关于r：ggplot2，更改标题大小

ggplot2, change title size

我希望主标题和轴标题的字体大小与绘图中带注释的文本的字体大小相同。

我使用theme_get()并发现文本大小为12，所以我在主题声明中做到了这一点-这不起作用。我还尝试将相对大小发送为1，但这不起作用

enter

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library(ggplot2)
library(gridExtra) #to set up plot grid
library(stringr) #string formatting functions
library(plyr) #rbind.fill function
library(reshape2) #transformation of tables

dat<-data.frame(
est=c(2.75,2.95,2.86,2.99),
ucl=c(2.92,3.23,3.38,4.91),
lcl=c(2.24,1.67,2.44,1.82),
ord=c(1,2,1,2)
)
dat$varname<-c('Estimate','Predictive','Estimate','Predictive')
dat$grp<-c('Cobalt','Cobalt','Chromium','Chromium')

for (i in unique(dat$grp)) {
dat <- rbind.fill(dat, data.frame(grp = i, ord=0,
stringsAsFactors = F))
}

dat$grp_combo <- factor(paste(dat$grp, dat$ord, sep =","))
dat$grpN <- as.numeric(dat$grp_combo)

rng <- c(0,6)
scale.rng <-1

xstart=-(max(dat$grpN)+2)
xend=4

ThemeMain<-theme(legend.position ="none", plot.margin = unit(c(0,0,0, 0),"npc"),
panel.margin = unit(c(0,0, 0, 0),"npc"),
title =element_text(size=12, face='bold'),
axis.text.y = element_blank(),
axis.text.x = element_text(color='black'),
axis.ticks.y = element_blank(),
axis.title.x = element_text(size=12,color='black',face='bold')
)
BlankSettings <- theme(legend.position ="none",
title =element_text(size=12, face='bold'),
plot.margin = unit(c(0,0, 0, 0),"npc"),
panel.margin = unit(c(0,0, 0, 0),"npc"),
axis.text.x = element_text(color='white'),
axis.text.y = element_blank(),
axis.ticks.x = element_line(color ="white"),
axis.ticks.y=element_blank(),
axis.title.x = element_text(size=12,color='white',face='bold'),
panel.grid = element_blank(),panel.grid.major = element_blank(),panel.background = element_blank()
)

pd <- position_dodge(width = 0.7)

#######################################################################################################
#MAIN PLOT
#######################################################################################################
mainPart<-
ggplot(dat, aes(x=-grpN,y=est, ymin=lcl, ymax=ucl, group=1)) +
scale_y_continuous(name=NULL, breaks=seq(rng[1], rng[2], scale.rng), limits=c(rng[1], rng[2]), expand=c(0,0)) +
ylab('Ion Concentration') +
ggtitle('Mean with 95% HDI')+
#geom_segment(aes(x=xstart, xend=0, y=0, yend=0), linetype=3, alpha=0.01) +
geom_linerange(aes(linetype="1"),position=pd) +
geom_point(aes(shape="1"), fill="white",position=pd) +
coord_flip() +
scale_x_continuous(limits=c(xstart,xend), expand=c(0,0))+xlab(NULL)+
ThemeMain

#######################################################################################################
#varnameS
#######################################################################################################
# ystart & yend are arbitrary. [0, 1] is
# convinient for setting relative coordinates of
# columns
ystart = 0
yend = 1
p1 <-
ggplot(dat, aes(x = -varnameN, y = 0)) +
coord_flip() +
scale_y_continuous(limits = c(ystart, yend)) +
BlankSettings+
scale_x_continuous(limits = c(xstart, xend), expand = c(0, 0)) +
xlab(NULL) +
ylab('') +
ggtitle('')

studyList<-
p1 +
with(unique(dat[is.na(dat$varname),c("grpN","grp")]), annotate("text",label=grp, x=-grpN,y=0, fontface='bold', hjust=0)) + #Variable Group varnames
with(dat[!is.na(dat$var),],annotate("text",label=varname,x=-grpN,y=0.04, hjust=0)) #Variables

#######################################################################################################
#EFFECTS
#######################################################################################################
f<-function(x) round(x,2)
dat$msmt<-paste(f(dat$est),' [',f(dat$lcl),', ',f(dat$ucl),']',sep='')

effectSizes<-p1+
annotate("text",x=-dat$grpN, y=0.25,label=ifelse(is.na(dat$varname)==T,'',dat$msmt))

grid.arrange(ggplotGrob(studyList), ggplotGrob(mainPart),
ggplotGrob(effectSizes), ncol = 3, widths = unit(c(0.19,
0.4, 0.41),"npc"))