA
cor.dat <- melt(cor.matrix)
cor.dat <- data.frame(cor.dat)
cor.dat <- cor.dat[complete.cases(cor.dat),]
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 = element_text(color="black", size=14) )
但是我试图制作的东西似乎应该是显而易见的(例如它在base-R中很容易做到),但我还没有设法找到什么我正在寻找ggplot2。
答案 0 :(得分:60)
您可以通过添加
将x轴标签移到顶部scale_x_discrete(position = "top")
答案 1 :(得分:6)
我已经使用过这项工作了。使用复制的情节x轴并将两者粘在一起,然后裁剪。我没有清理过的代码,但下面是一个例子。
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)
答案 2 :(得分:5)
ggdraw(switch_axis_position(p + axis = 'x'))
答案 3 :(得分:1)
请参阅http://ggplot2.tidyverse.org/reference/sec_axis.html
scale_y_continuous(sec.axis = dup_axis())
答案 4 :(得分:0)
现在,您可以通过在 scale_x_discrete 中添加“position = 'top'”来实现。
代码:
library(reshape2)
library(ggplot2)
data(mtcars)
dat <- with(mtcars, data.frame(mpg, cyl, disp, hp, wt, gear))
cor.matrix <- round(cor(dat, use = "pairwise.complete.obs", method = "spearman"), digits = 2)
diag(cor.matrix)<-NA
cor.dat <- melt(cor.matrix)
cor.dat <- data.frame(cor.dat)
cor.dat <- cor.dat[complete.cases(cor.dat),]
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),position = 'top') +
scale_y_discrete(expand = c(0, 0),position = 'left') +
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 = element_text(color="black", size=14) )
答案 5 :(得分:-1)
我能想到的唯一方法是使用轴标签的vjust
主题选项(以及我想的轴标题)。类似的东西:
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
不能与element_text
一起使用,所以我“坚持移动轴刻度。”