全局图例使用grid.arrange(gridExtra)和基于格子的图 [英] Global legend using grid.arrange (gridExtra) and lattice based plots
问题描述
我使用xyplot(lattice)生成四个图并进一步将它们与grid.arrange(gridExtra)结合在一起。
I am producing four plots using xyplot (lattice) and further combine them with grid.arrange (gridExtra).
我想获得一个具有常见全球传奇。我所达到的最接近的是以下内容。他们必须在矩阵布局,否则一个选项将他们放在一个列中,只包含顶部或底部的图例。
I would like to obtain a graph with a common global legend. The closest that I have reached is the following. They have to be in a matrix layout, otherwise an option would be to put them in a column and include only a legend for the top or bottom one.
# Load packages
require(lattice)
require(gridExtra)
# Generate some values
x1<-rnorm(100,10,4)
x2<-rnorm(100,10,4)
x3<-rnorm(100,10,4)
x4<-rnorm(100,10,4)
y<-rnorm(100,10,1)
cond<-rbinom(100,1,0.5)
groups<-sample(c(0:10),100,replace=TRUE)
dataa<-data.frame(y,x1,x2,x3,x4,cond,groups)
# ploting function
plott<-function(x){
xyplot(y~x|cond,groups=groups,
col = gray(seq(0.01,0.7,length=length(levels(as.factor(groups))))),
pch = 1:length(levels(as.factor(groups))),
key = list(space="top",
text = list(as.character(levels(as.factor(groups)))),
points = TRUE, lines = TRUE, columns = 3,
pch = 1:length(levels(as.factor(groups))),
col = gray(seq(0.01,0.7,length=length(levels(as.factor(groups))))),
cex=1))
}
plot1<-plott(x=x1)
plot2<-plott(x=x2)
plot3<-plott(x=x3)
plot4<-plott(x=x4)
grid.arrange(plot1,plot2,plot2,plot4,ncol=2)
在一篇类似的文章中,我已经看到它可以使用ggplot2执行eg 此处和这里,但有没有一种方法可以使用gridExtra和一个基于格的图来包含一个全球常见的图例xyplot?
In a similar post, I have seen that it can be performed with the use of ggplot2 e.g. here and here but is there a way to include a global common legend using gridExtra and a lattice based plot e.g. xyplot?
谢谢。
推荐答案
更接近我最初想象的。为此我包含了一个额外的图形元素,并且我使用grid.arrange中的layout_matrix选项来最小化其效果。这样我就保留了传说,几乎排除了情节。
I managed to produce something more close to what I first imagined. For that I am including an extra graphical element and I am using the layout_matrix option in grid.arrange to minimize its effect. That way I am keeping the legend and almost exclude the plot.
# Load packages
require(lattice)
require(gridExtra)
# Generate some values
x1<-rnorm(100,10,4)
x2<-rnorm(100,10,4)
x3<-rnorm(100,10,4)
x4<-rnorm(100,10,4)
y<-rnorm(100,10,1)
cond<-rbinom(100,1,0.5)
groups<-sample(c(0:10),100,replace=TRUE)
dataa<-data.frame(y,x1,x2,x3,x4,cond,groups)
# ploting function
plottNolegend<-function(x){
xyplot(y~x|cond,groups=groups,
col = gray(seq(0.01,0.7,length=length(levels(as.factor(groups))))),
pch = 1:length(levels(as.factor(groups)))
)
}
plott<-function(x){
xyplot(y~x|cond,groups=groups,
col = gray(seq(0.01,0.7,length=length(levels(as.factor(groups))))),
pch = 1:length(levels(as.factor(groups))),
key = list(space="top",
text = list(as.character(levels(as.factor(groups)))),
points = TRUE, lines = TRUE, columns = 3,
pch = 1:length(levels(as.factor(groups))),
col = gray(seq(0.01,0.7,length=length(levels(as.factor(groups))))),
cex=1))
}
plot1<-plottNolegend(x=x1)
plot2<-plottNolegend(x=x2)
plot3<-plottNolegend(x=x3)
plot4<-plottNolegend(x=x4)
legend<-plott(x=x4)
lay <- rbind(c(1,2),
c(1,2),
c(3,4),
c(3,4),
c(5,5))
grid.arrange(plot1,plot2,plot2,plot4,legend, layout_matrix = lay)
< img src =https://i.stack.imgur.com/kEpZJ.jpgalt =在全球图例底部绘制>
更新:答案比我预期的要简单得多。
Updated: The answer was much simpler than I expected. Thank you all for your help.
# Load packages
require(lattice)
require(gridExtra)
require(grid)
# Generate some values
x1<-rnorm(100,10,4)
x2<-rnorm(100,10,4)
x3<-rnorm(100,10,4)
x4<-rnorm(100,10,4)
y<-rnorm(100,10,1)
cond<-rbinom(100,1,0.5)
groups<-sample(c(0:10),100,replace=TRUE)
dataa<-data.frame(y,x1,x2,x3,x4,cond,groups)
# ploting function
plott<-function(x){
xyplot(y~x|cond,groups=groups,
col = gray(seq(0.01,0.7,length=length(levels(as.factor(groups))))),
pch = 1:length(levels(as.factor(groups))),
key = NULL)
}
plot1<-plott(x=x1)
plot2<-plott(x=x2)
plot3<-plott(x=x3)
plot4<-plott(x=x4)
grid.arrange(plot1,plot2,plot2,plot4,ncol=2)
KeyA<-list(space="top",
text = list(as.character(levels(as.factor(groups)))),
points = TRUE, lines = TRUE, columns = 11,
pch = 1:length(levels(as.factor(groups))),
col = gray(seq(0.01,0.7,length=length(levels(as.factor(groups))))),
cex=1)
draw.key(KeyA, draw = TRUE, vp =
viewport(.50, .99))
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