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我有一个具体问题（至少我喜欢认为:)）。我想对齐两列两行的三个地块。对齐应该在中心图之后（见图;图C），其中图A应该在图C的x轴之后对齐，并且图D应该与图C的y轴对齐。注意，没有图B，这应该保持空虚。对齐垂直和水平绘图R ggplot2
数据：
a <- data.frame(
id = 1:15,
GO = c(
"phosphoglycerate kinase", "phosphoglycerate kinase",
"phosphoglycerate kinase", "phosphoglycerate kinase", "phosphoglycerate kinase",
"phenylalanine-tRNA ligase", "phenylalanine-tRNA ligase", "phenylalanine-tRNA ligase",
"phenylalanine-tRNA ligase", "phenylalanine-tRNA ligase", "allantoicase",
"allantoicase", "allantoicase", "allantoicase", "allantoicase"),
variable = c(
"d64", "d31", "d16", "d9", "d0", "d64", "d31", "d16", "d9", "d0", "d64", "d31", "d16", "d9", "d0"),
value = c(
154.28239, 226.04355, 245.67728, 271.82375, 270.83519, 289.01809, 491.66461,
485.28291, 351.3759, 510.96043, 22.75253, 31.66546, 129.50564, 206.6651, 32.43769),
relAbundByGO = c(
13.201624, 19.342078, 21.022096, 23.259395, 23.174806, 13.57975, 23.101262,
22.801413, 16.509683, 24.007892, 5.378513, 7.485456, 30.614078, 48.853948, 7.668005),
GOd = c(
"phosphoglycerate kinase", "phosphoglycerate kinase",
"phosphoglycerate kinase", "phosphoglycerate kinase", "phosphoglycerate kinase",
"phenylalanine-tRNA ligase", "phenylalanine-tRNA ligase", "phenylalanine-tRNA ligase",
"phenylalanine-tRNA ligase", "phenylalanine-tRNA ligase", "allantoicase",
"allantoicase", "allantoicase", "allantoicase", "allantoicase"
))
b <- data.frame(
id = 1:15,
Compound = c(
"C5-C10", "C5-C10", "C5-C10",
"C5-C10", "C5-C10", "C10-C20", "C10-C20", "C10-C20", "C10-C20",
"C10-C20", "BTEX", "BTEX", "BTEX", "BTEX", "BTEX"),
Degradation = c(
100, 100, 23.5, 5.6, 0, 100, 100, 67.2, 19, 0.6, 100, 100, 88.7, 43.3, 0.1),
st()dev = c(
0, 0, 35, 12.4, 0, 0, 0, 19.3, 13.1, 0.6, 0, 0, 33.4, 43.4, 0.2),
day = c(
"NSWOD-0", "NSWOD-64", "NSOD-9",
"NSOD-16", "NSOD-31", "NSWOD-0", "NSWOD-64", "NSOD-9", "NSOD-16",
"NSOD-31", "NSWOD-0", "NSWOD-64", "NSOD-9", "NSOD-16", "NSOD-31"))
这是cowplot一试：
a$GO <- factor(a$GO, levels = a$GO) #keep the same order as in table
a$variable <- factor(a$variable, levels = c("d0", "d64", "d9", "d16", "d31"))
p1 <- ggplot(data = a, aes(x=variable, y=GO)) +
geom_tile(aes(fill=relAbundByGO), colour = "white") + ylab("Gene ontology") +
scale_fill_gradient(name="Relative\nabundance of TPM", low = "green", high = "red", limits=c(0, 100), na.value="transparent") +
scale_x_discrete("Sample",
breaks = c("d0", "d64", "d9", "d16", "d31"),
labels = c("CTRL-0", "CTRL-64", "CEWAF-9","CEWAF-16","CEWAF-31")) +
theme(legend.position="left")
p1
a$GO <- factor(a$GO, levels = a$GO) #keep the same order as in table
p2 <- ggplot(data = a, aes(x=GO, y=value)) +
geom_bar(stat = "identity") +
theme(axis.text.x = element_text(angle = 0)) +
ylab("Cumulative TPM abundance") +
theme(axis.text.y=element_blank(),
axis.title.y=element_blank()) +
coord_flip()
p2
b$day <- factor(b$day, levels = b$day) #keep the same order as in table
p3 <- ggplot(b, aes(x=day, y=Degradation, color=Compound, group=Compound)) +
geom_point(size=4, shape=21, fill="white") +
geom_line(size=0.7) +
ylab("Hydrocarbon content (%)") +
geom_errorbar(aes(ymax=Degradation + stdev, ymin=Degradation-stdev), linetype="dashed", lwd=.6, width=.4) +
theme_bw(base_size = 12, base_family = "Helvetica") +
theme(axis.text.x=element_blank()
,axis.ticks=element_blank()
,axis.title.x=element_blank(),
legend.position="left") +
scale_color_discrete(name="Hydrocarbon\ngroup",
breaks=c("C5-C10", "C10-C20", "BTEX", "PAHs"))
p3
legend_p1 <- get_legend(p1)
legend_p3 <- get_legend(p3)
p1 <- p1 + theme(legend.position='none')
p3 <- p3 + theme(legend.position='none')
cowplot::plot_grid(
cowplot::plot_grid(legend_p3, legend_p1, ncol = 1),
cowplot::plot_grid(p3, NULL, p1, p2, ncol = 2, nrow = 2, rel_widths = c(1, 0.75, 1, 0.75), labels = c('A', '', 'C', 'D'), align = "hv"),
rel_widths = c(0.16, 1))
我想有情节d非常接近曲线C
杰尼
您是否使用了A和C的x轴相同的价值观？看到这个例子，它很好地被alligned：'library（ggplot2）;库（cowplot）; a < - ggplot（cars，aes（x = speed））+ geom_bar（）; c < - ggplot（cars，aes（x = speed，y = dist））+ geom_point（）; d < - ggplot（cars，aes（x = dist，y = speed））+ geom_point（）; plot_grid（a，NULL，c，d，ncol = 2，nrow = 2，rel_widths = c（10/16，6/16，10/16，6/16），labels = c（'A'，''， 'C'，'D'），align =“hv”）' –
_“希望有人能够尝试重现某些东西”，嗯，我认为这是对你的一个可重复的例子。你是否收到关于对齐的消息或警告？ – Axeman
@ m-dz，无论X轴值如何，绘图区域将会/应该对齐。传说可能会提供问题。 – Axeman