如何在R 2x2条形图中以X轴45度显示所有标签
使用以下数据：如何在R 2x2条形图中以X轴45度显示所有标签,r,plot,bar-chart,R,Plot,Bar Chart,使用以下数据： Method Metric E0 E1 E2 E4 Method-XXX Precision 0.9661017 0.9622642 1 0.9655172 Method-YYY Precision 0.533 0.535 0.378 0.214 Method-ZZZ Precision 0.595 0.843 0.77 0.689 Method-XZZZ Precision 0.573 0.698 0
Method Metric E0 E1 E2 E4
Method-XXX Precision 0.9661017 0.9622642 1 0.9655172
Method-YYY Precision 0.533 0.535 0.378 0.214
Method-ZZZ Precision 0.595 0.843 0.77 0.689
Method-XZZZ Precision 0.573 0.698 0.53 0.708
Method-XZZZY Precision 0.008 0.011 0.004 0.002
Method-XXX Recall 0.9736842 0.9736842 0.9473684 0.9473684
Method-YYY Recall 1 1 1 0.667
Method-ZZZ Recall 0.833 1 1 1
Method-XZZZ Recall 1 1 1 1
Method-XZZZY Recall 0.167 0.75 1 1
dat添加以旋转45度
添加以旋转45度
这里有一种不用旋转就能得到所有标签的方法。将轴标签打印在两条线上，而不是一条线上，以避免重叠。我用一个图表来演示这个方法
dat <- read.table("http://dpaste.com/1563769/plain/",header=TRUE)
# Create barplot
barplot(height=dat$E0, beside=TRUE, col=c("red","blue"))
# Get x-coordinates of bars
x.coords = barplot(height=dat$E0, beside=TRUE, plot=FALSE)
# Create new coordinates between each pair of bars
new.x.coords = seq(sum(x.coords)[1:2]/2, sum(x.coords)[9:10]/2, x.coords[2]-x.coords[1])
# Plot axis labels, but not axis or tickmarks
axis(side=1, at=new.x.coords[c(1,3,5)], labels=dat$Method[c(1,3,5)], line=0, tick=FALSE)
axis(side=1, at=new.x.coords[c(2,4)], labels=dat$Method[c(2,4)], line=1, tick=FALSE)
# Plot just axis and tickmarks, but not labels
axis(side=1, at=new.x.coords, labels=NA)
dat这里有一种不用旋转就能获取所有标签的方法。将轴标签打印在两条线上，而不是一条线上，以避免重叠。我用一个图表来演示这个方法
dat <- read.table("http://dpaste.com/1563769/plain/",header=TRUE)
# Create barplot
barplot(height=dat$E0, beside=TRUE, col=c("red","blue"))
# Get x-coordinates of bars
x.coords = barplot(height=dat$E0, beside=TRUE, plot=FALSE)
# Create new coordinates between each pair of bars
new.x.coords = seq(sum(x.coords)[1:2]/2, sum(x.coords)[9:10]/2, x.coords[2]-x.coords[1])
# Plot axis labels, but not axis or tickmarks
axis(side=1, at=new.x.coords[c(1,3,5)], labels=dat$Method[c(1,3,5)], line=0, tick=FALSE)
axis(side=1, at=new.x.coords[c(2,4)], labels=dat$Method[c(2,4)], line=1, tick=FALSE)
# Plot just axis and tickmarks, but not labels
axis(side=1, at=new.x.coords, labels=NA)
dat使用restrape2
（用于将数据重塑为长格式）和ggplot2
（用于打印）软件包，制作这样的打印会容易得多
守则：
dat <- read.table("http://dpaste.com/1563769/plain/",header=TRUE)
library(reshape2)
library(ggplot2)
# reshape your data into long format
long <- melt(dat, id=c("Method","Metric"),
measure=c("E0","E1","E2","E4"),
variable = "E.nr")
# make the plot
ggplot(long) +
geom_bar(aes(x = Method, y = value, fill = Metric),
stat="identity", position = "dodge", width = 0.7) +
facet_wrap(~E.nr) +
scale_fill_manual("Metric\n", values = c("red","blue"),
labels = c(" Precision", " Recall")) +
labs(x="",y="") +
theme_bw() +
theme(
panel.grid.major.y = element_line(colour = "black", linetype = 3, size = .5),
panel.background = element_blank(),
axis.title.x = element_text(size=16),
axis.text.x = element_text(size=14, angle=45, hjust=1, vjust=1),
axis.title.y = element_text(size=16, angle = 90),
axis.text.y = element_text(size=14),
strip.background = element_rect(color="white", fill="white"),
strip.text = element_text(size=16)
)
dat <- read.table("http://dpaste.com/1563769/plain/",header=TRUE)
library(ggplot2)
library(gridExtra)
# making the seperate plots
pE0 <- ggplot(dat) +
geom_bar(aes(x = Method, y = E0, fill = Metric),
stat="identity", position = "dodge", width = 0.7) +
scale_fill_manual("Metric\n", values = c("red","blue"),
labels = c(" Precision", " Recall")) +
labs(title="E0\n",x="",y="") +
theme_bw() +
theme(
panel.grid.major.y = element_line(colour = "black", linetype = 3, size = .5),
panel.background = element_blank(),
axis.title.x = element_text(size=16),
axis.text.x = element_text(size=14, angle=30, hjust=1, vjust=1),
axis.title.y = element_text(size=16, angle = 90),
axis.text.y = element_text(size=14)
)
pE1 <- ggplot(dat) +
geom_bar(aes(x = Method, y = E1, fill = Metric),
stat="identity", position = "dodge", width = 0.7) +
scale_fill_manual("Metric\n", values = c("red","blue"),
labels = c(" Precision", " Recall")) +
labs(title="E1\n",x="",y="") +
theme_bw() +
theme(
panel.grid.major.y = element_line(colour = "black", linetype = 3, size = .5),
panel.background = element_blank(),
axis.title.x = element_text(size=16),
axis.text.x = element_text(size=14, angle=30, hjust=1, vjust=1),
axis.title.y = element_text(size=16, angle = 90),
axis.text.y = element_text(size=14)
)
pE2 <- ggplot(dat) +
geom_bar(aes(x = Method, y = E2, fill = Metric),
stat="identity", position = "dodge", width = 0.7) +
scale_fill_manual("Metric\n", values = c("red","blue"),
labels = c(" Precision", " Recall")) +
labs(title="E2\n",x="",y="") +
theme_bw() +
theme(
panel.grid.major.y = element_line(colour = "black", linetype = 3, size = .5),
panel.background = element_blank(),
axis.title.x = element_text(size=16),
axis.text.x = element_text(size=14, angle=30, hjust=1, vjust=1),
axis.title.y = element_text(size=16, angle = 90),
axis.text.y = element_text(size=14)
)
pE4 <- ggplot(dat) +
geom_bar(aes(x = Method, y = E4, fill = Metric),
stat="identity", position = "dodge", width = 0.7) +
scale_fill_manual("Metric\n", values = c("red","blue"),
labels = c(" Precision", " Recall")) +
labs(title="E4\n",x="",y="") +
theme_bw() +
theme(
panel.grid.major.y = element_line(colour = "black", linetype = 3, size = .5),
panel.background = element_blank(),
axis.title.x = element_text(size=16),
axis.text.x = element_text(size=14, angle=30, hjust=1, vjust=1),
axis.title.y = element_text(size=16, angle = 90),
axis.text.y = element_text(size=14)
)
# function to extract the legend (borrowed from: https://github.com/hadley/ggplot2/wiki/Share-a-legend-between-two-ggplot2-graphs )
g_legend<-function(a.gplot){
tmp <- ggplot_gtable(ggplot_build(a.gplot))
leg <- which(sapply(tmp$grobs, function(x) x$name) == "guide-box")
legend <- tmp$grobs[[leg]]
return(legend)}
legend <- g_legend(pE1)
lwidth <- sum(legend$width)
# combining the plots with gridExtra
grid.arrange(arrangeGrob(pE0 + theme(legend.position="none"),
pE1 + theme(legend.position="none"),
pE2 + theme(legend.position="none"),
pE4 + theme(legend.position="none")
),
legend, widths=unit.c(unit(1, "npc") - lwidth, lwidth), nrow=1)
结果是：
使用restrape2
（用于将数据重塑为长格式）和ggplot2
（用于打印）软件包，制作这样的打印会容易得多
守则：
dat <- read.table("http://dpaste.com/1563769/plain/",header=TRUE)
library(reshape2)
library(ggplot2)
# reshape your data into long format
long <- melt(dat, id=c("Method","Metric"),
measure=c("E0","E1","E2","E4"),
variable = "E.nr")
# make the plot
ggplot(long) +
geom_bar(aes(x = Method, y = value, fill = Metric),
stat="identity", position = "dodge", width = 0.7) +
facet_wrap(~E.nr) +
scale_fill_manual("Metric\n", values = c("red","blue"),
labels = c(" Precision", " Recall")) +
labs(x="",y="") +
theme_bw() +
theme(
panel.grid.major.y = element_line(colour = "black", linetype = 3, size = .5),
panel.background = element_blank(),
axis.title.x = element_text(size=16),
axis.text.x = element_text(size=14, angle=45, hjust=1, vjust=1),
axis.title.y = element_text(size=16, angle = 90),
axis.text.y = element_text(size=14),
strip.background = element_rect(color="white", fill="white"),
strip.text = element_text(size=16)
)
dat <- read.table("http://dpaste.com/1563769/plain/",header=TRUE)
library(ggplot2)
library(gridExtra)
# making the seperate plots
pE0 <- ggplot(dat) +
geom_bar(aes(x = Method, y = E0, fill = Metric),
stat="identity", position = "dodge", width = 0.7) +
scale_fill_manual("Metric\n", values = c("red","blue"),
labels = c(" Precision", " Recall")) +
labs(title="E0\n",x="",y="") +
theme_bw() +
theme(
panel.grid.major.y = element_line(colour = "black", linetype = 3, size = .5),
panel.background = element_blank(),
axis.title.x = element_text(size=16),
axis.text.x = element_text(size=14, angle=30, hjust=1, vjust=1),
axis.title.y = element_text(size=16, angle = 90),
axis.text.y = element_text(size=14)
)
pE1 <- ggplot(dat) +
geom_bar(aes(x = Method, y = E1, fill = Metric),
stat="identity", position = "dodge", width = 0.7) +
scale_fill_manual("Metric\n", values = c("red","blue"),
labels = c(" Precision", " Recall")) +
labs(title="E1\n",x="",y="") +
theme_bw() +
theme(
panel.grid.major.y = element_line(colour = "black", linetype = 3, size = .5),
panel.background = element_blank(),
axis.title.x = element_text(size=16),
axis.text.x = element_text(size=14, angle=30, hjust=1, vjust=1),
axis.title.y = element_text(size=16, angle = 90),
axis.text.y = element_text(size=14)
)
pE2 <- ggplot(dat) +
geom_bar(aes(x = Method, y = E2, fill = Metric),
stat="identity", position = "dodge", width = 0.7) +
scale_fill_manual("Metric\n", values = c("red","blue"),
labels = c(" Precision", " Recall")) +
labs(title="E2\n",x="",y="") +
theme_bw() +
theme(
panel.grid.major.y = element_line(colour = "black", linetype = 3, size = .5),
panel.background = element_blank(),
axis.title.x = element_text(size=16),
axis.text.x = element_text(size=14, angle=30, hjust=1, vjust=1),
axis.title.y = element_text(size=16, angle = 90),
axis.text.y = element_text(size=14)
)
pE4 <- ggplot(dat) +
geom_bar(aes(x = Method, y = E4, fill = Metric),
stat="identity", position = "dodge", width = 0.7) +
scale_fill_manual("Metric\n", values = c("red","blue"),
labels = c(" Precision", " Recall")) +
labs(title="E4\n",x="",y="") +
theme_bw() +
theme(
panel.grid.major.y = element_line(colour = "black", linetype = 3, size = .5),
panel.background = element_blank(),
axis.title.x = element_text(size=16),
axis.text.x = element_text(size=14, angle=30, hjust=1, vjust=1),
axis.title.y = element_text(size=16, angle = 90),
axis.text.y = element_text(size=14)
)
# function to extract the legend (borrowed from: https://github.com/hadley/ggplot2/wiki/Share-a-legend-between-two-ggplot2-graphs )
g_legend<-function(a.gplot){
tmp <- ggplot_gtable(ggplot_build(a.gplot))
leg <- which(sapply(tmp$grobs, function(x) x$name) == "guide-box")
legend <- tmp$grobs[[leg]]
return(legend)}
legend <- g_legend(pE1)
lwidth <- sum(legend$width)
# combining the plots with gridExtra
grid.arrange(arrangeGrob(pE0 + theme(legend.position="none"),
pE1 + theme(legend.position="none"),
pE2 + theme(legend.position="none"),
pE4 + theme(legend.position="none")
),
legend, widths=unit.c(unit(1, "npc") - lwidth, lwidth), nrow=1)
结果是：
遵循中使用的（和中第一个示例中演示的）基本相同的策略，您可以使用grid.text（）
注释基本图形输出
library(gridBase)
## Function that plots barplots with x-axes annotated with slanted
ff <- function(x) {
barcols <- c("red","blue")
## Plot, suppressing the labels
bp <- barplot(matrix(dat[,x], nrow = 2, byrow = TRUE), xaxt = "n",
beside = TRUE, col = barcols)
title(main=names(dat[x]))
xaxislab <- c("Method-XXX", "Method-YYY", " Method-ZZZ",
"Method-XZZZ", " Method-XZZZY")
## Compute x-axis coordinate at center of each group
bp <- colMeans(bp)
## Use gridBase to compute viewport coordinates and
## grid to push/pop viewports and add the labels
vps <- baseViewports()
pushViewport(vps$inner, vps$figure, vps$plot)
grid.text(xaxislab,
x = unit(bp, "native"), y = unit(-0.5, "lines"),
just = "right", rot = 45, gp=gpar(cex=0.7))
popViewport(3)
}
## Apply it to your data
dat <- read.table("http://dpaste.com/1563769/plain/",header=TRUE)
layout(matrix(c(1,2,5,3,4,5),nrow=2,byrow = TRUE))
sapply(3:6, ff)
库（gridBase）
##用于打印带有x轴的条形图的函数，x轴带有倾斜注释
ff遵循中使用的基本相同策略（在中的第一个示例中演示），您可以使用grid.text（）
对基本图形输出进行注释
library(gridBase)
## Function that plots barplots with x-axes annotated with slanted
ff <- function(x) {
barcols <- c("red","blue")
## Plot, suppressing the labels
bp <- barplot(matrix(dat[,x], nrow = 2, byrow = TRUE), xaxt = "n",
beside = TRUE, col = barcols)
title(main=names(dat[x]))
xaxislab <- c("Method-XXX", "Method-YYY", " Method-ZZZ",
"Method-XZZZ", " Method-XZZZY")
## Compute x-axis coordinate at center of each group
bp <- colMeans(bp)
## Use gridBase to compute viewport coordinates and
## grid to push/pop viewports and add the labels
vps <- baseViewports()
pushViewport(vps$inner, vps$figure, vps$plot)
grid.text(xaxislab,
x = unit(bp, "native"), y = unit(-0.5, "lines"),
just = "right", rot = 45, gp=gpar(cex=0.7))
popViewport(3)
}
## Apply it to your data
dat <- read.table("http://dpaste.com/1563769/plain/",header=TRUE)
layout(matrix(c(1,2,5,3,4,5),nrow=2,byrow = TRUE))
sapply(3:6, ff)
库（gridBase）
##用于打印带有x轴的条形图的函数，x轴带有倾斜注释
谢谢，但是旋转180度太强了。我希望它最多是45度。对于45度，你可以检查我已经为45度做了更新…希望它会有帮助谢谢，但是旋转太强了180度。我希望它最多是45度。对于45度，你可以检查我已经为45度做了更新…希望它会有所帮助