在grid.arrange中设置图形y轴的高度，而不是整个绘图区域的高度
使用网格排列时遇到以下问题：
我希望我的所有面板（a，b，c）都具有相同的尺寸，但是我从面板a和b（只有一个x轴）中删除了标签和刻度线的大小
图a和b更大并且等于c的标记和刻度标记的图c +空间的大小。
我也不能使用ggplot2::facet_grid，因为我想独立指定y轴限制（例如，直到40和b和c直到15）。
您可以在下面找到用于生成此图的工作示例，基于this post垂直对齐图，但我无法确定如何单独确保每个图的相同高度。欢迎任何指示。
library(ggplot2)
library(gridExtra)
# generate data
data <- data.frame(values=c(runif(20,0,40),runif(40,0,15)),product=c(rep("a",20),rep("b",20),rep("c",20)),treat=c("e","f","g","h","i"),time=c(0,6,24,48))
my_labeller <- function(var, value){
value <- as.character(value)
value <- c("a","b","c")
return(value)
}
#subset data
data_a <- data[1:20,]
data_b <- data[21:40,]
data_c <- data[41:60,]
# Make plots for all parameters seperatly:
p_a <- ggplot(data_a,fill = white,
aes(x=as.numeric(as.character(time)),y=as.numeric(as.character(values))))
p_a <- p_a+ geom_point(aes(colour=treat,shape=treat),size=4)
p_a <- p_a + geom_line(aes(colour=treat))
p_a <- p_a + theme(axis.ticks.x = element_line(colour = "grey"),
axis.ticks.y =element_line(colour = "grey"),
panel.background = element_rect(fill = "white"),
panel.grid.major=element_blank(),
panel.grid.minor=element_blank(),
axis.line = element_line(colour = "grey"),
axis.text.x = element_text(size = 15),
axis.text.y = element_text(size = 15),
axis.title.x = element_text(size =18),
axis.title.y = element_text(size=18,angle=0),
legend.text = element_text(size=15),
legend.title = element_blank(),
legend.position = "right"
)
p_a <- p_a + scale_colour_manual(values = c("#FFFF55","#000000","#0000AA","#00AA00","#00AAAA"), breaks= c("e","f","g","h","i"),
labels = c("e","f","g","h","i")
)
p_a <- p_a + scale_shape_manual(values =c(15:18,8), breaks= c("e","f","g","h","i"),
labels = c("e","f","g","h","i")
)
p_a <- p_a + guides(color = guide_legend(nrow=5),size = 16)
# p <- p+ guides(colour="legend",size="none",shape= "legend")
p_a <- p_a + scale_x_continuous(breaks= c(0,6,24,48))
p_a <- p_a + xlab("Time (h)") + ylab(paste(data_a$product, "(mM)"))
p_a <- p_a + ylim(0,40)
print(p_a)
p_b <- ggplot(data_b,fill = white,
aes(x=as.numeric(as.character(time)),y=as.numeric(as.character(values))))
p_b <- p_b+ geom_point(aes(colour=treat,shape=treat),size=4)
p_b <- p_b + geom_line(aes(colour=treat))
p_b <- p_b + theme(axis.ticks.x = element_line(colour = "grey"),
axis.ticks.y =element_line(colour = "grey"),
panel.background = element_rect(fill = "white"),
panel.grid.major=element_blank(),
panel.grid.minor=element_blank(),
axis.line = element_line(colour = "grey"),
axis.text.x = element_text(size = 15),
axis.text.y = element_text(size = 15),
axis.title.x = element_text(size =18),
axis.title.y = element_text(size=18,angle=0),
legend.text = element_text(size=15),
legend.title = element_blank(),
legend.position = "right"
)
p_b <- p_b + scale_colour_manual(values = c("#FFFF55","#000000","#0000AA","#00AA00","#00AAAA"), breaks= c("e","f","g","h","i"),
labels = c("e","f","g","h","i")
)
p_b <- p_b + scale_shape_manual(values =c(15:18,8), breaks= c("e","f","g","h","i"),
labels = c("e","f","g","h","i")
)
p_b <- p_b + guides(color = guide_legend(nrow=5),size = 16)
# p <- p+ guides(colour="legend",size="none",shape= "legend")
p_b <- p_b + scale_x_continuous(breaks= c(0,6,24,48))
p_b <- p_b + xlab("Time (h)") + ylab(paste(data_b$product, "(mM)"))
p_b <- p_b + ylim (0,15)
print(p_b)
p_c <- ggplot(data_c,fill = white,
aes(x=as.numeric(as.character(time)),y=as.numeric(as.character(values))))
p_c <- p_c+ geom_point(aes(colour=treat,shape=treat),size=4)
p_c <- p_c + geom_line(aes(colour=treat))
p_c <- p_c + theme(axis.ticks.x = element_line(colour = "grey"),
axis.ticks.y =element_line(colour = "grey"),
panel.background = element_rect(fill = "white"),
panel.grid.major=element_blank(),
panel.grid.minor=element_blank(),
axis.line = element_line(colour = "grey"),
axis.text.x = element_text(size = 15),
axis.text.y = element_text(size = 15),
axis.title.x = element_text(size =18),
axis.title.y = element_text(size=18,angle=0),
legend.text = element_text(size=15),
legend.title = element_blank(),
legend.position = "right"
)
p_c <- p_c + scale_colour_manual(values = c("#FFFF55","#000000","#0000AA","#00AA00","#00AAAA"), breaks= c("e","f","g","h","i"),
labels = c("e","f","g","h","i")
)
p_c <- p_c + scale_shape_manual(values =c(15:18,8), breaks= c("e","f","g","h","i"),
labels = c("e","f","g","h","i")
)
p_c <- p_c + guides(color = guide_legend(nrow=5),size = 16)
# p <- p+ guides(colour="legend",size="none",shape= "legend")
p_c <- p_c + scale_x_continuous(breaks= c(0,6,24,48))
p_c <- p_c + xlab("Time (h)") + ylab(paste(data_c$product, "(mM)"))
p_c <- p_c + ylim (0,15)
print(p_c)
# now remove space in between a and b and b and c
p_a <- p_a + theme(plot.margin = rep(unit(0,"null"),4),
panel.margin = unit(0,"null"),
axis.ticks.length = unit(0,"null"),
axis.ticks.margin = unit(0,"null")) +
labs(x=NULL) +
scale_x_discrete(breaks=NULL) +
guides(fill=FALSE)
p_b <- p_b + theme(plot.margin = rep(unit(0,"null"),4),
panel.margin = unit(0,"null"),
axis.ticks.length = unit(0,"null"),
axis.ticks.margin = unit(0,"null")) +
labs(x=NULL) +
scale_x_discrete(breaks=NULL) +
guides(fill=FALSE)
p_c <- p_c + theme(plot.margin = rep(unit(0,"null"),4),
panel.margin = unit(0,"null"))
# arrange them (+ align)
plots <- list(p_a,p_b,p_c)
grobs <- list()
widths <- list()
for (i in 1:length(plots)){
grobs[[i]] <- ggplotGrob(plots[[i]])
widths[[i]] <- grobs[[i]]$widths[2:5]
}
maxwidth <- do.call(grid::unit.pmax, widths)
for (i in 1:length(grobs)){
grobs[[i]]$widths[2:5] <- as.list(maxwidth)
}
do.call("grid.arrange", c(grobs, ncol = 1))
我在Linux上使用R。 session.Info（）的输出是：
R version 3.1.1 (2014-07-10)
Platform: x86_64-pc-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=C LC_COLLATE=C LC_MONETARY=C LC_MESSAGES=C LC_PAPER=C LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=C LC_IDENTIFICATION=C
attached base packages:
[1] grid stats graphics grDevices utils datasets methods base
other attached packages:
[1] gridExtra_0.9.1 ggvis_0.4 fastmatch_1.0-4 dplyr_0.3.0.2 shiny_0.10.2.1 xlsx_0.5.7 xlsxjars_0.6.1 rJava_0.9-6 ggplot2_1.0.0 reshape2_1.4 gdata_2.13.3
loaded via a namespace (and not attached):
[1] DBI_0.3.1 MASS_7.3-35 R6_2.0.1 RJSONIO_1.3-0 Rcpp_0.11.3 assertthat_0.1 colorspace_1.2-4 digest_0.6.4 gtable_0.1.2 gtools_3.4.1
[11] htmltools_0.2.6 httpuv_1.3.2 labeling_0.3 magrittr_1.0.1 mime_0.2 munsell_0.4.2 parallel_3.1.1 plyr_1.8.1 proto_0.3-10 scales_0.2.4
[21] stringr_0.6.2 tools_3.1.1 xtable_1.7-4
2 个答案:
答案 0 :(得分：5)
您应该使用rbind而不是grid.arrange，
plots <- list(p_a, p_b, p_c)
grobs <- lapply(plots, ggplotGrob)
# for gridExtra < v2.3, use do.call(gridExtra::rbind.gtable, grobs)
# for gridExtra >= v2.3 use:
g <- do.call(gridExtra::gtable_rbind, grobs)
library(grid)
grid.newpage()
grid.draw(g)
答案 1 :(得分：0)
一个hack可能是将facet_grid与scales = "free_y"一起使用，并添加一些＆＃34;隐形＆＃34; ggplot自动生成y轴限制时将使用的数据。如果您希望将自动生成的轴扩展到超出数据限制的范围，则可以使用此功能，但如果您想限制它们以排除部分数据，则无效：
data <- data.frame(values=c(runif(20,0,40),runif(40,0,15)),
product=c(rep("a",20),rep("b",20),rep("c",20)),
treat=c("e","f","g","h","i"),
time=c(0,6,24,48))
ggplot(data, aes(time, values, color=treat)) +
geom_line() + geom_point() +
geom_hline(data=data.frame(product=c("a", "b", "c"), values=c(40, 15, 15)),
aes(yintercept=values), color="white") +
facet_grid(product~., scales="free") +
theme(panel.background=element_blank(), panel.grid=element_blank())
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