我用来ggplot2创建以下情节:
library(ggplot2)
df <- data.frame(site=rep(c("CA-Oas","US-Oho","CA-Obs","CA-TP1"), each=124),
exper=rep(c("bberry","medlyn"), each=62, 4),
sm=runif(496, min=0, max=100),
lh=runif(496, min=0, max=400),
month=rep(c("Jul","Aug"), each=31, 8))
ggplot(df, aes(x=sm, y=lh, colour=exper, shape=month)) +
geom_point(size=2.5, alpha=0.9) +
facet_wrap(~site, nrow=2) +
theme_bw(base_size=18) +
ylab(bquote('Latent heat ('*W~m^-2*')')) +
xlab(bquote('Soil water content (%)')) +
scale_color_manual(values=c("bberry"="tomato2", "medlyn"="dodgerblue"),
labels=c("bberry"="Ball-Berry", "medlyn"="Medlyn")) +
theme(panel.grid.minor=element_blank(),
panel.grid.major=element_blank(),
legend.title=element_blank(),
legend.box="horizontal",
legend.position=c(0.4, 0.6),
legend.spacing = unit(-0.2,"cm"))
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然而,我正在写手稿的期刊要求所有图在两个轴(上/下和左/右)上都有刻度。我正在努力实现这一目标ggplot2。
基本上,我需要的是:
关于如何到达那里有任何提示吗?
facet_rep_wrap柠檬包中的非常适合此目的,因为它在所有方面都保留了轴线(以及可选的标签)。
有关代码的其他调整,请参阅下面的内联注释:
library(lemon)
ggplot(df, aes(x=sm, y=lh, colour=exper, shape=month)) +
geom_point(size=2.5, alpha=0.9) +
facet_rep_wrap(~site, nrow = 2) + # instead of facet_wrap
theme_bw(base_size=18) +
ylab(bquote('Latent heat ('*W~m^-2*')')) +
xlab(bquote('Soil water content (%)')) +
scale_x_continuous(sec.axis = dup_axis()) + # add duplicated secondary axis to get
scale_y_continuous(sec.axis = dup_axis()) + # axes on top / right sides
scale_color_manual(values=c("bberry"="tomato2", "medlyn"="dodgerblue"),
labels=c("bberry"="Ball-Berry", "medlyn"="Medlyn")) +
theme(panel.grid.minor=element_blank(),
panel.grid.major=element_blank(),
legend.title=element_blank(),
legend.box="horizontal",
legend.position=c(0.4, 0.6),
legend.spacing = unit(-0.2,"cm"),
strip.placement = "outside", # place facet strips outside axis
axis.ticks.length = unit(-2.75, "pt"), # point axis ticks inwards (2.75pt is
# the default axis tick length here)
axis.text.x.top = element_blank(), # do not show top / right axis labels
axis.text.y.right = element_blank(), # for secondary axis
axis.title.x.top = element_blank(), # as above, don't show axis titles for
axis.title.y.right = element_blank()) # secondary axis either
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(注意:仅使用 ggplot2 和一些 grob hacking 就可以达到相同的结果,但这种方法相当复杂,所以我不会去那里,除非在计算环境中安装新软件包确实很麻烦......)